---
title: LLM Development
description: Home         /         Services         /         LLM App Development                               Available Now · 90+ Readymade Solutions                     
url: https://miracuves.com/service/llm-development
date_modified: 2026-06-23
author: miracuves
language: en_US
---

@import url('https://fonts.googleapis.com/css2?family=Montserrat:ital,wght@0,300;0,400;0,500;0,600;0,700;0,800;0,900&family=JetBrains+Mono:wght@400;500;600&display=swap');

  /* Redesign variables - Corporate brand dark & red glass accents */
  .ta {
    --red: #a70d2a;
    /* Corporate primary red */
    --red-d: #990000;
    /* Corporate alternate red */
    --red-l: #a70d2a;
    /* Light brand accent */
    --ra: rgba(167, 13, 42, 0.06);
    /* Transparent brand primary */
    --rb: rgba(167, 13, 42, 0.16);
    --rc-glow: rgba(167, 13, 42, 0.12);
    --rg: linear-gradient(135deg, #a70d2a 0%, #990000 100%);
    /* Strict primary-alternate red gradient */
    --green: #00E676;
    /* Vibrant Emerald Green */
    --gl: #26A69A;
    /* Beautiful Clean Teal */
    --teal: #00F3FF;
    /* High-fidelity Neon Cyan */

    /* High-end obsidian dark scales */
    --dk0: #030008;
    /* Obsidian deep background */
    --dk1: #07040f;
    /* Sleek card background */
    --dk2: #0c081a;
    /* Elevated container dark */
    --dk3: #120e26;
    /* Saturated card base */
    --dk4: #191433;
    /* Modern highlight dark */

    /* Elevated glassmorphism */
    --card: rgba(8, 4, 15, 0.76);
    /* Frosted premium glass */
    --cardh: rgba(14, 8, 25, 0.88);
    /* Hover glass brightness */
    --l0: #ffffff;
    --l1: #fafafd;
    --l2: #f2f1f6;
    --l3: #e8e7ee;

    /* Text and borders */
    --dx1: #ffffff;
    --dx2: rgba(255, 255, 255, 0.95);
    --dx3: rgba(255, 255, 255, 0.65);
    --dx4: rgba(255, 255, 255, 0.35);
    --lx1: #0c0716;
    --lx2: #322d3e;
    --lx3: #5f5a70;
    --lx4: #928ea3;

    /* High fidelity grid borders */
    --bd: rgba(255, 255, 255, 0.06);
    --bd2: rgba(255, 255, 255, 0.12);
    --bd3: rgba(255, 255, 255, 0.20);
    --bl: rgba(12, 7, 22, 0.04);
    --bl2: rgba(12, 7, 22, 0.08);

    /* Animations */
    --f: 'Montserrat', -apple-system, sans-serif;
    --fm: 'JetBrains Mono', monospace;
    --r20: 20px;
    --r14: 14px;
    --r10: 10px;
    --r6: 6px;
    --r100: 100px;
    --spring: cubic-bezier(0.175, 0.885, 0.32, 1.275);
    /* Fluid elastic bounce */
    --ease: cubic-bezier(0.16, 1, 0.3, 1);
  }

  .ta,
  .ta * {
    box-sizing: border-box !important;
  }

  .ta {
    font-family: var(--f) !important;
    -webkit-font-smoothing: antialiased;
    font-size: 15px;
    line-height: 1.7;
    color: var(--lx2);
    width: 100%;
    overflow-x: hidden;
    background: var(--l0);
  }

  .ta h1,
  .ta h2,
  .ta h3,
  .ta h4,
  .ta p,
  .ta ul,
  .ta ol {
    margin: 0;
    padding: 0;
  }

  .ta ul,
  .ta ol {
    list-style: none;
  }

  .ta a {
    text-decoration: none !important;
    color: inherit;
  }

  .ta img {
    max-width: 100%;
    display: block;
  }

  /* Layout & Grid systems */
  .ta .W {
    max-width: 1260px;
    margin: 0 auto;
    padding: 0 40px;
  }

  .ta .S {
    padding: 120px 0;
    position: relative;
  }

  .ta .SM {
    padding: 75px 0;
    position: relative;
  }

  .ta .g2 {
    display: grid;
    grid-template-columns: 1fr 1fr;
    gap: 32px;
  }

  .ta .g3 {
    display: grid;
    grid-template-columns: repeat(3, 1fr);
    gap: 32px;
  }

  .ta .g4 {
    display: grid;
    grid-template-columns: repeat(4, 1fr);
    gap: 24px;
  }

  .ta .g5 {
    display: grid;
    grid-template-columns: repeat(5, 1fr);
    gap: 0;
  }

  .ta .sp5050 {
    display: grid;
    grid-template-columns: 1fr 1fr;
    gap: 88px;
    align-items: start;
  }

  .ta .sp5050a {
    display: grid;
    grid-template-columns: 1fr 1fr;
    gap: 96px;
    align-items: start;
  }

  .ta .hi>*,
  .ta .sp5050>*,
  .ta .sp5050a>*,
  .ta .two-col>* {
    min-width: 0;
  }

  /* Skins and Ambient backgrounds */
  .ta .sD {
    background: var(--dk1);
  }

  .ta .sD2 {
    background: var(--dk2);
  }

  .ta .sW {
    background: var(--l0);
    position: relative;
  }

  .ta .sG {
    background: var(--l1);
    position: relative;
  }

  .ta .sR {
    background: var(--red-d);
    position: relative;
  }

  .ta .sD h2,
  .ta .sD h3,
  .ta .sD h4,
  .ta .sD2 h2,
  .ta .sD2 h3,
  .ta .sD2 h4 {
    color: var(--dx1);
  }

  .ta .sD p,
  .ta .sD2 p {
    color: var(--dx2);
  }

  .ta .sD .mu,
  .ta .sD2 .mu {
    color: var(--dx3);
  }

  .ta .sW h2,
  .ta .sW h3,
  .ta .sW h4,
  .ta .sG h2,
  .ta .sG h3,
  .ta .sG h4 {
    color: var(--lx1);
  }

  .ta .sW p,
  .ta .sG p {
    color: var(--lx2);
  }

  .ta .sW .mu,
  .ta .sG .mu {
    color: var(--lx3);
  }

  .ta .sR h2,
  .ta .sR h3,
  .ta .sR h4 {
    color: #fff;
  }

  .ta .sR p {
    color: rgba(255, 255, 255, 0.9);
  }

  /* Typography system */
  .ta h1 {
    font-size: clamp(52px, 7vw, 92px);
    font-weight: 800;
    line-height: 0.98;
    letter-spacing: -3.8px;
  }

  .ta h2 {
    font-size: clamp(34px, 4.2vw, 54px);
    font-weight: 800;
    line-height: 1.06;
    letter-spacing: -2px;
  }

  .ta h2 em {
    font-style: normal;
    color: var(--red);
  }

  .ta .sR h2 em {
    color: #a70d2a;
  }

  .ta h3 {
    font-size: 21px;
    font-weight: 800;
    line-height: 1.25;
    letter-spacing: -0.6px;
  }

  .ta .lead {
    font-size: 18px;
    line-height: 1.76;
    font-weight: 400;
    max-width: 640px;
  }

  .ta .body {
    font-size: 15px;
    line-height: 1.76;
    font-weight: 400;
  }

  /* Micro-animations */
  @keyframes ta-fade-up {
    from {
      opacity: 0;
      transform: translateY(32px);
    }

    to {
      opacity: 1;
      transform: translateY(0);
    }
  }

  @keyframes ta-pulse {
    0% {
      transform: scale(0.6);
      opacity: 0.7;
    }

    100% {
      transform: scale(2.2);
      opacity: 0;
    }
  }

  @keyframes ta-float {

    0%,
    100% {
      transform: translateY(0) rotate(-2deg);
    }

    50% {
      transform: translateY(-8px) rotate(-1deg);
    }
  }

  @keyframes ta-float2 {

    0%,
    100% {
      transform: translateY(0) rotate(2deg);
    }

    50% {
      transform: translateY(-7px) rotate(1deg);
    }
  }

  @keyframes ta-draw {
    0% {
      stroke-dashoffset: 240;
    }

    100% {
      stroke-dashoffset: 0;
    }
  }

  @keyframes ta-orbit1 {
    from {
      transform: rotate(0deg) translateX(36px) rotate(0deg);
    }

    to {
      transform: rotate(360deg) translateX(36px) rotate(-360deg);
    }
  }

  @keyframes ta-orbit2 {
    from {
      transform: rotate(120deg) translateX(36px) rotate(-120deg);
    }

    to {
      transform: rotate(480deg) translateX(36px) rotate(-480deg);
    }
  }

  @keyframes ta-orbit3 {
    from {
      transform: rotate(240deg) translateX(36px) rotate(-240deg);
    }

    to {
      transform: rotate(600deg) translateX(36px) rotate(-600deg);
    }
  }

  @keyframes ta-core {

    0%,
    100% {
      transform: scale(1);
      box-shadow: 0 0 20px rgba(167, 13, 42, 0.4);
    }

    50% {
      transform: scale(1.08);
      box-shadow: 0 0 35px rgba(167, 13, 42, 0.85);
    }
  }

  @keyframes ta-dotglow {

    0%,
    100% {
      box-shadow: 0 0 0 0 rgba(74, 222, 128, 0.6);
    }

    50% {
      box-shadow: 0 0 0 8px rgba(74, 222, 128, 0);
    }
  }

  @keyframes ta-glow-pulse {

    0%,
    100% {
      opacity: 1;
      transform: scale(1);
    }

    50% {
      opacity: 0.8;
      transform: scale(1.05);
    }
  }

  @keyframes ta-shimmer {
    0% {
      transform: translateX(-100%);
    }

    100% {
      transform: translateX(100%);
    }
  }

  @keyframes drift {
    0% {
      transform: translate(0, 0) scale(1);
    }

    50% {
      transform: translate(4%, 5%) scale(1.08);
    }

    100% {
      transform: translate(-2%, -3%) scale(0.95);
    }
  }

  /* Ambient background light blobs */
  .ta .glow-blob {
    position: absolute;
    border-radius: 50%;
    filter: blur(130px);
    opacity: 0.15;
    pointer-events: none;
    z-index: 0;
  }

  .ta .glow-1 {
    top: -10%;
    right: -5%;
    width: 550px;
    height: 550px;
    background: radial-gradient(circle, var(--red) 0%, transparent 70%);
  }

  .ta .glow-2 {
    bottom: 10%;
    left: -10%;
    width: 450px;
    height: 450px;
    background: radial-gradient(circle, var(--red-d) 0%, transparent 70%);
  }

  .ta .glow-3 {
    top: 35%;
    right: 25%;
    width: 400px;
    height: 400px;
    background: radial-gradient(circle, var(--red-l) 0%, transparent 70%);
  }

  /* Scroll reveals */
  .ta .rev {
    opacity: 0;
    transform: translateY(32px);
    transition: opacity 0.8s var(--ease), transform 0.8s var(--ease);
  }

  .ta .rev.in {
    opacity: 1;
    transform: translateY(0);
  }

  .ta .revl {
    opacity: 0;
    transform: translateX(-32px);
    transition: opacity 0.8s var(--ease), transform 0.8s var(--ease);
  }

  .ta .revl.in {
    opacity: 1;
    transform: translateX(0);
  }

  .ta .revr {
    opacity: 0;
    transform: translateX(32px);
    transition: opacity 0.8s var(--ease), transform 0.8s var(--ease);
  }

  .ta .revr.in {
    opacity: 1;
    transform: translateX(0);
  }

  .ta .stag>* {
    opacity: 0;
    transform: translateY(24px);
    transition: opacity 0.65s var(--ease), transform 0.65s var(--ease);
  }

  .ta .stag.in>* {
    opacity: 1;
    transform: none;
    transition-delay: 0.35s;
  }

  .ta .stag.in>*:nth-child(1) {
    transition-delay: 0.04s;
  }

  .ta .stag.in>*:nth-child(2) {
    transition-delay: 0.08s;
  }

  .ta .stag.in>*:nth-child(3) {
    transition-delay: 0.12s;
  }

  .ta .stag.in>*:nth-child(4) {
    transition-delay: 0.16s;
  }

  .ta .stag.in>*:nth-child(5) {
    transition-delay: 0.20s;
  }

  .ta .stag.in>*:nth-child(6) {
    transition-delay: 0.24s;
  }

  .ta .stag.in>*:nth-child(7) {
    transition-delay: 0.28s;
  }

  .ta .stag.in>*:nth-child(8) {
    transition-delay: 0.32s;
  }

  .ta .stag.in>*:nth-child(9) {
    transition-delay: 0.35s;
  }

  .ta .stag.in>*:nth-child(10) {
    transition-delay: 0.38s;
  }

  .ta .stag.in>*:nth-child(11) {
    transition-delay: 0.41s;
  }

  .ta .stag.in>*:nth-child(12) {
    transition-delay: 0.44s;
  }

  .ta .stag.in>*:nth-child(13) {
    transition-delay: 0.47s;
  }

  .ta .stag.in>*:nth-child(14) {
    transition-delay: 0.50s;
  }

  .ta .stag.in>*:nth-child(15) {
    transition-delay: 0.53s;
  }

  .ta .stag.in>*:nth-child(16) {
    transition-delay: 0.56s;
  }

  /* Eyebrow Pill Badge */
  .ta .pill {
    display: flex;
    margin-bottom: 30px;
  }

  .ta .pill.c {
    justify-content: center;
  }

  .ta .eyp {
    display: inline-flex;
    align-items: center;
    gap: 10px;
    background: rgba(12, 7, 23, 0.85);
    backdrop-filter: blur(20px);
    -webkit-backdrop-filter: blur(20px);
    border: 1px solid var(--bd2);
    border-radius: var(--r100);
    padding: 8px 18px 8px 12px;
    font-size: 12.5px;
    font-weight: 600;
    color: rgba(255, 255, 255, 0.9);
    box-shadow: 0 4px 20px rgba(0, 0, 0, 0.4);
  }

  .ta .sW .eyp,
  .ta .sG .eyp {
    background: rgba(255, 255, 255, 0.85);
    border-color: var(--bl2);
    color: var(--lx2);
    box-shadow: 0 4px 16px rgba(12, 7, 22, 0.04);
  }

  .ta .sR .eyp {
    background: rgba(255, 255, 255, 0.12);
    border-color: rgba(255, 255, 255, 0.22);
    color: #fff;
  }

  .ta .eyp strong {
    color: #fff !important;
    font-weight: 700;
  }

  .ta .sW .eyp strong,
  .ta .sG .eyp strong {
    color: var(--red) !important;
  }

  .ta .eyp .el {
    width: 18px;
    height: 2px;
    background: var(--red);
    border-radius: 2px;
  }

  .ta .sR .eyp .el {
    background: rgba(255, 255, 255, 0.75);
  }

  /* Live Pulsing Dot */
  .ta .ldot {
    position: relative;
    width: 8px;
    height: 8px;
    background: var(--gl);
    border-radius: 50%;
    box-shadow: 0 0 12px rgba(74, 222, 128, 0.8);
    flex-shrink: 0;
    animation: ta-dotglow 2s ease-in-out infinite;
  }

  .ta .ldot::after {
    content: '';
    position: absolute;
    inset: -5px;
    border-radius: 50%;
    border: 1.5px solid var(--gl);
    opacity: 0.55;
    animation: ta-pulse 2.2s ease-out infinite;
  }

  /* Buttons */
  .ta .btn {
    position: relative;
    display: inline-flex;
    align-items: center;
    gap: 10px;
    font-family: var(--f);
    font-size: 14.5px;
    font-weight: 700;
    letter-spacing: 0.015em;
    padding: 16px 30px;
    border-radius: var(--r14);
    cursor: pointer;
    transition: transform 0.3s var(--spring), box-shadow 0.3s var(--ease), background 0.3s var(--ease);
    line-height: 1;
    white-space: nowrap;
    overflow: hidden;
    border: none;
    text-decoration: none !important;
  }

  .ta .btn svg {
    width: 18px;
    height: 18px;
    stroke-width: 2.4;
    position: relative;
    z-index: 1;
    flex-shrink: 0;
  }

  .ta .btn span {
    position: relative;
    z-index: 1;
  }

  .ta .btn-p {
    background: var(--rg);
    color: #fff !important;
    box-shadow: 0 12px 30px rgba(167, 13, 42, 0.35), inset 0 1px 0 rgba(255, 255, 255, 0.20);
  }

  .ta .btn-p::before {
    content: '';
    position: absolute;
    inset: 0;
    background: linear-gradient(110deg, transparent 25%, rgba(255, 255, 255, 0.25) 50%, transparent 75%);
    transform: translateX(-100%);
    transition: transform 0.65s var(--ease);
  }

  .ta .btn-p:hover {
    transform: translateY(-3px) scale(1.02);
    box-shadow: 0 18px 40px rgba(167, 13, 42, 0.5);
  }

  .ta .btn-p:hover::before {
    transform: translateX(100%);
  }

  .ta .btn-g {
    background: rgba(12, 7, 23, 0.6);
    color: #fff !important;
    border: 1px solid var(--bd2);
    backdrop-filter: blur(20px);
    -webkit-backdrop-filter: blur(20px);
  }

  .ta .btn-g:hover {
    background: rgba(12, 7, 23, 0.85);
    transform: translateY(-3px);
    border-color: var(--bd3);
    box-shadow: 0 12px 32px rgba(0, 0, 0, 0.45);
  }

  .ta .sW .btn-g,
  .ta .sG .btn-g {
    background: rgba(255, 255, 255, 0.85);
    color: var(--lx1) !important;
    border-color: var(--bl2);
    backdrop-filter: none;
    box-shadow: 0 2px 10px rgba(12, 7, 22, 0.04);
  }

  .ta .sW .btn-g:hover,
  .ta .sG .btn-g:hover {
    background: #fff;
    transform: translateY(-3px);
    box-shadow: 0 10px 24px rgba(12, 7, 22, 0.08);
    border-color: var(--bl2);
  }

  .ta .sR .btn-g {
    background: rgba(255, 255, 255, 0.16);
    color: #fff !important;
    border-color: rgba(255, 255, 255, 0.26);
  }

  .ta .sR .btn-g:hover {
    background: rgba(255, 255, 255, 0.26);
  }

  .ta .btn-wa {
    background: #25D366;
    color: #fff !important;
    box-shadow: 0 10px 24px rgba(37, 211, 102, 0.25);
    border: none;
  }

  .ta .btn-wa:hover {
    background: #20ba5a;
    transform: translateY(-3px);
    box-shadow: 0 12px 30px rgba(37, 211, 102, 0.4);
  }

  .ta .btn-wa svg {
    color: #fff;
  }

  /* Checklist Elements */
  .ta .ck {
    display: flex;
    gap: 14px;
    font-size: 15px;
    font-weight: 500;
    line-height: 1.62;
    padding: 14px 0;
    align-items: flex-start;
  }

  .ta .ck::before {
    content: '✓';
    font-weight: 900;
    font-size: 12px;
    margin-top: 3px;
    flex-shrink: 0;
    display: inline-flex;
    align-items: center;
    justify-content: center;
    width: 20px;
    height: 20px;
    border-radius: 50%;
  }

  .ta .sD .ck::before,
  .ta .sD2 .ck::before {
    color: var(--gl);
    background: rgba(74, 222, 128, 0.08);
  }

  .ta .sD .ck,
  .ta .sD2 .ck {
    color: var(--dx2);
  }

  .ta .sW .ck::before,
  .ta .sG .ck::before {
    color: var(--green);
    background: rgba(34, 197, 94, 0.08);
  }

  .ta .sW .ck,
  .ta .sG .ck {
    color: var(--lx2);
  }

  .ta .sR .ck::before {
    color: #ffd700;
    background: rgba(255, 215, 0, 0.12);
  }

  .ta .sR .ck {
    color: rgba(255, 255, 255, 0.88);
  }

  /* Structural Badges & Icons */
  .ta .nb {
    width: 38px;
    height: 38px;
    border-radius: 50%;
    display: flex;
    align-items: center;
    justify-content: center;
    font-size: 13.5px;
    font-weight: 800;
    flex-shrink: 0;
  }

  .ta .sD .nb,
  .ta .sD2 .nb {
    background: var(--ra);
    color: var(--red-l);
    border: 1px solid var(--rb);
  }

  .ta .sW .nb,
  .ta .sG .nb {
    background: var(--red);
    color: #fff;
  }

  .ta .sR .nb {
    background: rgba(255, 255, 255, 0.18);
    color: #fff;
    border: 1px solid rgba(255, 255, 255, 0.1);
  }

  .ta .ico {
    width: 44px;
    height: 44px;
    border-radius: var(--r10);
    display: flex;
    align-items: center;
    justify-content: center;
    border: 1px solid;
    background: var(--ra);
    border-color: var(--rb);
    flex-shrink: 0;
    transition: transform 0.3s var(--spring);
  }

  .ta .ico svg {
    width: 20px;
    height: 20px;
    color: var(--red-l);
    transition: color 0.3s;
  }

  .ta .titem:hover .ico {
    transform: scale(1.08) rotate(3deg);
    background: rgba(167, 13, 42, 0.12);
    border-color: rgba(167, 13, 42, 0.4);
  }

  .ta .sR .ico {
    background: rgba(255, 255, 255, 0.14);
    border-color: rgba(255, 255, 255, 0.24);
  }

  .ta .sR .ico svg {
    color: #fff;
  }

  /* Dynamic Header alignment */
  .ta .sh {
    display: flex;
    justify-content: space-between;
    align-items: flex-end;
    gap: 28px;
    flex-wrap: wrap;
    margin-bottom: 56px;
  }

  .ta .ta-bc {
    display: flex;
    align-items: center;
    gap: 8px;
    font-size: 12.5px;
    font-weight: 600;
    margin-bottom: 30px;
    flex-wrap: wrap;
    text-transform: uppercase;
    letter-spacing: 0.05em;
  }

  .ta .ta-bc a {
    color: var(--dx3);
    transition: color 0.2s;
    text-decoration: none;
  }

  .ta .ta-bc a:hover {
    color: var(--red-l);
  }

  .ta .ta-bc .bs {
    color: var(--dx4);
    opacity: 0.6;
    font-size: 10px;
    margin: 0 4px;
  }

  .ta .ta-bc .ta-bc-curr {
    color: var(--dx1);
    font-weight: 700;
  }

  /* ══ S01 HERO SECTION REDESIGN ══ */
  .ta .hero {
    background:
      radial-gradient(circle at 15% 15%, rgba(167, 13, 42, 0.25) 0%, transparent 55%),
      radial-gradient(circle at 85% 75%, rgba(255, 42, 95, 0.18) 0%, transparent 60%),
      radial-gradient(circle at 50% -10%, rgba(0, 243, 255, 0.08) 0%, transparent 45%),
      #04010a;
    position: relative;
    padding: 120px 0 20px;
    overflow: hidden;
  }

  .ta .hero::before {
    content: '';
    position: absolute;
    inset: 0;
    z-index: 0;
    background-image: linear-gradient(rgba(167, 13, 42, 0.03) 1px, transparent 1px), linear-gradient(90deg, rgba(167, 13, 42, 0.03) 1px, transparent 1px);
    background-size: 56px 56px;
    pointer-events: none;
  }

  /* Animated & Vibrant Hero Ambient Glows */
  .ta .hero .glow-blob {
    opacity: 0.38;
    filter: blur(140px);
    transition: opacity 0.5s ease;
  }

  .ta .hero .glow-1 {
    background: radial-gradient(circle, #ff2a5f 0%, transparent 70%);
    animation: drift 16s ease-in-out infinite alternate;
  }

  .ta .hero .glow-2 {
    background: radial-gradient(circle, var(--red) 0%, transparent 70%);
    animation: drift 20s ease-in-out infinite alternate-reverse 2s;
  }

  .ta .hero .glow-3 {
    background: radial-gradient(circle, var(--teal) 0%, transparent 70%);
    opacity: 0.22;
    animation: drift 24s ease-in-out infinite alternate 1s;
  }

  .ta .hi {
    display: grid;
    grid-template-columns: 1.05fr 0.95fr;
    gap: 72px;
    align-items: start;
    position: relative;
    z-index: 1;
  }

  .ta .hl {
    padding-bottom: 80px;
  }

  .ta .hew {
    display: flex;
    margin-bottom: 28px;
    animation: ta-fade-up 0.6s var(--ease) both;
  }

  .ta .he {
    display: inline-flex;
    align-items: center;
    gap: 10px;
    background: rgba(12, 7, 23, 0.85);
    backdrop-filter: blur(24px);
    border: 1px solid var(--bd2);
    border-radius: var(--r100);
    padding: 8px 18px 8px 12px;
    font-size: 12.5px;
    font-weight: 600;
    color: rgba(255, 255, 255, 0.9);
    box-shadow: 0 4px 20px rgba(0, 0, 0, 0.4);
  }

  /* Gradient H1 Hero typography */
  .ta .hh1 {
    font-size: clamp(54px, 7.5vw, 94px);
    font-weight: 800;
    line-height: 0.96;
    letter-spacing: -0.045em;
    color: var(--dx1);
    animation: ta-fade-up 0.7s var(--ease) 0.1s both;
  }

  .ta .hh1 em {
    font-style: normal;
    color: #ff3355 !important;
    -webkit-text-fill-color: #ff3355 !important;
    background: none !important;
    -webkit-background-clip: initial !important;
    background-clip: initial !important;
    padding: 0 !important;
    border-radius: 0 !important;
    box-shadow: none !important;
    display: inline !important;
    letter-spacing: -0.045em;
    text-shadow: 0 0 20px rgba(255, 51, 85, 0.25);
  }

  .ta .hh1 .h1s {
    display: block;
  }

  .ta .hh1 .dim {
    color: rgba(255, 255, 255, 0.85);
    font-weight: 700;
    font-size: 0.68em;
    display: block;
    margin-top: 14px;
    letter-spacing: -0.035em;
    -webkit-text-fill-color: rgba(255, 255, 255, 0.85);
  }

  .ta .hdim {
    color: #ffffff;
    font-weight: 700;
    font-size: 26px;
    display: block;
    margin-top: 14px;
    letter-spacing: -0.01em;
    -webkit-text-fill-color: #ffffff;
  }

  .ta .hlead {
    font-size: 18.5px;
    line-height: 1.76;
    color: var(--dx2);
    margin-top: 24px;
    max-width: 540px;
    animation: ta-fade-up 0.7s var(--ease) 0.18s both;
    font-weight: 400;
  }

  .ta .htrust {
    display: flex;
    flex-wrap: wrap;
    gap: 10px;
    margin: 30px 0;
    animation: ta-fade-up 0.7s var(--ease) 0.24s both;
  }

  .ta .htr {
    display: inline-flex;
    align-items: center;
    gap: 8px;
    font-size: 12.5px;
    font-weight: 600;
    background: rgba(255, 255, 255, 0.08);
    border: 1px solid rgba(255, 255, 255, 0.16);
    color: #ffffff;
    padding: 8px 16px;
    border-radius: var(--r100);
    transition: all 0.3s var(--ease);
  }

  .ta .htr:hover {
    background: rgba(255, 255, 255, 0.14);
    border-color: rgba(255, 255, 255, 0.26);
    transform: translateY(-2px);
    box-shadow: 0 4px 12px rgba(167, 13, 42, 0.15);
  }

  .ta .htr svg {
    width: 13px;
    height: 13px;
    color: var(--green);
    flex-shrink: 0;
  }

  .ta .hctas {
    display: flex;
    gap: 16px;
    flex-wrap: wrap;
    animation: ta-fade-up 0.7s var(--ease) 0.3s both;
  }

  .ta .hproof {
    display: flex;
    gap: 16px;
    align-items: center;
    margin-top: 28px;
    flex-wrap: wrap;
    font-size: 12.5px;
    font-weight: 600;
    animation: ta-fade-up 0.7s var(--ease) 0.36s both;
    color: rgba(255, 255, 255, 0.85);
  }

  .ta .hproof a {
    color: #ffffff;
    text-decoration: underline !important;
    display: inline-flex;
    align-items: center;
    gap: 6px;
    transition: opacity 0.2s;
    font-weight: 700;
  }

  .ta .hproof a:hover {
    opacity: 0.8;
  }

  .ta .hproof .dot {
    color: rgba(255, 255, 255, 0.35);
  }

  .ta .hr {
    padding-top: 8px;
    animation: ta-fade-up 0.7s var(--ease) 0.2s both;
  }

  /* SScard with double borders and inset highlights */
  .ta .hsc {
    position: relative;
    border-radius: var(--r20);
    overflow: hidden;
    box-shadow: 0 30px 70px rgba(0, 0, 0, 0.65);
    transition: transform 0.4s var(--spring), box-shadow 0.4s var(--ease);
  }

  .ta .hsc::before {
    content: '';
    position: absolute;
    inset: 0;
    padding: 1.5px;
    background: linear-gradient(135deg, rgba(167, 13, 42, 0.6), rgba(255, 255, 255, 0.05), rgba(153, 0, 0, 0.5));
    border-radius: var(--r20);
    -webkit-mask: linear-gradient(#fff 0 0) content-box, linear-gradient(#fff 0 0);
    mask: linear-gradient(#fff 0 0) content-box, linear-gradient(#fff 0 0);
    -webkit-mask-composite: xor;
    mask-composite: exclude;
    pointer-events: none;
    z-index: 2;
  }

  .ta .hsc:hover {
    transform: translateY(-6px) scale(1.01);
    box-shadow: 0 35px 80px rgba(167, 13, 42, 0.15), 0 30px 70px rgba(0, 0, 0, 0.7);
  }

  .ta .hsc-inner {
    background: rgba(6, 3, 12, 0.88);
    backdrop-filter: blur(40px) saturate(180%);
    -webkit-backdrop-filter: blur(40px) saturate(180%);
    border-radius: calc(var(--r20) - 1px);
    position: relative;
    z-index: 1;
  }

  .ta .hsch {
    padding: 24px 28px 18px;
    border-bottom: 1px solid var(--bd);
    display: flex;
    align-items: center;
    justify-content: space-between;
  }

  .ta .hscl {
    font-size: 11px;
    font-weight: 850;
    text-transform: uppercase;
    letter-spacing: 0.15em;
    color: var(--red-l);
  }

  .ta .hscv {
    font-size: 11.5px;
    color: var(--dx3);
    font-weight: 650;
  }

  .ta .hscg {
    display: grid;
    grid-template-columns: 1fr 1fr;
  }

  .ta .hsci {
    padding: 24px 28px;
    border-right: 1px solid var(--bd);
    border-bottom: 1px solid var(--bd);
    transition: background 0.3s var(--ease);
  }

  .ta .hsci:hover {
    background: rgba(167, 13, 42, 0.03);
  }

  .ta .hsci:nth-child(2n) {
    border-right: none;
  }

  .ta .hsci:nth-child(3),
  .ta .hsci:nth-child(4) {
    border-bottom: none;
  }

  .ta .hscn {
    font-size: 34px;
    font-weight: 800;
    color: #ffffff !important;
    -webkit-text-fill-color: #ffffff !important;
    line-height: 1.1;
    letter-spacing: -0.04em;
    text-shadow: 0 4px 12px rgba(167, 13, 42, 0.4);
  }

  .ta .hscll {
    font-size: 11px;
    font-weight: 600;
    text-transform: uppercase;
    letter-spacing: 0.07em;
    color: var(--dx3);
    margin-top: 6px;
  }

  .ta .hscav {
    padding: 16px 28px;
    display: flex;
    align-items: center;
    gap: 12px;
    border-top: 1px solid var(--bd);
    font-size: 13.5px;
    font-weight: 600;
    color: var(--green);
    background: rgba(0, 230, 118, 0.05);
  }

  /* Clone card slider grid */
  .ta .hshow {
    margin-top: 18px;
    display: grid;
    grid-template-columns: 1fr 1fr;
    gap: 12px;
  }

  .ta .hsc-card {
    display: block;
    text-decoration: none !important;
    background: rgba(255, 255, 255, 0.02);
    border: 1px solid var(--bd);
    border-radius: var(--r14);
    padding: 16px 20px;
    transition: all 0.35s var(--ease);
    position: relative;
    overflow: hidden;
    backdrop-filter: blur(8px);
    -webkit-backdrop-filter: blur(8px);
  }

  .ta .hsc-card::before {
    content: '';
    position: absolute;
    left: 0;
    top: 0;
    bottom: 0;
    width: 4px;
    background: var(--rg);
    opacity: 0;
    transition: opacity 0.25s, transform 0.25s;
  }

  .ta .hsc-card:hover {
    border-color: rgba(167, 13, 42, 0.4);
    background: rgba(255, 255, 255, 0.05);
    transform: translateX(6px);
    box-shadow: 0 12px 30px rgba(167, 13, 42, 0.08), 0 8px 24px rgba(0, 0, 0, 0.35);
  }

  .ta .hsc-card:hover::before {
    opacity: 1;
  }

  .ta .hsc-cat {
    font-size: 9.5px;
    font-weight: 900;
    text-transform: uppercase;
    letter-spacing: 0.12em;
    color: #ffffff !important;
    margin-bottom: 5px;
  }

  .ta .hsc-name {
    font-size: 14px;
    font-weight: 800;
    color: var(--dx1);
    line-height: 1.35;
    letter-spacing: -0.01em;
  }

  .ta .hsc-meta {
    font-size: 11px;
    color: rgba(255, 255, 255, 0.8) !important;
    margin-top: 4px;
    font-weight: 600;
  }

  /* Interactive LLM Pipeline Status Console */
  .ta .hstatus-console {
    background: rgba(255, 255, 255, 0.02);
    border: 1px solid var(--bd);
    border-radius: var(--r14);
    margin-top: 14px;
    padding: 18px 22px;
    backdrop-filter: blur(8px);
    -webkit-backdrop-filter: blur(8px);
    transition: all 0.35s var(--ease);
  }

  .ta .hstatus-console:hover {
    border-color: rgba(167, 13, 42, 0.3);
    background: rgba(255, 255, 255, 0.04);
    transform: translateY(-3px);
    box-shadow: 0 16px 36px rgba(0, 0, 0, 0.4);
  }

  .ta .hstatus-header {
    display: flex;
    align-items: center;
    gap: 8px;
    font-size: 11px;
    text-transform: uppercase;
    letter-spacing: 0.1em;
    color: var(--dx3);
    margin-bottom: 14px;
    font-weight: 800;
  }

  .ta .hstatus-dot {
    width: 7px;
    height: 7px;
    background: var(--green);
    border-radius: 50%;
    box-shadow: 0 0 8px var(--green);
    animation: ta-dotglow 2s ease-in-out infinite;
  }

  .ta .hstatus-tag {
    margin-left: auto;
    color: var(--red-l);
    font-weight: 850;
    font-size: 10px;
    border: 1px solid rgba(167, 13, 42, 0.2);
    padding: 2px 8px;
    border-radius: 4px;
    background: rgba(167, 13, 42, 0.05);
  }

  .ta .hstatus-grid {
    display: grid;
    grid-template-columns: 1fr 1fr;
    gap: 10px;
  }

  .ta .hstatus-item {
    background: rgba(255, 255, 255, 0.01);
    border: 1px solid rgba(255, 255, 255, 0.03);
    padding: 10px 14px;
    border-radius: var(--r10);
    transition: border-color 0.25s;
  }

  .ta .hstatus-item:hover {
    border-color: rgba(255, 255, 255, 0.08);
  }

  .ta .hstatus-lbl {
    display: block;
    font-size: 9px;
    font-weight: 850;
    color: var(--dx4);
    letter-spacing: 0.08em;
    margin-bottom: 2px;
  }

  .ta .hstatus-val {
    display: block;
    font-size: 12.5px;
    font-weight: 750;
    color: var(--dx1);
  }

  /* ══ S01 STRIP REDESIGN ══ */
  .ta .hstrip {
    background: var(--l0);
    border-top: none;
    padding: 34px 0;
    position: relative;
    z-index: 1;
    box-shadow: 0 -1px 0 rgba(167, 13, 42, 0.08), 0 12px 40px rgba(12, 7, 22, 0.06);
  }

  .ta .hsr {
    display: flex;
    align-items: center;
    justify-content: space-between;
    flex-wrap: nowrap;
    gap: 16px;
  }

  .ta .hsi {
    flex-shrink: 0;
  }

  .ta .hsi strong {
    display: block;
    font-size: 20px;
    font-weight: 800;
    color: var(--red-d);
    line-height: 1.1;
    letter-spacing: -0.03em;
    background: linear-gradient(135deg, var(--red-d) 0%, var(--red) 100%);
    -webkit-background-clip: text;
    -webkit-text-fill-color: transparent;
    background-clip: text;
  }

  .ta .hsi span {
    display: block;
    font-size: 10.2px;
    font-weight: 700;
    color: var(--lx3);
    text-transform: uppercase;
    letter-spacing: 0.08em;
    margin-top: 4px;
  }

  .ta .hsep {
    width: 1px;
    height: 36px;
    background: var(--bl2);
    flex-shrink: 0;
  }

  /* ══ S02 TRUST BAR REDESIGN ══ */
  .ta .tbar {
    padding: 48px 0;
    border-bottom: 1px solid var(--bd);
    position: relative;
    z-index: 1;
  }

  .ta .tbrow {
    display: grid;
    grid-template-columns: repeat(3, 1fr);
    gap: 32px 48px;
    justify-items: center;
  }

  .ta .titem {
    display: flex;
    align-items: center;
    gap: 14px;
  }

  .ta .titem h4 {
    font-size: 14.5px;
    font-weight: 800;
    color: var(--dx1);
    letter-spacing: -0.01em;
  }

  .ta .titem p {
    font-size: 12.5px;
    color: var(--dx2);
    margin-top: 4px;
    font-weight: 500;
  }

  .ta .tsep {
    display: none !important;
  }

  /* ══ S03 OUR APPROACH REDESIGN ══ */
  .ta .approach-right {
    display: flex;
    flex-direction: column;
    gap: 24px;
  }

  .ta .approach-cards {
    display: grid;
    grid-template-columns: 1fr 1fr 1fr;
    gap: 16px;
    margin-top: 4px;
  }

  .ta .ac {
    border: 1px solid transparent;
    border-radius: var(--r14);
    padding: 22px 16px;
    background-image: linear-gradient(var(--l0), var(--l0)), linear-gradient(135deg, rgba(12, 7, 22, 0.06), rgba(167, 13, 42, 0.15));
    background-origin: border-box;
    background-clip: padding-box, border-box;
    transition: all 0.35s var(--spring);
    text-align: center;
    box-shadow: 0 4px 16px rgba(12, 7, 22, 0.02);
  }

  .ta .ac:hover {
    transform: translateY(-5px);
    box-shadow: 0 16px 36px rgba(167, 13, 42, 0.1);
    background-image: linear-gradient(var(--l0), var(--l0)), linear-gradient(135deg, rgba(167, 13, 42, 0.4), rgba(167, 13, 42, 0.08));
  }

  .ta .ac-icon {
    width: 42px;
    height: 42px;
    border-radius: var(--r10);
    background: var(--ra);
    border: 1px solid var(--rb);
    display: flex;
    align-items: center;
    justify-content: center;
    margin: 0 auto 12px;
    transition: transform 0.3s var(--spring);
  }

  .ta .ac:hover .ac-icon {
    transform: scale(1.1) rotate(3deg);
    background: rgba(167, 13, 42, 0.1);
  }

  .ta .ac-icon svg {
    width: 20px;
    height: 20px;
    color: var(--red);
  }

  .ta .ac-title {
    font-size: 14px;
    font-weight: 800;
    color: var(--lx1);
    margin-bottom: 6px;
    letter-spacing: -0.01em;
  }

  .ta .ac-desc {
    font-size: 11.5px;
    color: var(--lx3);
    line-height: 1.5;
    font-weight: 500;
  }

  /* Symmetrical stat card elements */
  .ta .sgrid {
    display: grid;
    grid-template-columns: 1fr 1fr;
    gap: 20px;
  }

  .ta .scard {
    border: 1px solid transparent;
    border-radius: var(--r14);
    padding: 28px 24px;
    transition: all 0.35s var(--spring);
    position: relative;
    overflow: hidden;
    background-image: linear-gradient(var(--l0), var(--l0)), linear-gradient(135deg, rgba(12, 7, 22, 0.04), rgba(167, 13, 42, 0.08));
    background-origin: border-box;
    background-clip: padding-box, border-box;
    box-shadow: 0 4px 16px rgba(0, 0, 0, 0.02);
  }

  .ta .scard::before {
    content: '';
    position: absolute;
    inset: 0;
    background: linear-gradient(135deg, rgba(167, 13, 42, 0.04), transparent);
    opacity: 0;
    transition: opacity 0.3s;
  }

  .ta .scard:hover {
    transform: translateY(-6px);
    box-shadow: 0 20px 45px rgba(167, 13, 42, 0.08), 0 8px 24px rgba(12, 7, 22, 0.04);
    background-image: linear-gradient(var(--l0), var(--l0)), linear-gradient(135deg, rgba(167, 13, 42, 0.35), rgba(167, 13, 42, 0.05));
  }

  .ta .scard:hover::before {
    opacity: 1;
  }

  .ta .sn {
    font-size: 38px;
    font-weight: 800;
    line-height: 1.1;
    margin-bottom: 6px;
    letter-spacing: -0.04em;
    background: var(--rg);
    -webkit-background-clip: text;
    -webkit-text-fill-color: transparent;
    background-clip: text;
  }

  .ta .sl {
    font-size: 13px;
    font-weight: 600;
    line-height: 1.5;
    color: var(--lx3);
  }

  .ta .anote {
    background: rgba(167, 13, 42, 0.02);
    border: 1px solid rgba(167, 13, 42, 0.12);
    border-left: 5px solid var(--red);
    border-radius: 0 var(--r14) var(--r14) 0;
    padding: 20px 24px;
    margin-top: 30px;
    box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.7);
  }

  .ta .anh {
    font-size: 11px;
    font-weight: 850;
    color: var(--red);
    text-transform: uppercase;
    letter-spacing: 0.12em;
    margin-bottom: 8px;
  }

  .ta .mrow {
    display: flex;
    align-items: center;
    gap: 12px;
    padding: 18px 0;
    border-top: 1px solid var(--bl2);
    margin-top: 30px;
    font-size: 13.5px;
    color: var(--lx3);
    font-weight: 650;
  }

  .ta .mrow svg {
    width: 16px;
    height: 16px;
    color: var(--red);
    flex-shrink: 0;
  }

  .ta .mrow a {
    color: var(--red-d);
    font-weight: 700;
    transition: color 0.2s;
  }

  .ta .mrow a:hover {
    color: var(--red);
  }

  .ta .tech-adv {
    background: linear-gradient(135deg, rgba(167, 13, 42, 0.04) 0%, rgba(167, 13, 42, 0.01) 100%);
    border: 1px solid rgba(167, 13, 42, 0.12);
    border-radius: var(--r14);
    padding: 26px 28px;
    margin-top: 4px;
    box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.7);
  }

  .ta .tech-adv h4 {
    font-size: 14px;
    font-weight: 850;
    color: var(--lx1);
    margin-bottom: 16px;
    text-transform: uppercase;
    letter-spacing: 0.08em;
  }

  .ta .fadv-row {
    display: flex;
    align-items: center;
    justify-content: space-between;
    padding: 10px 0;
    border-bottom: 1px solid var(--bl2);
  }

  .ta .fadv-row:last-child {
    border-bottom: none;
    padding-bottom: 0;
  }

  .ta .fadv-label {
    font-size: 13.5px;
    color: var(--lx2);
    font-weight: 550;
  }

  .ta .fadv-val {
    font-size: 13.5px;
    font-weight: 800;
    color: var(--red);
  }

  /* ══ S04 CLONE SOLUTIONS REDESIGN ══ */
  .ta .scrd {
    display: block;
    text-decoration: none !important;
    background: var(--l0);
    border: 1px solid var(--bl2);
    border-radius: var(--r20);
    overflow: hidden;
    transition: all 0.4s var(--spring);
    box-shadow: 0 4px 16px rgba(12, 7, 22, 0.02);
  }

  .ta .scrd:hover {
    transform: translateY(-8px);
    border-color: rgba(167, 13, 42, 0.35);
    box-shadow: 0 24px 50px rgba(167, 13, 42, 0.1), 0 8px 24px rgba(12, 7, 22, 0.06);
  }

  .ta .sv {
    height: 130px;
    position: relative;
    overflow: hidden;
    border-bottom: 1px solid var(--bl2);
    display: flex;
    align-items: center;
    justify-content: center;
  }

  .ta .sv1 {
    background: linear-gradient(135deg, rgba(167, 13, 42, 0.12), rgba(153, 0, 0, 0.03));
  }

  .ta .sv2 {
    background: linear-gradient(135deg, rgba(0, 243, 255, 0.12), rgba(0, 243, 255, 0.03));
  }

  .ta .sv3 {
    background: linear-gradient(135deg, rgba(153, 0, 0, 0.12), rgba(153, 0, 0, 0.03));
  }

  .ta .sv4 {
    background: linear-gradient(135deg, rgba(0, 230, 118, 0.12), rgba(0, 230, 118, 0.03));
  }

  .ta .sv5 {
    background: linear-gradient(135deg, rgba(157, 0, 255, 0.12), rgba(157, 0, 255, 0.03));
  }

  .ta .sv6 {
    background: linear-gradient(135deg, rgba(167, 13, 42, 0.06), rgba(153, 0, 0, 0.06));
  }

  .ta .spill {
    position: absolute;
    top: 16px;
    right: 16px;
    background: rgba(12, 7, 23, 0.76);
    backdrop-filter: blur(8px);
    border: 1px solid rgba(255, 255, 255, 0.15);
    border-radius: var(--r100);
    padding: 5px 14px;
    font-size: 10px;
    font-weight: 850;
    color: #fff;
    text-transform: uppercase;
    letter-spacing: 0.1em;
  }

  .ta .snum {
    font-size: 60px;
    font-weight: 900;
    letter-spacing: -0.04em;
    line-height: 1;
    opacity: 0.07;
    position: absolute;
    bottom: -12px;
    right: 18px;
    color: var(--lx1);
  }

  .ta .siwrap {
    width: 56px;
    height: 56px;
    border-radius: var(--r14);
    display: flex;
    align-items: center;
    justify-content: center;
    background: rgba(255, 255, 255, 0.75);
    backdrop-filter: blur(10px);
    -webkit-backdrop-filter: blur(10px);
    border: 1px solid rgba(255, 255, 255, 0.65);
    box-shadow: 0 6px 20px rgba(12, 7, 22, 0.06);
    transition: transform 0.35s var(--spring);
  }

  .ta .scrd:hover .siwrap {
    transform: scale(1.1) rotate(4deg);
  }

  .ta .siwrap svg {
    width: 26px;
    height: 26px;
  }

  .ta .sb {
    padding: 26px;
  }

  .ta .scat {
    font-size: 10px;
    font-weight: 850;
    text-transform: uppercase;
    letter-spacing: 0.12em;
    color: var(--red);
    margin-bottom: 12px;
  }

  .ta .scrd h3 {
    font-size: 19px;
    font-weight: 800;
    line-height: 1.3;
    color: var(--lx1);
    letter-spacing: -0.02em;
  }

  .ta .scrd p {
    font-size: 13.5px;
    line-height: 1.68;
    color: var(--lx2);
    margin-top: 10px;
  }

  .ta .schips {
    display: flex;
    gap: 8px;
    margin-top: 16px;
    flex-wrap: wrap;
  }

  .ta .schip {
    font-size: 11px;
    font-weight: 700;
    padding: 5px 12px;
    border-radius: var(--r6);
    background: rgba(167, 13, 42, 0.05);
    color: var(--red);
    border: 1px solid rgba(167, 13, 42, 0.12);
  }

  .ta .hnote {
    margin-top: 26px;
    padding: 18px 24px;
    font-size: 13.8px;
    color: var(--lx2);
    background: rgba(167, 13, 42, 0.03);
    border: 1px solid rgba(167, 13, 42, 0.12);
    border-left: 5px solid var(--red);
    border-radius: 0 var(--r14) var(--r14) 0;
    box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.7);
  }

  /* ══ S05 COMPARISON REDESIGN ══ */
  .ta .ctw {
    overflow-x: auto;
    border-radius: var(--r20);
    border: 1px solid var(--bd);
    margin-top: 40px;
    box-shadow: 0 30px 70px rgba(0, 0, 0, 0.5);
  }

  .ta .ct {
    width: 100%;
    border-collapse: collapse;
    font-size: 13.8px;
  }

  .ta .ct th,
  .ta .ct td {
    padding: 20px 22px;
    text-align: left;
    border: 1px solid;
    vertical-align: middle;
  }

  .ta .ct th {
    font-weight: 850;
    font-size: 11.5px;
    text-transform: uppercase;
    letter-spacing: 0.1em;
    line-height: 1.4;
  }

  .ta .sD .ct th {
    background: rgba(255, 255, 255, 0.03);
    color: var(--dx2);
    border-color: var(--bd);
  }

  .ta .sD .ct td {
    border-color: var(--bd);
    color: var(--dx2);
  }

  .ta .ct .ch {
    border-left: 2px solid rgba(167, 13, 42, 0.4) !important;
    border-right: 2px solid rgba(167, 13, 42, 0.4) !important;
    background: rgba(167, 13, 42, 0.05) !important;
  }

  .ta .ct tr:first-child .ch {
    border-top: 3px solid var(--red) !important;
  }

  .ta .ct tr:last-child .ch {
    border-bottom: 3px solid var(--red) !important;
  }

  .ta .ct .yes {
    color: var(--green) !important;
    font-weight: 800;
    text-shadow: 0 0 10px rgba(0, 230, 118, 0.2);
  }

  .ta .ct .no {
    opacity: 0.5;
  }

  .ta .ct .win {
    color: var(--red-l) !important;
    font-weight: 850;
    text-shadow: 0 0 10px rgba(167, 13, 42, 0.2);
  }

  .ta .dbx {
    padding: 24px 26px;
    border-radius: var(--r14);
    border: 1px solid;
  }

  .ta .sD .dbx {
    background: rgba(255, 255, 255, 0.02);
    border-color: var(--bd);
  }

  .ta .dlbl {
    font-size: 11.5px;
    font-weight: 850;
    text-transform: uppercase;
    letter-spacing: 0.12em;
    margin-bottom: 12px;
  }

  /* ══ S06 ARCHITECTURE REDESIGN ══ */
  .ta .ait {
    padding: 24px 0;
    border-bottom: 1px solid var(--bl2);
  }

  .ta .ait:last-child {
    border-bottom: none;
  }

  .ta .ait h3 {
    font-size: 17px;
    font-weight: 800;
    color: var(--lx1);
    margin-bottom: 18px;
    letter-spacing: -0.02em;
  }
  .ta .ait p.body {
    margin-bottom: 14px;
  }

  .ta .wcall {
    background: rgba(167, 13, 42, 0.02);
    border: 1px solid rgba(167, 13, 42, 0.12);
    border-left: 5px solid var(--red);
    border-radius: 0 var(--r14) var(--r14) 0;
    padding: 20px;
    margin-top: 4px;
    box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.7);
  }

  .ta .wch {
    font-size: 11.5px;
    font-weight: 850;
    color: var(--red);
    text-transform: uppercase;
    letter-spacing: 0.12em;
    margin-bottom: 8px;
  }

  /* High fidelity macOS Window structure */
  .ta .cw2 {
    background: var(--dk0);
    border: 1px solid var(--bd2);
    border-radius: var(--r20);
    overflow: hidden;
    box-shadow: 0 35px 80px rgba(0, 0, 0, 0.7);
    position: relative;
    transition: transform 0.4s var(--spring);
  }

  .ta .cw2:hover {
    transform: translateY(-4px);
    box-shadow: 0 40px 90px rgba(157, 0, 255, 0.12), 0 30px 75px rgba(0, 0, 0, 0.75);
  }

  .ta .cw2::before {
    content: '';
    position: absolute;
    inset: 0;
    padding: 1px;
    background: linear-gradient(135deg, rgba(255, 255, 255, 0.12), transparent, rgba(255, 255, 255, 0.02));
    border-radius: var(--r20);
    -webkit-mask: linear-gradient(#fff 0 0) content-box, linear-gradient(#fff 0 0);
    mask: linear-gradient(#fff 0 0) content-box, linear-gradient(#fff 0 0);
    -webkit-mask-composite: xor;
    mask-composite: exclude;
    pointer-events: none;
  }

  .ta .chdr {
    padding: 16px 22px;
    border-bottom: 1px solid var(--bd);
    display: flex;
    align-items: center;
    gap: 8px;
    background: rgba(255, 255, 255, 0.03);
  }

  .ta .cd {
    width: 12px;
    height: 12px;
    border-radius: 50%;
  }

  .ta .cdr {
    background: #ff5f56;
  }

  .ta .cdy {
    background: #ffbd2e;
  }

  .ta .cdg {
    background: #27c93f;
  }

  .ta .ctit {
    font-size: 11.5px;
    font-weight: 600;
    color: var(--dx3);
    margin-left: 10px;
    font-family: var(--fm);
    letter-spacing: 0.04em;
  }

  .ta .cbody {
    padding: 24px 28px;
    font-family: var(--fm);
    font-size: 12.8px;
    line-height: 1.9;
    white-space: pre;
    overflow-x: auto;
    color: rgba(255, 255, 255, 0.95);
    background: #050308;
  }

  .ta .ckw {
    color: #c678dd;
    font-weight: 700;
  }

  .ta .cty {
    color: #e5c07b;
  }

  .ta .cst {
    color: #98c379;
  }

  .ta .ccm {
    color: #5c6370;
    font-style: italic;
  }

  .ta .cnot {
    padding: 18px 24px;
    background: var(--l1);
    border-top: 1px solid var(--bl2);
    font-size: 13.8px;
    color: var(--lx2);
    line-height: 1.7;
    border-radius: 0 0 var(--r20) var(--r20);
    font-weight: 500;
  }

  /* ══ S07 SERVICE MODELS REDESIGN ══ */
  .ta .vcrd {
    background: var(--l0);
    border: 1px solid var(--bl2);
    border-radius: var(--r20);
    overflow: hidden;
    transition: all 0.4s var(--spring);
    position: relative;
    box-shadow: 0 4px 16px rgba(12, 7, 22, 0.02);
  }

  .ta .vcrd:hover {
    transform: translateY(-8px);
    box-shadow: 0 24px 50px rgba(167, 13, 42, 0.08), 0 8px 24px rgba(12, 7, 22, 0.06);
    border-color: rgba(167, 13, 42, 0.3);
  }

  .ta .vbadge {
    position: absolute;
    top: -1px;
    left: 24px;
    background: var(--red);
    color: #fff;
    font-size: 10px;
    font-weight: 850;
    text-transform: uppercase;
    letter-spacing: 0.12em;
    padding: 5px 16px;
    border-radius: 0 0 8px 8px;
    z-index: 5;
    box-shadow: 0 2px 10px rgba(167, 13, 42, 0.25);
  }

  .ta .vvis {
    height: 180px;
    position: relative;
    overflow: hidden;
    border-bottom: 1px solid var(--bl2);
    display: flex;
    align-items: center;
    justify-content: center;
  }

  /* Phone Mockups redesign */
  .ta .vvis-phones {
    position: absolute;
    inset: 0;
    display: flex;
    align-items: center;
    justify-content: center;
    background: linear-gradient(180deg, rgba(167, 13, 42, 0.08), rgba(153, 0, 0, 0.02));
  }

  .ta .phone-mock {
    position: absolute;
    width: 68px;
    height: 110px;
    border-radius: 14px;
    border: 2.2px solid;
    display: flex;
    flex-direction: column;
    overflow: hidden;
    box-shadow: 0 12px 28px rgba(0, 0, 0, 0.45);
  }

  .ta .phone-mock .pm-bar {
    height: 12px;
    flex-shrink: 0;
    border-bottom: 0.5px solid rgba(255, 255, 255, 0.05);
  }

  .ta .phone-mock .pm-body {
    flex: 1;
    display: flex;
    flex-direction: column;
    gap: 4px;
    padding: 8px 6px;
  }

  .ta .phone-mock .pm-line {
    height: 3px;
    border-radius: 2px;
    width: 85%;
  }

  .ta .phone-mock .pm-line:nth-child(2) {
    width: 55%;
  }

  .ta .phone-mock .pm-line:nth-child(3) {
    width: 75%;
  }

  .ta .phone-mock .pm-btn {
    margin-top: auto;
    height: 11px;
    border-radius: 4px;
  }

  .ta .phone-customer {
    transform: rotate(-8deg) translate(-40px, 8px);
    z-index: 1;
    opacity: 0.7;
    border-color: rgba(255, 255, 255, 0.16);
    background: rgba(8, 4, 12, 0.94);
  }

  .ta .phone-customer .pm-bar {
    background: rgba(167, 13, 42, 0.35);
  }

  .ta .phone-customer .pm-line {
    background: rgba(255, 255, 255, 0.12);
  }

  .ta .phone-customer .pm-btn {
    background: rgba(167, 13, 42, 0.3);
  }

  .ta .phone-driver {
    z-index: 3;
    border-color: rgba(167, 13, 42, 0.6);
    background: linear-gradient(160deg, rgba(167, 13, 42, 0.15), rgba(8, 3, 12, 0.94));
    box-shadow: 0 16px 36px rgba(167, 13, 42, 0.25);
    animation: ta-float 4.5s ease-in-out infinite;
  }

  .ta .phone-driver .pm-bar {
    background: rgba(167, 13, 42, 0.65);
  }

  .ta .phone-driver .pm-line {
    background: rgba(255, 255, 255, 0.25);
  }

  .ta .phone-driver .pm-btn {
    background: var(--rg);
  }

  .ta .phone-admin {
    transform: rotate(8deg) translate(40px, -4px);
    z-index: 2;
    opacity: 0.8;
    border-color: rgba(255, 255, 255, 0.2);
    background: rgba(12, 6, 20, 0.94);
    animation: ta-float2 4.5s ease-in-out infinite;
  }

  .ta .phone-admin .pm-bar {
    background: rgba(255, 255, 255, 0.16);
  }

  .ta .phone-admin .pm-line {
    background: rgba(255, 255, 255, 0.12);
  }

  .ta .phone-admin .pm-btn {
    background: rgba(255, 255, 255, 0.16);
  }

  .ta .phone-lbl {
    position: absolute;
    bottom: 8px;
    font-size: 7.5px;
    font-weight: 800;
    text-transform: uppercase;
    letter-spacing: 0.08em;
    color: rgba(255, 255, 255, 0.4);
    text-align: center;
    width: 100%;
  }

  .ta .phone-lbl.driver {
    color: var(--red-l);
    z-index: 4;
    bottom: 4px;
    left: 50%;
    transform: translateX(-50%);
    width: 70px;
    font-weight: 900;
  }

  /* Widget Tree Layout */
  .ta .vvis-tree {
    position: absolute;
    inset: 0;
    display: flex;
    align-items: center;
    justify-content: center;
    background: linear-gradient(180deg, rgba(0, 243, 255, 0.08), rgba(0, 243, 255, 0.02));
  }

  .ta .tree-svg {
    width: 100%;
    height: 100%;
    max-width: 220px;
    max-height: 130px;
  }

  .ta .tree-node {
    fill: rgba(8, 3, 15, 0.92);
    stroke: rgba(0, 243, 255, 0.5);
    stroke-width: 1.2;
    rx: 5;
  }

  .ta .tree-node-root {
    fill: rgba(167, 13, 42, 0.16);
    stroke: rgba(167, 13, 42, 0.65);
    stroke-width: 1.5;
  }

  .ta .tree-line {
    stroke: rgba(0, 243, 255, 0.25);
    stroke-width: 1;
    stroke-dasharray: 4 3;
  }

  .ta .tree-line-root {
    stroke: rgba(167, 13, 42, 0.4);
    stroke-width: 1.2;
    stroke-dasharray: none;
    animation: ta-draw 3s ease-in-out infinite alternate;
  }

  .ta .tree-text {
    fill: rgba(255, 255, 255, 0.75);
    font-size: 6.5px;
    font-family: var(--fm);
    font-weight: 600;
  }

  .ta .tree-text-root {
    fill: var(--red-l);
  }

  /* Sprint Timeline */
  .ta .vvis-sprint {
    position: absolute;
    inset: 0;
    display: flex;
    align-items: center;
    justify-content: center;
    padding: 0 24px;
    background: linear-gradient(180deg, rgba(157, 0, 255, 0.08), rgba(157, 0, 255, 0.02));
  }

  .ta .sprint-track {
    width: 100%;
    display: flex;
    flex-direction: column;
    gap: 10px;
  }

  .ta .sprint-row {
    display: flex;
    align-items: center;
    gap: 10px;
  }

  .ta .sprint-label {
    font-size: 8px;
    font-weight: 850;
    color: rgba(255, 255, 255, 0.4);
    text-transform: uppercase;
    letter-spacing: 0.08em;
    width: 30px;
    flex-shrink: 0;
    text-align: right;
  }

  .ta .sprint-bar-wrap {
    flex: 1;
    height: 10px;
    background: rgba(255, 255, 255, 0.06);
    border-radius: 6px;
    overflow: hidden;
    position: relative;
    border: 0.5px solid rgba(255, 255, 255, 0.02);
  }

  .ta .sprint-fill {
    height: 100%;
    border-radius: 6px;
    position: relative;
  }

  .ta .sprint-fill.done {
    background: linear-gradient(90deg, var(--red), rgba(167, 13, 42, 0.5));
  }

  .ta .sprint-fill.active {
    background: linear-gradient(90deg, rgba(157, 0, 255, 0.8), rgba(157, 0, 255, 0.45));
    width: 75%;
    position: relative;
  }

  .ta .sprint-fill.active::after {
    content: '';
    position: absolute;
    inset: 0;
    background: linear-gradient(90deg, transparent, rgba(255, 255, 255, 0.3), transparent);
    transform: translateX(-100%);
    animation: ta-shimmer 1.8s infinite;
  }

  .ta .sprint-fill.next {
    background: rgba(255, 255, 255, 0.06);
  }

  .ta .sprint-dot {
    width: 9px;
    height: 9px;
    border-radius: 50%;
    flex-shrink: 0;
  }

  .ta .sprint-dot.done {
    background: var(--green);
  }

  .ta .sprint-dot.active {
    background: var(--red-l);
    animation: ta-dotglow 1.5s ease-in-out infinite;
  }

  .ta .sprint-dot.next {
    background: rgba(255, 255, 255, 0.2);
  }

  .ta .vbody {
    padding: 28px 30px;
  }

  .ta .vtag {
    font-size: 10.5px;
    font-weight: 850;
    text-transform: uppercase;
    letter-spacing: 0.12em;
    color: var(--red);
    margin-bottom: 12px;
  }

  .ta .vtit {
    font-size: 20px;
    font-weight: 800;
    line-height: 1.25;
    color: var(--lx1);
    margin-bottom: 12px;
    letter-spacing: -0.02em;
  }

  .ta .vdesc {
    font-size: 13.8px;
    line-height: 1.68;
    color: var(--lx2);
    margin-bottom: 20px;
  }

  /* ══ S08 QUALITY STANDARDS REDESIGN ══ */
  .ta .two-col {
    display: grid;
    grid-template-columns: 1fr 1fr;
  }

  .ta .tc-panel {
    padding: 130px 90px;
    display: flex;
    align-items: flex-start;
  }

  .ta .tc-inner {
    width: 100%;
    max-width: 560px;
  }

  .ta .two-col .tc-panel:first-child .tc-inner {
    margin-left: auto;
    margin-right: 0;
  }

  .ta .two-col .tc-panel:last-child .tc-inner {
    margin-left: 0;
    margin-right: auto;
  }

  .ta .qs-dark {
    background: var(--dk1);
    position: relative;
  }

  .ta .qs-dark::before {
    content: '';
    position: absolute;
    inset: 0;
    background: radial-gradient(circle at 0% 100%, rgba(167, 13, 42, 0.08) 0%, transparent 68%);
    pointer-events: none;
  }

  .ta .qs-red {
    background: var(--red-d);
    position: relative;
    overflow: hidden;
  }

  .ta .qs-red::before {
    content: '';
    position: absolute;
    inset: 0;
    background: radial-gradient(circle at 100% 0%, rgba(167, 13, 42, 0.35) 0%, transparent 68%);
    pointer-events: none;
  }

  .ta .qs-red .tc-inner {
    position: relative;
    z-index: 1;
  }

  .ta .qs-red h2 em {
    color: #ffffff;
  }

  .ta .qs-dark .qrow {
    display: flex;
    justify-content: space-between;
    align-items: center;
    gap: 12px;
    background: rgba(255, 255, 255, 0.02);
    border: 1px solid rgba(255, 255, 255, 0.06);
    border-radius: var(--r10);
    padding: 16px 22px;
    transition: all 0.3s var(--ease);
  }

  .ta .qs-dark .qrow:hover {
    background: rgba(255, 255, 255, 0.05);
    border-color: rgba(167, 13, 42, 0.35);
    transform: translateX(6px);
    box-shadow: 0 10px 24px rgba(0, 0, 0, 0.25);
  }

  .ta .qs-dark .qn {
    font-size: 13.8px;
    font-weight: 650;
    color: var(--dx1);
  }

  .ta .qs-dark .qb {
    font-size: 10px;
    font-weight: 850;
    text-transform: uppercase;
    letter-spacing: 0.1em;
    background: rgba(255, 255, 255, 0.06);
    border-color: var(--bd2);
    color: var(--dx3);
    flex-shrink: 0;
    white-space: nowrap;
  }

  .ta .qs-dark h2 {
    color: var(--dx1);
  }

  .ta .qs-dark h2 em {
    color: var(--red-l);
  }

  .ta .qs-dark .lead {
    color: var(--dx2);
  }

  .ta .qs-dark .eyp {
    background: rgba(8, 4, 12, 0.75);
    border-color: var(--bd2);
  }

  .ta .qs-dark .eyp strong {
    color: #fff;
  }

  .ta .qs-dark .el {
    background: var(--red);
  }

  .ta .qs-red .tc-inner {
    max-width: 760px;
  }

  .ta .qsteps {
    display: grid;
    grid-template-columns: repeat(2, 1fr);
    gap: 20px;
    width: 100%;
  }

  .ta .vstep {
    background: rgba(255, 255, 255, 0.03);
    border: 1px solid rgba(255, 255, 255, 0.08);
    border-radius: var(--r14);
    padding: 24px;
    display: flex;
    flex-direction: column;
    align-items: flex-start;
    gap: 12px;
    transition: transform 0.35s var(--spring), border-color 0.3s, background 0.3s, box-shadow 0.3s;
  }

  .ta .vstep:hover {
    transform: translateY(-4px);
    border-color: rgba(255, 255, 255, 0.22);
    background: rgba(255, 255, 255, 0.07);
    box-shadow: 0 16px 36px rgba(0, 0, 0, 0.3);
  }

  .ta .vstep-nb {
    width: 30px;
    height: 30px;
    border-radius: 50%;
    background: rgba(255, 255, 255, 0.14);
    border: 1px solid rgba(255, 255, 255, 0.1);
    color: #fff;
    display: flex;
    align-items: center;
    justify-content: center;
    font-size: 11.5px;
    font-weight: 850;
    flex-shrink: 0;
  }

  .ta .vstep h4 {
    font-size: 15px;
    font-weight: 800;
    color: #fff;
    margin: 0;
    line-height: 1.35;
    letter-spacing: -0.01em;
  }

  .ta .vstep p {
    font-size: 12.5px;
    line-height: 1.62;
    color: rgba(255, 255, 255, 0.82);
    margin: 0;
  }

  /* ══ S09 TECH STACK REDESIGN ══ */
  .ta #stack {
    background: linear-gradient(135deg, #cccccc 0%, #b2b2b2 100%) !important;
    color: var(--lx2) !important;
  }

  .ta #stack h2 {
    color: var(--lx1) !important;
  }

  .ta #stack .mu {
    color: var(--lx3) !important;
  }

  .ta #stack .eyp {
    background: rgba(255, 255, 255, 0.75) !important;
    border-color: rgba(0, 0, 0, 0.08) !important;
    color: var(--lx2) !important;
    box-shadow: 0 4px 16px rgba(0, 0, 0, 0.03) !important;
  }

  .ta #stack .eyp strong {
    color: var(--red) !important;
  }

  .ta #stack .el {
    background: var(--red) !important;
  }

  .ta .stack16 {
    display: grid;
    grid-template-columns: repeat(4, 1fr);
    gap: 20px;
  }

  .ta .stki {
    background: rgba(255, 255, 255, 0.6) !important;
    border: 1px solid rgba(0, 0, 0, 0.08) !important;
    border-radius: var(--r14);
    padding: 28px 22px;
    text-align: center;
    transition: all 0.35s var(--ease);
    backdrop-filter: blur(20px) !important;
    -webkit-backdrop-filter: blur(20px) !important;
    position: relative;
    box-shadow: 0 8px 30px rgba(0, 0, 0, 0.03) !important;
  }

  .ta .stki::before {
    content: '';
    position: absolute;
    inset: 0;
    padding: 1px;
    background: linear-gradient(135deg, rgba(255, 255, 255, 0.4), transparent, rgba(0, 0, 0, 0.03));
    border-radius: var(--r14);
    -webkit-mask: linear-gradient(#fff 0 0) content-box, linear-gradient(#fff 0 0);
    mask: linear-gradient(#fff 0 0) content-box, linear-gradient(#fff 0 0);
    -webkit-mask-composite: xor;
    mask-composite: exclude;
    pointer-events: none;
  }

  .ta .stki:hover {
    transform: translateY(-6px);
    border-color: var(--red) !important;
    background: rgba(255, 255, 255, 0.9) !important;
    box-shadow: 0 20px 40px rgba(167, 13, 42, 0.12) !important;
  }

  .ta .stlogo {
    width: 50px;
    height: 50px;
    border-radius: var(--r10);
    border: 1px solid rgba(0, 0, 0, 0.1) !important;
    display: flex;
    align-items: center;
    justify-content: center;
    margin: 0 auto 16px;
    font-size: 14px;
    font-weight: 850;
    background: rgba(0, 0, 0, 0.04) !important;
    color: var(--red) !important;
    transition: transform 0.3s var(--spring);
  }

  .ta .stki:hover .stlogo {
    transform: scale(1.1) rotate(4deg);
    background: rgba(0, 0, 0, 0.08) !important;
    border-color: var(--red) !important;
  }

  .ta .stname {
    font-size: 14px;
    font-weight: 800;
    color: var(--lx1) !important;
    margin-bottom: 6px;
    letter-spacing: -0.01em;
  }

  .ta .stdesc {
    font-size: 11px;
    line-height: 1.5;
    color: var(--lx3) !important;
    font-weight: 500;
  }

  /* ══ S10 PROCESS REDESIGN ══ */
  .ta #process {
    background: #000000 !important;
    color: #fff !important;
    position: relative;
    overflow: hidden;
    padding: 120px 0;
  }

  .ta #process h2 {
    color: #fff !important;
  }

  .ta #process h2 em {
    color: var(--red) !important;
    font-style: normal;
  }

  .ta #process p,
  .ta #process .body,
  .ta #process .lead {
    color: rgba(255, 255, 255, 0.82) !important;
  }

  .ta #process .pill .eyp {
    background: rgba(255, 255, 255, 0.08);
    border-color: rgba(255, 255, 255, 0.14);
  }

  .ta #process .pill .eyp strong {
    color: var(--red-l);
  }

  .ta-process-wrapper {
    margin-top: 80px;
    position: relative;
  }

  .ta-process-grid {
    display: grid;
    grid-template-columns: repeat(5, 1fr);
    gap: 20px;
    position: relative;
  }

  .ta-process-step {
    position: relative;
    height: 380px;
    display: flex;
    flex-direction: column;
    justify-content: center;
    align-items: center;
  }

  .ta-process-card {
    width: 200px;
    height: 220px;
    background: rgba(255, 255, 255, 0.02);
    border: 1px solid rgba(255, 255, 255, 0.06);
    border-radius: 18px;
    padding: 24px 18px;
    text-align: center;
    display: flex;
    flex-direction: column;
    align-items: center;
    justify-content: center;
    backdrop-filter: blur(12px);
    -webkit-backdrop-filter: blur(12px);
    box-shadow: 0 15px 35px rgba(0, 0, 0, 0.3);
    transition: all 0.4s var(--ease);
    position: relative;
    z-index: 5;
  }

  .ta-process-card:hover {
    transform: translateY(-8px);
    background: rgba(255, 255, 255, 0.06);
    border-color: rgba(255, 255, 255, 0.18);
    box-shadow: 0 25px 50px rgba(0, 0, 0, 0.45);
  }

  .ta-process-icon-wrap {
    width: 48px;
    height: 48px;
    border-radius: 50%;
    background: rgba(255, 255, 255, 0.08) !important;
    border: 1.5px solid rgba(255, 255, 255, 0.2) !important;
    display: flex;
    align-items: center;
    justify-content: center;
    margin-bottom: 14px;
    transition: all 0.3s var(--ease);
  }

  .ta-process-card:hover .ta-process-icon-wrap {
    transform: scale(1.08);
    background: #fff !important;
    border-color: #fff !important;
  }

  .ta-process-card:hover .ta-process-icon-wrap svg {
    stroke: #000000 !important;
    fill: none;
  }

  .ta-process-icon-wrap svg {
    width: 22px;
    height: 22px;
    stroke: #ffffff !important;
    stroke-width: 2;
    stroke-linecap: round;
    stroke-linejoin: round;
    fill: none;
    transition: all 0.3s var(--ease);
  }

  .ta-process-card h3 {
    font-size: 17.5px !important;
    font-weight: 800 !important;
    color: #ffffff !important;
    margin-bottom: 8px !important;
    letter-spacing: -0.01em !important;
  }

  .ta-process-card p {
    font-size: 12.8px !important;
    line-height: 1.62 !important;
    color: rgba(255, 255, 255, 0.78) !important;
    font-weight: 500 !important;
    margin: 0 !important;
  }

  .ta-step-label {
    position: absolute;
    left: 50%;
    transform: translateX(-50%);
    text-align: center;
    z-index: 10;
    pointer-events: none;
  }

  .ta-step-label.top {
    top: 15px;
  }

  .ta-step-label.bottom {
    bottom: 15px;
  }

  .ta-step-label span {
    display: block;
    font-size: 10px;
    font-weight: 800;
    text-transform: uppercase;
    letter-spacing: 0.12em;
    white-space: nowrap;
  }

  .ta-step-label.top span {
    margin-bottom: 8px;
  }

  .ta-step-label.bottom span {
    margin-top: 8px;
  }

  .ta-step-dot {
    width: 10px;
    height: 10px;
    border-radius: 50%;
    margin: 0 auto;
  }

  .ta-proc-svg {
    position: absolute;
    top: 0;
    left: 0;
    width: 100%;
    height: 100%;
    overflow: visible;
    pointer-events: none;
    z-index: 2;
  }

  .ta .tpills {
    display: flex;
    gap: 16px;
    justify-content: center;
    flex-wrap: wrap;
    margin-top: 56px;
  }

  .ta .tpill {
    padding: 18px 28px;
    border-radius: var(--r14);
    text-align: center;
    background: rgba(255, 255, 255, 0.02);
    border: 1px solid rgba(255, 255, 255, 0.08);
    transition: all 0.35s var(--spring);
    box-shadow: 0 2px 10px rgba(0, 0, 0, 0.01);
  }

  .ta .tpill:hover {
    transform: translateY(-4px);
    box-shadow: 0 16px 36px rgba(0, 0, 0, 0.3);
    border-color: rgba(167, 13, 42, 0.5);
    background: rgba(255, 255, 255, 0.04);
  }

  .ta .tpill strong {
    display: block;
    font-size: 24px;
    font-weight: 800;
    color: #fff;
    letter-spacing: -0.03em;
    line-height: 1.1;
    background: linear-gradient(135deg, #fff 0%, rgba(255, 255, 255, 0.7) 100%);
    -webkit-background-clip: text;
    -webkit-text-fill-color: transparent;
    background-clip: text;
  }

  .ta .tpill span {
    display: block;
    font-size: 11.5px;
    color: rgba(255, 255, 255, 0.6);
    text-transform: uppercase;
    letter-spacing: 0.08em;
    margin-top: 6px;
    font-weight: 700;
  }

  @media (max-width: 991px) {
    .ta-process-grid {
      grid-template-columns: 1fr;
      gap: 40px;
      justify-items: center;
    }

    .ta-process-grid::before {
      content: '';
      position: absolute;
      top: 40px;
      bottom: 40px;
      left: 50%;
      transform: translateX(-50%);
      width: 3px;
      background: linear-gradient(to bottom, #a70d2a, #990000, #a70d2a, #990000, #a70d2a);
      z-index: 1;
    }

    .ta-process-step {
      height: auto;
      width: 100%;
      max-width: 320px;
      flex-direction: column;
      align-items: center;
      padding: 0;
    }

    .ta-process-card {
      width: 100%;
      height: auto;
      min-height: 200px;
      padding: 30px 24px;
    }

    .ta-step-label {
      position: relative !important;
      top: auto !important;
      bottom: auto !important;
      left: auto !important;
      transform: none !important;
      margin-bottom: 12px;
    }

    .ta-step-label.bottom {
      display: flex;
      flex-direction: column-reverse;
      align-items: center;
    }

    .ta-step-label.top {
      display: flex;
      flex-direction: column;
      align-items: center;
    }

    .ta-step-dot {
      margin: 6px auto !important;
      width: 12px;
      height: 12px;
      box-shadow: 0 0 10px currentColor;
    }

    .ta-proc-svg {
      display: none;
    }
  }

  /* ══ S11 PRICING REDESIGN ══ */
  .ta .pcrd {
    background: var(--l0);
    border: 1px solid var(--bl2);
    border-radius: var(--r20);
    padding: 44px 34px;
    position: relative;
    transition: all 0.4s var(--spring);
    overflow: hidden;
    box-shadow: 0 4px 16px rgba(12, 7, 22, 0.02);
  }

  .ta .pcrd::before {
    content: '';
    position: absolute;
    top: 0;
    left: 0;
    right: 0;
    height: 5px;
    background: var(--rg);
    opacity: 0;
    transition: opacity 0.3s var(--ease);
  }

  .ta .pcrd:hover {
    transform: translateY(-8px);
    box-shadow: 0 24px 50px rgba(12, 7, 22, 0.06), 0 10px 24px rgba(167, 13, 42, 0.05);
    border-color: rgba(167, 13, 42, 0.3);
  }

  .ta .pcrd:hover::before {
    opacity: 1;
  }

  .ta .pcrd.hot {
    border-color: var(--red);
    box-shadow: 0 16px 40px rgba(167, 13, 42, 0.08);
    background: var(--l1);
  }

  .ta .pcrd.hot::before {
    opacity: 1;
  }

  .ta .ptag {
    position: absolute;
    top: -1px;
    left: 50%;
    transform: translateX(-50%);
    background: var(--red);
    color: #fff;
    font-size: 10px;
    font-weight: 850;
    text-transform: uppercase;
    letter-spacing: 0.1em;
    padding: 5px 18px;
    border-radius: 0 0 8px 8px;
    white-space: nowrap;
    box-shadow: 0 2px 8px rgba(167, 13, 42, 0.25);
  }

  .ta .pname {
    font-size: 19px;
    font-weight: 800;
    color: var(--lx1);
    margin-bottom: 14px;
    letter-spacing: -0.02em;
  }

  .ta .pamt {
    font-size: 40px;
    font-weight: 850;
    line-height: 1;
    margin-bottom: 10px;
    letter-spacing: -0.04em;
    color: var(--red-d);
    background: linear-gradient(135deg, var(--red-d) 0%, var(--red) 100%);
    -webkit-background-clip: text;
    -webkit-text-fill-color: transparent;
    background-clip: text;
  }

  .ta .pnote {
    font-size: 12.8px;
    color: var(--lx3);
    margin-bottom: 26px;
    font-weight: 600;
  }

  .ta .pcrd ul {
    display: flex;
    flex-direction: column;
    gap: 11px;
    margin-bottom: 32px;
  }

  .ta .pcrd li {
    position: relative;
    padding-left: 26px;
    font-size: 13.8px;
    line-height: 1.6;
    color: var(--lx2);
    font-weight: 550;
  }

  .ta .pcrd li::before {
    content: '✓';
    position: absolute;
    left: 0;
    font-weight: 900;
    color: var(--green);
    font-size: 12px;
    display: inline-flex;
    align-items: center;
    justify-content: center;
    width: 18px;
    height: 18px;
    background: rgba(0, 230, 118, 0.08);
    border-radius: 50%;
    margin-top: 2px;
  }

  /* ══ S12 CASE STUDY REDESIGN ══ */
  .ta .cs-dark {
    background: var(--dk1);
    position: relative;
  }

  .ta .cs-dark::before {
    content: '';
    position: absolute;
    inset: 0;
    background: radial-gradient(circle at 0% 100%, rgba(167, 13, 42, 0.08) 0%, transparent 68%);
    pointer-events: none;
  }

  .ta .cs-dark .tc-inner {
    position: relative;
    z-index: 1;
  }

  .ta .cs-dark h2 {
    color: var(--dx1);
  }

  .ta .cs-dark h2 em {
    color: var(--red-l);
  }

  .ta .cs-dark .body {
    color: var(--dx2);
  }

  .ta .cs-dark .eyp {
    background: rgba(8, 4, 12, 0.75);
    border-color: var(--bd2);
  }

  .ta .cs-dark .eyp strong {
    color: #fff;
  }

  .ta .cs-dark .el {
    background: var(--red);
  }

  .ta .cs-dark .cst {
    color: var(--dx1);
  }

  .ta .cs-dark .csb {
    color: var(--dx2);
  }

  .ta .cs-dark .csr {
    border-color: var(--bd);
  }

  .ta .cs-dark .csn {
    background: var(--ra);
    color: var(--red-l);
    border-color: var(--rb);
  }

  .ta .cs-dark .rbar .rpill {
    background: rgba(255, 255, 255, 0.03);
    border-color: var(--bd);
  }

  .ta .cs-dark .rbar .rpill strong {
    color: var(--red-l);
  }

  .ta .cs-dark .rbar .rpill span {
    color: var(--dx3);
  }

  .ta .cs-dark .btn-g {
    border-color: var(--bd3);
    color: var(--dx1) !important;
  }

  .ta .csr {
    display: flex;
    gap: 20px;
    align-items: flex-start;
    padding: 22px 0;
    border-bottom: 1px solid var(--bd);
  }

  .ta .csr:last-child {
    border-bottom: none;
    padding-bottom: 0;
  }

  .ta .csn {
    width: 40px;
    height: 40px;
    border-radius: var(--r10);
    display: flex;
    align-items: center;
    justify-content: center;
    font-size: 13.5px;
    font-weight: 850;
    flex-shrink: 0;
    background: var(--ra);
    color: var(--red-l);
    border: 1px solid var(--rb);
    transition: transform 0.3s;
  }

  .ta .csr:hover .csn {
    transform: scale(1.08) rotate(3deg);
  }

  .ta .cst {
    font-size: 16px;
    font-weight: 800;
    margin-bottom: 8px;
    color: var(--dx1);
    letter-spacing: -0.01em;
  }

  .ta .csb {
    font-size: 13.8px;
    line-height: 1.7;
    color: var(--dx2);
  }

  .ta .rbar {
    display: flex;
    gap: 14px;
    flex-wrap: wrap;
    margin-top: 26px;
  }

  .ta .rpill {
    padding: 16px 20px;
    border-radius: var(--r10);
    text-align: center;
    background: rgba(255, 255, 255, 0.03);
    border: 1px solid var(--bd);
    transition: all 0.28s var(--ease);
  }

  .ta .rpill:hover {
    border-color: rgba(167, 13, 42, 0.4);
    background: rgba(167, 13, 42, 0.08);
    transform: translateY(-3px);
    box-shadow: 0 8px 20px rgba(167, 13, 42, 0.12);
  }

  .ta .rpill strong {
    display: block;
    font-size: 24px;
    font-weight: 800;
    color: var(--red-l);
    letter-spacing: -0.03em;
    line-height: 1.1;
  }

  .ta .rpill span {
    display: block;
    font-size: 11px;
    color: var(--dx3);
    margin-top: 4px;
    font-weight: 700;
    text-transform: uppercase;
    letter-spacing: 0.08em;
  }

  .ta .cs-dark .btn-g:hover {
    border-color: var(--red);
    background: var(--ra);
  }

  /* Left-right symmetry card boxes */
  .ta .cs-grey .testi {
    background: var(--l0);
    border-color: var(--bl2);
    box-shadow: 0 8px 30px rgba(12, 7, 22, 0.03);
    border-radius: var(--r20);
    padding: 36px;
    border: 1px solid var(--bl2);
  }

  .ta .cs-grey .tlbl {
    color: var(--red);
    font-size: 11px;
    font-weight: 850;
    text-transform: uppercase;
    letter-spacing: 0.14em;
    margin-bottom: 16px;
    display: block;
  }

  .ta .cs-grey .tq {
    color: var(--lx1);
    font-size: 16px;
    font-weight: 550;
    line-height: 1.76;
    font-style: italic;
    letter-spacing: -0.01em;
  }

  .ta .cs-grey .tau {
    border-color: var(--bl2);
    padding-top: 20px;
    margin-top: 20px;
    display: flex;
    align-items: center;
    gap: 14px;
    border-top: 1px solid var(--bl2);
  }

  .ta .cs-grey .tav {
    width: 44px;
    height: 44px;
    border-radius: 50%;
    background: var(--ra);
    border: 1px solid var(--rb);
    display: flex;
    align-items: center;
    justify-content: center;
    font-size: 14px;
    font-weight: 850;
    color: var(--red);
  }

  .ta .cs-grey .tnm {
    color: var(--lx1);
    font-weight: 850;
    font-size: 15px;
  }

  .ta .cs-grey .trl {
    color: var(--lx3);
    font-size: 12.8px;
    margin-top: 2px;
    font-weight: 550;
  }

  .ta .cs-grey .tvfy {
    margin-top: 20px;
    padding: 14px 18px;
    background: var(--l1);
    border-radius: var(--r10);
    font-size: 13.8px;
    font-weight: 700;
    border: 1px solid var(--bl2);
  }

  .ta .cs-grey .proj-brief {
    background: var(--l0);
    border-color: var(--bl2);
    box-shadow: 0 8px 30px rgba(12, 7, 22, 0.03);
    border-radius: var(--r20);
    padding: 26px 30px;
    border: 1px solid var(--bl2);
  }

  .ta .cs-grey .pb-title {
    color: var(--red);
    font-size: 11px;
    font-weight: 850;
    text-transform: uppercase;
    letter-spacing: 0.14em;
    margin-bottom: 16px;
  }

  .ta .cs-grey .pb-row {
    border-color: var(--bl2);
    display: flex;
    align-items: center;
    justify-content: space-between;
    padding: 10px 0;
    border-bottom: 1px solid var(--bl2);
  }

  .ta .cs-grey .pb-row:last-child {
    border-bottom: none;
  }

  .ta .cs-grey .pb-label {
    color: var(--lx3);
    font-weight: 600;
    font-size: 13.5px;
  }

  .ta .cs-grey .pb-val {
    color: var(--lx1);
    font-weight: 700;
    font-size: 13.5px;
  }

  .ta .cs-grey .pm-item {
    background: var(--l0);
    border-color: var(--bl2);
    box-shadow: 0 4px 16px rgba(0, 0, 0, 0.02);
    border-radius: var(--r12);
    padding: 16px;
    border: 1px solid var(--bl2);
  }

  .ta .cs-grey .pm-num {
    color: var(--red-d);
    font-size: 24px;
    font-weight: 850;
    letter-spacing: -0.02em;
    background: linear-gradient(135deg, var(--red-d) 0%, var(--red) 100%);
    -webkit-background-clip: text;
    -webkit-text-fill-color: transparent;
    background-clip: text;
  }

  .ta .cs-grey .pm-lbl {
    color: var(--lx3);
    font-weight: 700;
    font-size: 10.5px;
    margin-top: 4px;
    text-transform: uppercase;
    letter-spacing: 0.08em;
  }

  /* ══ S13 REVIEWS REDESIGN ══ */
  .ta .rev-card {
    background: rgba(255, 255, 255, 0.02);
    border: 1px solid rgba(255, 255, 255, 0.06);
    border-radius: var(--r20);
    padding: 34px;
    transition: all 0.35s var(--ease);
    box-shadow: 0 8px 30px rgba(0, 0, 0, 0.25);
    backdrop-filter: blur(12px);
    -webkit-backdrop-filter: blur(12px);
  }

  .ta .rev-card:hover {
    background: rgba(255, 255, 255, 0.05);
    border-color: rgba(167, 13, 42, 0.35);
    transform: translateY(-8px);
    box-shadow: 0 30px 60px rgba(167, 13, 42, 0.12), 0 10px 30px rgba(0, 0, 0, 0.45);
  }

  .ta .rev-stars {
    color: #ffd700;
    font-size: 16px;
    letter-spacing: 2px;
    margin-bottom: 14px;
    text-shadow: 0 0 10px rgba(255, 215, 0, 0.3);
  }

  .ta .rev-source {
    color: var(--dx3);
    font-size: 11.5px;
    font-weight: 750;
    text-transform: uppercase;
    letter-spacing: 0.1em;
    margin-bottom: 16px;
  }

  .ta .rev-quote {
    color: var(--dx2);
    font-size: 15px;
    line-height: 1.76;
    font-style: italic;
    font-weight: 500;
  }

  .ta .rev-author {
    display: flex;
    align-items: center;
    gap: 16px;
    padding-top: 20px;
    margin-top: 20px;
    border-top: 1px solid rgba(255, 255, 255, 0.06);
  }

  .ta .rev-av {
    width: 42px;
    height: 42px;
    border-radius: 50%;
    background: rgba(255, 255, 255, 0.08);
    border: 1px solid rgba(255, 255, 255, 0.12);
    display: flex;
    align-items: center;
    justify-content: center;
    font-size: 14px;
    font-weight: 850;
    color: #fff;
  }

  .ta .rev-name {
    color: #fff;
    font-weight: 800;
    font-size: 14.5px;
  }

  .ta .rev-role {
    color: var(--dx3);
    font-size: 12.5px;
    margin-top: 2px;
    font-weight: 500;
  }

  .ta .rev-tag {
    font-size: 11px;
    color: var(--red-l);
    font-weight: 750;
    margin-top: 16px;
    text-transform: uppercase;
    letter-spacing: 0.06em;
  }

  .ta .sR .rev-card {
    background: rgba(255, 255, 255, 0.05);
    border-color: rgba(255, 255, 255, 0.1);
  }

  .ta .sR .rev-card:hover {
    background: rgba(255, 255, 255, 0.1);
    border-color: rgba(255, 255, 255, 0.25);
  }

  .ta .sR .rev-stars {
    color: #ffe644;
  }

  .ta .sR .rev-source {
    color: rgba(255, 255, 255, 0.7);
  }

  .ta .sR .rev-quote {
    color: #fff;
  }

  .ta .sR .rev-author {
    border-color: rgba(255, 255, 255, 0.14);
  }

  .ta .sR .rev-av {
    background: rgba(255, 255, 255, 0.15);
    border-color: rgba(255, 255, 255, 0.24);
  }

  .ta .sR .rev-role {
    color: rgba(255, 255, 255, 0.65);
  }

  .ta .sR .rev-tag {
    color: #ffe644;
  }

  .ta .rev-summary {
    display: flex;
    align-items: center;
    gap: 32px;
    flex-wrap: wrap;
    background: var(--l0);
    border: 1px solid var(--bl2);
    border-radius: var(--r14);
    padding: 24px 36px;
    box-shadow: 0 8px 24px rgba(12, 7, 22, 0.02);
  }

  .ta .rev-sum-item {
    display: flex;
    flex-direction: column;
  }

  .ta .rev-sum-item strong {
    font-size: 24px;
    font-weight: 850;
    color: var(--red-d);
    letter-spacing: -0.02em;
    line-height: 1.1;
    background: linear-gradient(135deg, var(--red-d) 0%, var(--red) 100%);
    -webkit-background-clip: text;
    -webkit-text-fill-color: transparent;
    background-clip: text;
  }

  .ta .rev-sum-item span {
    font-size: 11.5px;
    color: var(--lx3);
    text-transform: uppercase;
    letter-spacing: 0.08em;
    margin-top: 5px;
    font-weight: 700;
  }

  .ta .rev-sum-sep {
    width: 1px;
    height: 42px;
    background: var(--bl2);
    flex-shrink: 0;
  }

  /* ══ S14 RELATED SERVICES REDESIGN ══ */
  .ta .rcrd {
    display: flex;
    align-items: center;
    gap: 18px;
    background: var(--l0);
    border: 1px solid var(--bl2);
    border-radius: var(--r14);
    padding: 22px 24px;
    transition: all 0.35s var(--spring);
    text-decoration: none !important;
    box-shadow: 0 4px 16px rgba(12, 7, 22, 0.02);
  }

  .ta .rcrd:hover {
    transform: translateX(6px);
    border-color: rgba(167, 13, 42, 0.35);
    box-shadow: 0 16px 36px rgba(167, 13, 42, 0.08);
  }

  .ta .rict {
    width: 44px;
    height: 44px;
    border-radius: var(--r10);
    display: flex;
    align-items: center;
    justify-content: center;
    background: var(--ra);
    border: 1px solid var(--rb);
    flex-shrink: 0;
    transition: transform 0.3s var(--spring);
  }

  .ta .rcrd:hover .rict {
    transform: scale(1.1) rotate(4deg);
    background: rgba(167, 13, 42, 0.1);
  }

  .ta .rict svg {
    width: 20px;
    height: 20px;
    color: var(--red);
  }

  .ta .rcat {
    font-size: 10px;
    font-weight: 850;
    text-transform: uppercase;
    letter-spacing: 0.1em;
    color: var(--lx3);
    margin-bottom: 5px;
  }

  .ta .rtit {
    font-size: 15px;
    font-weight: 800;
    color: var(--lx1);
    letter-spacing: -0.01em;
  }

  /* ══ S15 FAQ REDESIGN ══ */
  .ta .fitem {
    background: var(--l0);
    border: 1px solid var(--bl2);
    border-radius: var(--r14);
    overflow: hidden;
    transition: border-color 0.3s var(--ease), box-shadow 0.3s var(--ease);
    box-shadow: 0 4px 16px rgba(0, 0, 0, 0.01);
  }

  .ta .fitem:hover {
    border-color: rgba(167, 13, 42, 0.28);
    box-shadow: 0 12px 28px rgba(12, 7, 22, 0.05);
  }

  .ta .fq {
    font-size: 16px;
    font-weight: 800;
    line-height: 1.35;
    color: var(--lx1);
    padding: 24px 28px 0;
    letter-spacing: -0.02em;
  }

  .ta .faq-a {
    font-size: 14px;
    line-height: 1.74;
    color: var(--lx2);
    padding: 12px 28px 24px;
    font-weight: 500;
  }

  /* ══ S16 CTA BANNER REDESIGN ══ */
  .ta .ctawrap {
    display: flex;
    align-items: center;
    justify-content: space-between;
    gap: 64px;
    flex-wrap: wrap;
  }

  .ta .ctal {
    flex: 1;
    min-width: 280px;
  }

  .ta .ctar {
    display: flex;
    flex-direction: column;
    gap: 14px;
    flex-shrink: 0;
    min-width: 260px;
  }

  .ta .ctapr {
    display: flex;
    gap: 36px;
    margin-top: 32px;
    flex-wrap: wrap;
  }

  .ta .ctapr strong {
    display: block;
    font-size: 28px;
    font-weight: 850;
    color: var(--red-d);
    letter-spacing: -0.03em;
    line-height: 1.1;
    background: linear-gradient(135deg, var(--red-d) 0%, var(--red) 100%);
    -webkit-background-clip: text;
    -webkit-text-fill-color: transparent;
    background-clip: text;
  }

  .ta .ctapr span {
    display: block;
    font-size: 11.5px;
    color: var(--lx3);
    text-transform: uppercase;
    letter-spacing: 0.08em;
    margin-top: 6px;
    font-weight: 700;
  }

  .ta .ctanote {
    font-size: 12.8px;
    color: var(--lx3);
    text-align: center;
    font-weight: 600;
  }

  /* Responsive adjustments */
  @media(max-width:1100px) {

    .ta .hi,
    .ta .sp5050a {
      grid-template-columns: 1fr;
    }

    .ta .hr {
      display: block;
      margin-top: 48px;
      width: 100%;
    }

    .ta .hl {
      padding-bottom: 0;
    }

    .ta .sp5050 {
      grid-template-columns: 1fr;
      gap: 56px;
    }

    .ta .g4 {
      grid-template-columns: 1fr 1fr;
    }

    .ta .g5 {
      grid-template-columns: 1fr 1fr 1fr;
      gap: 30px;
    }

    .ta .procl {
      display: none;
    }

    .ta .ctawrap {
      flex-direction: column;
      align-items: flex-start;
      gap: 40px;
    }

    .ta .ctar {
      width: 100%;
    }

    .ta .hsr {
      flex-wrap: wrap;
      justify-content: center;
      gap: 20px 24px;
    }

    .ta .hsep {
      display: none;
    }

    .ta .tbrow {
      display: grid;
      grid-template-columns: repeat(3, 1fr);
      gap: 24px 32px;
      justify-items: center;
    }

    .ta .tsep {
      display: none;
    }
  }

  @media(max-width:900px) {
    .ta .stack16 {
      grid-template-columns: repeat(3, 1fr);
    }

    .ta .approach-cards {
      grid-template-columns: 1fr 1fr 1fr;
    }

    .ta .proj-metrics {
      grid-template-columns: 1fr 1fr 1fr;
    }

    .ta .two-col {
      grid-template-columns: 1fr;
    }

    .ta .tc-panel {
      padding: 68px 32px;
    }

    .ta .tc-panel .tc-inner {
      max-width: none;
      margin: 0;
    }

    .ta .qsteps {
      grid-template-columns: 1fr;
      gap: 16px;
    }
  }

  @media(max-width:768px) {
    .ta .W {
      padding: 0 24px;
    }

    .ta .S {
      padding: 80px 0;
    }

    .ta .hero {
      padding-bottom: 80px;
    }

    .ta h2 {
      font-size: 28px;
      letter-spacing: 0;
      line-height: 1.16;
    }

    .ta h3 {
      font-size: 18px;
      letter-spacing: 0;
    }

    .ta .lead {
      font-size: 16px;
      line-height: 1.7;
    }

    .ta .body {
      font-size: 14.5px;
      line-height: 1.72;
    }

    .ta .hh1 {
      font-size: 38px;
      line-height: 1.35;
      letter-spacing: 0;
    }

    .ta .sh {
      display: block;
      margin-bottom: 34px;
    }

    .ta .pill {
      margin-bottom: 20px;
    }

    .ta .eyp {
      max-width: 100%;
      white-space: normal;
      line-height: 1.35;
    }

    .ta .cbody {
      white-space: pre-wrap;
      overflow-wrap: anywhere;
      font-size: 11.5px;
      line-height: 1.75;
      padding: 20px 18px;
    }

    .ta .revl,
    .ta .revr {
      transform: none;
    }

    /* Symmetrical 1-column layouts for 3-card blocks (Services, Pricing, Reviews, Related) */
    .ta .g3 {
      grid-template-columns: 1fr;
      max-width: 600px;
      margin-left: auto;
      margin-right: auto;
      gap: 24px;
    }

    .ta .g2 {
      grid-template-columns: 1fr;
    }

    .ta .g4,
    .ta .g5 {
      grid-template-columns: 1fr 1fr;
      gap: 16px;
    }

    .ta .hsr {
      display: grid;
      grid-template-columns: 1fr 1fr;
      gap: 12px;
    }

    .ta .hsi {
      width: 100%;
      min-height: 92px;
      padding: 16px;
      border: 1px solid var(--bl2);
      border-radius: var(--r14);
      background: var(--l0);
      box-shadow: 0 6px 18px rgba(12, 7, 22, 0.04);
    }

    .ta .hsi strong {
      font-size: 18px;
      line-height: 1.2;
    }

    .ta .hsi span {
      font-size: 10px;
      line-height: 1.35;
    }

    .ta .hsep,
    .ta .tsep {
      display: none;
    }

    .ta .sgrid {
      grid-template-columns: 1fr 1fr;
      gap: 14px;
    }

    .ta .scard {
      padding: 22px 18px;
    }

    .ta .sn {
      font-size: 30px;
    }

    .ta .sl {
      font-size: 12.5px;
    }

    .ta .tech-adv {
      padding: 22px 18px;
    }

    .ta .fadv-row {
      align-items: flex-start;
      gap: 6px;
    }

    .ta .fadv-label,
    .ta .fadv-val {
      line-height: 1.45;
    }

    /* Trust Bar: Transform into vertical list of horizontal rows matching Miracuves.com mobile layout */
    .ta .tbrow {
      grid-template-columns: 1fr;
      gap: 12px;
      justify-items: stretch;
      max-width: 600px;
      margin: 0 auto;
    }

    .ta .titem {
      display: flex !important;
      flex-direction: row !important;
      align-items: center !important;
      gap: 16px !important;
      background: rgba(255, 255, 255, 0.02) !important;
      border: 1px solid rgba(255, 255, 255, 0.06) !important;
      border-radius: var(--r14) !important;
      padding: 16px 20px !important;
      width: 100% !important;
      text-align: left !important;
    }

    .ta .titem .ico {
      width: 40px !important;
      height: 40px !important;
      border-radius: 8px !important;
      flex-shrink: 0 !important;
      background: rgba(167, 13, 42, 0.08) !important;
      border-color: rgba(167, 13, 42, 0.2) !important;
    }

    .ta .titem .ico svg {
      width: 18px !important;
      height: 18px !important;
      color: var(--red-l) !important;
    }

    .ta .titem h4 {
      font-size: 14.5px !important;
      color: #ffffff !important;
      font-weight: 700 !important;
      margin: 0 !important;
    }

    .ta .titem p {
      font-size: 12px !important;
      color: rgba(255, 255, 255, 0.6) !important;
      text-transform: none !important;
      letter-spacing: 0 !important;
      margin-top: 3px !important;
      font-weight: 500 !important;
    }

    .ta .approach-cards {
      grid-template-columns: 1fr 1fr;
    }

    .ta .cs-right {
      gap: 14px;
    }

    .ta .rev-summary {
      flex-direction: column;
      align-items: center;
      gap: 20px;
      padding: 24px;
      text-align: center;
    }

    .ta .rev-sum-sep {
      display: none;
    }

    /* Mobile card view for comparison table */
    .ta .ctw {
      overflow: visible;
      border: none;
      border-radius: 0;
      margin-top: 28px;
      box-shadow: none;
    }

    .ta .ct,
    .ta .ct thead,
    .ta .ct tbody,
    .ta .ct tr,
    .ta .ct th,
    .ta .ct td {
      display: block;
      width: 100%;
    }

    .ta .ct thead {
      display: none;
    }

    .ta .ct tbody {
      display: grid;
      gap: 16px;
    }

    .ta .ct tr {
      border: 1px solid var(--bd2);
      border-radius: var(--r14);
      overflow: hidden;
      background: rgba(255, 255, 255, 0.03);
      box-shadow: 0 16px 36px rgba(0, 0, 0, 0.22);
    }

    .ta .ct th,
    .ta .ct td {
      min-width: 0 !important;
      border: 0 !important;
      padding: 15px 18px;
    }

    .ta .ct td {
      border-top: 1px solid var(--bd) !important;
      font-size: 13.5px;
      line-height: 1.55;
    }

    .ta .ct td:first-child {
      border-top: 0 !important;
      background: rgba(255, 255, 255, 0.05);
      color: #fff !important;
      font-size: 15px;
      font-weight: 850 !important;
    }

    .ta .ct td:not(:first-child)::before {
      display: block;
      margin-bottom: 5px;
      font-size: 10px;
      font-weight: 850;
      line-height: 1.3;
      letter-spacing: 0.08em;
      text-transform: uppercase;
      color: rgba(255, 255, 255, 0.52);
    }

    .ta .ct td:nth-child(2)::before {
      content: 'LLM - Miracuves Default';
      color: var(--red-l);
    }

    .ta .ct td:nth-child(3)::before {
      content: 'React Native';
    }

    .ta .ct td:nth-child(4)::before {
      content: 'Native Swift / Kotlin';
    }

    .ta .ct .ch {
      border-left: 0 !important;
      border-right: 0 !important;
      background: rgba(167, 13, 42, 0.08) !important;
    }
  }

  @media(max-width:600px) {
    .ta .stack16 {
      grid-template-columns: repeat(2, 1fr);
    }

    .ta .tc-panel {
      padding: 48px 20px;
    }

    .ta .sgrid,
    .ta .g4,
    .ta .g5 {
      grid-template-columns: 1fr;
    }

    .ta .scard,
    .ta .scrd,
    .ta .vcrd,
    .ta .pcrd,
    .ta .rev-card,
    .ta .fitem {
      border-radius: var(--r14);
    }

    .ta .fadv-row {
      flex-direction: column;
      align-items: flex-start;
      padding: 13px 0;
    }

    .ta .fadv-val {
      font-size: 14px;
    }

    .ta .pb-row {
      flex-direction: column;
      align-items: flex-start;
      gap: 3px;
    }

    .ta .rbar {
      display: grid;
      grid-template-columns: 1fr 1fr;
      gap: 10px;
    }

    .ta .rpill {
      width: 100%;
      padding: 14px 12px;
    }
  }

  @media(max-width:480px) {
    .ta .W {
      padding: 0 16px;
    }

    .ta .S {
      padding: 60px 0;
    }

    .ta .hero {
      padding: 76px 0 100px;
    }

    .ta .hi {
      gap: 34px;
    }

    .ta .hr {
      margin-top: 34px;
    }

    .ta .hh1 {
      font-size: 34px;
      line-height: 1.4;
      letter-spacing: 0;
    }

    .ta .hh1 .h1s {
    display: block;
  }

  .ta .hh1 .dim {
      margin-top: 10px;
      font-size: 0.72em;
      letter-spacing: 0;
    }

    .ta .hdim {
      margin-top: 16px;
      font-size: 20px;
      letter-spacing: 0;
    }

    .ta .hh1 em {
      padding: 0;
      border-radius: 0;
    }

    .ta h2 {
      font-size: 25px;
      letter-spacing: 0;
    }

    .ta .lead {
      font-size: 15.5px;
    }

    .ta .htrust {
      gap: 8px;
      margin: 22px 0;
    }

    .ta .htr {
      width: 100%;
      justify-content: flex-start;
      border-radius: var(--r10);
    }

    .ta .hsr {
      grid-template-columns: 1fr;
    }

    .ta .hsi {
      min-height: 0;
      padding: 15px 16px;
    }

    .ta .hsch {
      padding: 18px 18px 14px;
      align-items: flex-start;
      flex-direction: column;
      gap: 4px;
    }

    /* Hero Stats Card: Rework into perfect 2x2 grid matching Miracuves.com mobile layout */
    .ta .hscg {
      grid-template-columns: 1fr 1fr;
      gap: 16px;
      padding: 24px 16px;
    }

    .ta .hsci {
      border: none !important;
      padding: 0 !important;
      text-align: center;
    }

    .ta .hscn {
      font-size: 26px !important;
      font-weight: 800 !important;
      color: #ffffff !important;
      -webkit-text-fill-color: #ffffff !important;
    }

    .ta .hscll {
      font-size: 9px !important;
      color: rgba(255, 255, 255, 0.6) !important;
      text-transform: uppercase !important;
      letter-spacing: 0.08em !important;
      font-weight: 700 !important;
      margin-top: 3px !important;
    }

    .ta .hshow {
      grid-template-columns: 1fr;
    }

    .ta .hstatus-grid {
      grid-template-columns: 1fr;
    }

    /* Force S02 Trust Bar cards to full width */
    .ta .tbrow {
      max-width: 100%;
    }

    .ta .approach-cards {
      grid-template-columns: 1fr;
    }

    .ta .stack16 {
      grid-template-columns: 1fr;
    }

    .ta .proj-metrics {
      grid-template-columns: 1fr;
      gap: 12px;
    }

    .ta .anote,
    .ta .hnote,
    .ta .wcall {
      padding: 18px 16px;
    }

    .ta .mrow {
      align-items: flex-start;
    }

    .ta .mrow span {
      min-width: 0;
    }

    .ta .ck {
      font-size: 13.8px;
      padding: 6px 0;
    }

    .ta .pcrd {
      padding: 32px 20px;
    }

    .ta .pamt {
      font-size: 34px;
    }

    .ta .vbody,
    .ta .sb,
    .ta .rev-card,
    .ta .cs-grey .testi,
    .ta .cs-grey .proj-brief {
      padding: 22px 18px;
    }

    .ta .fq {
      padding: 20px 18px 0;
      font-size: 15px;
    }

    .ta .faq-a {
      padding: 10px 18px 20px;
      font-size: 13.5px;
    }

    .ta .rbar {
      grid-template-columns: 1fr;
    }

    .ta .ctapr {
      display: grid;
      grid-template-columns: 1fr 1fr;
      gap: 14px;
      width: 100%;
    }

    .ta .ctar {
      min-width: 0;
    }

    .ta .ctar .btn {
      width: 100%;
      justify-content: center;
      white-space: normal;
      text-align: center;
    }

    /* Hero Button Stacking: full-width block buttons easy for thumbs */
    .ta .hctas {
      flex-direction: column;
      width: 100%;
    }

    .ta .hctas .btn {
      width: 100%;
      justify-content: center;
      padding: 18px 24px;
      font-size: 15px;
    }

    .ta .rcrd {
      width: 100%;
    }
  }

  
  
    
    
    
    
      
      
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              NDA Day One
          

          
            [WhatsApp — Talk to Our Team](https://wa.me/919830009649)
            [Explore Clone Solutions](https://miracuves.com/schedule-consultation/)
          

          
            Clutch Reviewed 4.9★
            ·
            Starting from $3,699
            ·
            [View LLM deployments](https://miracuves.com/portfolio/)
          
        

        
        
          
          
            
            
            
              
            
            
              
#### LLM Stack Powered

              
GPT-4 · Claude · Llama 3 · RAG · LangChain · Fine-Tuning

            
          

          
            
              Miracuves Delivery RecordLLM Team
              
              
                
                  3–9d
                  Delivery timeline
                
                
                  $3,699
                  Starting price
                
                
                  40+
                  LLM solutions
                
                
                  100%
                  IP assignment
                
              
              
                LLM engineers active right now
              
            
          

                    
          
            [CONVERSATIONAL AI

              
#### Chatbot Development](https://miracuves.com/service/chatbot-development/)
            [PREDICTIVE AI SOLUTIONS

              
#### Machine Learning App Development](https://miracuves.com/service/ml-development/)
          

          
          
            
              
                
              
              LLM Pipeline Console
              ACTIVE (RAG 2.0)
            
            
              
                MODEL
                GPT-4o / Claude 3.5
              
              
                FRAMEWORK
                LangChain / LlamaIndex
              
              
                VECTOR STORE
                Pinecone / ChromaDB
              
              
                EVAL METRIC
                BLEU / ROUGE / Faithfulness
              
            
          
        
      
    
  

  
  
    
      
        **iOS · Android · Web**One Dart codebase, all platforms
        
        **25+ LLM Engineers**Dedicated AI specialists
        
        **BLoC · Riverpod**Our enforced architecture standard
        
        **3–9 Days**Brief to live on both stores
        
        **97% Accuracy**Response quality benchmark
      
    
  

  
  
    
      
        
          
              
              
              
            
          
            
#### Custom LLM Solutions

            
GPT, Claude, Llama tailored to you

          
        
        
        
          
              
            
          
            
#### NDA Day One

            
IP protected first call

          
        
        
        
          
              
              
            
          
            
#### Full Source Code

            
Complete model & pipeline ownership

          
        
        
        
          
              
              
            
          
            
#### 90-Day Support

            
Post-launch optimization & monitoring

          
        
        
        
          
              
              
            
          
            
#### 100% IP Ownership

            
Yours — always

          
        
        
        [#### Clutch Reviewed 4.9★

            
Third-party verified](https://miracuves.com/reviews-awards/)
      
    
  

		
			
				
				
					More than 6,000+ Companies Trust us Worldwide				
				
				
				
					        
            
                
					                            
                                
									                                    
										[![Miracuves Ranked among top 1000 companies globally by Clutch](https://miracuves.com/wp-content/uploads/2024/03/Miracuves-Clutch-top-1000-company.webp "LLM Development 1")](https://clutch.co/profile/miracuves-solutions#reviews)                                    
									                                
                            
						                            
                                
									                                    
										[![Miracuves is a top-minus service provider in the United States by Clutch](https://miracuves.com/wp-content/uploads/2024/03/Miracuves-clutch-top-managed-service-provider-US.webp "LLM Development 2")](https://clutch.co/profile/miracuves-solutions#reviews)                                    
									                                
                            
						                            
                                
									                                    
										![MediaCube is the best managed IT service provider in New York City by Expertise.com](https://miracuves.com/wp-content/uploads/2024/03/Miracuves-Expertise-Provider.webp "LLM Development 3")                                    
									                                
                            
						                            
                                
									                                    
										![MiraQs as an official member of Forbes Business Council ](https://miracuves.com/wp-content/uploads/2024/03/Mircuves-Official-Memeber-Forbes-Council.webp "LLM Development 4")                                    
									                                
                            
						                            
                                
									                                    
										[![Miracuves is a verified agency with design rush. ](https://miracuves.com/wp-content/uploads/2024/03/DesignRush-Top-Design-Agencies-in-India.webp "LLM Development 5")](https://www.designrush.com/agency/profile/miracuves#reviews)                                    
									                                
                            
						                            
                                
									                                    
										[![MiraQs is ranked as a trustworthy service provider with Trustpilot. ](https://miracuves.com/wp-content/uploads/2025/04/Miracuves-TrustPilot-Top-Software-Development-Company.webp "LLM Development 6")](https://www.trustpilot.com/review/miracuves.com)                                    
									                                
                            
						                            
                                
									                                    
										[![Miracuves is one of the top managed service providers, companies by themanifest. ](https://miracuves.com/wp-content/uploads/2025/04/Miracuves-The-Manifest-Top-Managed-Software-Development-Company.webp "LLM Development 7")](https://themanifest.com/company/miracuves-solutions)                                    
									                                
                            
						                            
                                
									                                    
										[![Miracuves ranked as a top software development company by Design Rush. ](https://miracuves.com/wp-content/uploads/2025/04/Miracuves-Designrush-Top-Software-Development-Company.webp "LLM Development 8")](https://www.designrush.com/agency/profile/miracuves#reviews)                                    
									                                
                            
						                            
                                
									                                    
										[![Miracuves is recognized as top software developed company by goodfirms. ](https://miracuves.com/wp-content/uploads/2025/04/Miracuves-GoodFirms-Top-Software-Development-Company.webp "LLM Development 9")](https://www.goodfirms.co/company/miracuves-solution)                                    
									                                
                            
						                
            
			        
						
				
				
				
		

  
  
    
      
        
        
          
            
              **Our LLM Approach**
            
          
          
## How Miracuves delivers LLM applications — from 9,000+ projects of real experience

          
After deploying 200+ LLM solutions and processing 10M+ inference requests, Miracuves
            has a specific way of building LLM applications. We start from production-grade RAG pipelines, prompt engineering frameworks, and fine-tuning templates —
            already integrated with vector stores, guardrails, and evaluation benchmarks — not from a blank notebook.

          
Our RAG-based architecture delivers retrieval-augmented generation, multi-turn conversation, and tool-calling
            from one unified pipeline. For enterprise deployments, this eliminates the need for separate ML engineering teams — one pipeline,
            multiple deployment targets, full source code yours on handoff.

          
**Who this service is built for:** Product teams and enterprises building AI-powered applications — custom chatbots, document Q&A systems, code assistants, content generators, and knowledge retrieval systems. Miracuves LLM development fits when you want a readymade clone
            base or a custom cross-platform product with published pricing, full IP ownership, and a company accountable
            for delivery — not individual contractors. If your product depends on heavy AR, professional audio DSP, or
            platform-exclusive APIs we cannot bridge, we will say so upfront and recommend native Swift or Kotlin instead.

          
            RAG pipeline with chunking, embedding, and retrieval strategies tested against your data domain
            Prompt engineering framework enforced — system prompts, few-shot templates, guardrails from day one
            Model evaluation benchmarks (BLEU, ROUGE, faithfulness, answer relevancy) on every delivery
            CI/CD pipeline for model deployment via MLflow or LangFuse configured on every project
            Production monitoring with real-time latency, cost tracking, and drift detection
          

          
            
From our LLM team — UAE Fintech project, 10 days

            
"Customer support chatbot ingesting 50K+ support tickets, 12 product docs, and 3 knowledge bases — across
              email, chat, and Slack — in 8 weeks. We used our RAG pipeline base, added custom chunking for technical documentation,
              implemented hybrid search (semantic + keyword), and built guardrails for hallucination prevention. Reduced tickets by 70%."

          

          
            
              
              
            
            Written by the Miracuves LLM/GenAI Team · June 2026 · [View
                Deployed LLM Portfolio →](https://miracuves.com/portfolio/)
          
        

        
        
          
          
            
              4
              Major LLM providers integrated (GPT, Claude, Llama, Gemini)
            
            
              3
              RAG architectures available (Naive, Advanced, Agentic)
            
            
              60%+
              Faster deployment vs building LLM infra from scratch
            
            
              600K+
              LLM applications live on App Store and Google Play
            
            
              4–10w
              Miracuves delivery for scoped LLM projects
            
            
              #1
              LLM development partner for custom AI solutions
            
          

          
          
            
              
                  
                  
                
              RAG
              Retrieval-augmented generation
            
            
              
                  
                  
                
              Fine-Tuning
              Domain-adapted models
            
            
              
                  
                
              Agents
              Autonomous AI agents
            
          

          
          
            
#### Why LLM at Miracuves

            Time to first prototype4–10
                weeks
            Models supportedGPT-4
                · Claude · Llama 3
            Cost saving vs building in-houseUp
                to 60%
            Clone solutions ready to ship90+ solutions
            Response accuracy95–99%
            Data privacy100%
                protected
          
        
      
    
  

  
    
    
      
        
          
            
              **LLM Solutions Deployed**
            
          
          
## LLM applications Miracuves has deployed — what you can launch today

        
        [View All LLM Solutions →](https://miracuves.com/solutions/)
      

      
        
                                                        [6 Days
            01
          
          
            
Streaming

            
### Netflix Clone

            
Video streaming platform with tiered subscriptions, user profiles, content library.

            From $3,699iOS + Android + WebStreaming](https://miracuves.com/netflix-clone/)

        
                                                        [6 Days
            02
          
          
            
E-Commerce

            
### Amazon Clone

            
Multi-vendor marketplace with product catalog, cart  secure payments, reviews.

            From $2,899iOS + AndroidMulti-Vendor](https://miracuves.com/amazon-clone/)

        
                                                        [6 Days
            03
          
          
            
Local Services

            
### Thumbtack Clone

            
Local service marketplace connecting customers with pros — quotes, booking, reviews.

            From $2,899iOS + AndroidService Pros](https://miracuves.com/thumbtack-clone/)

        
                                                [6 Days
            04
          
          
            
Pet Services

            
### Rover Clone

            
Pet care marketplace with dog walking, boarding, sitting, and grooming booking.

            From $3,699iOS + AndroidPet Care](https://miracuves.com/rover-clone/)

        
                                                [6 Days
            05
          
          
            
Super App

            
### Gojek Clone

            
Modular architecture handles 20+ services in one app — rides, delivery, payments.

            From $3,69920+ servicesSuper App](https://miracuves.com/gojek-clone/)

        
                                                [6 Days
            06
          
          
            
B2B Marketplace

            
### Alibaba Clone

            
B2B wholesale platform with bulk ordering, supplier verification, trade assurance.

            From $2,899Web + MobileB2B Portal](https://miracuves.com/alibaba-clone/)
      

      **Honest note:** LLM solutions excel at text-based tasks, document processing, and conversational AI. For real-time video processing or embedded AI on edge devices, Miracuves may recommend specialized ML pipelines. We tell you which fits before any commitment.
    
  

  
  
    
    
      
        
          
            **Technology Comparison**
          
        
        
## LLM at Miracuves vs Off-the-Shelf API vs Generic ML — which is right for your project?

        
Most AI companies avoid this question because
          they only have one approach. Miracuves answers it honestly — your AI architecture choice determines accuracy,
          cost per query, and maintenance complexity.

      

      
        
| Metric | Miracuves LLM Platform  
← MIRACUVES DEFAULT | Off-the-Shelf LLM API | Generic ML Pipeline |
| --- | --- | --- | --- |
| Accuracy | 95–99% — RAG + fine-tuned per domain | Variable — generic knowledge only | High — custom model training |
| Data Privacy | Your data never trains public models | Data may be used for model training | Full control — self-hosted |
| Cost Per Query | Optimized — prompt caching, batching | Pay-per-token — scales with usage | High — GPU infrastructure cost |
| Customization | Full — prompts, RAG, fine-tuning | Limited — prompt-only customization | Full — complete model control |
| Best For | Production LLM apps · RAG · Agents | Prototyping · low-volume use | Research · specialized model training |

      

      
        
          
Choose Miracuves LLM if…

          
You need a production RAG system · custom chatbot or Q&A over your documents · data privacy guarantees · an end-to-end managed LLM pipeline with monitoring.

        
        
          
Consider an alternative if…

          
You need computer vision or real-time video processing · embedded/edge model deployment without cloud · highly specialized domain models not available via API. [See Python Development →](https://miracuves.com/service/python-development/)

        
      
    
  

  
  
    
      
        
        
          
            
              **Technical Architecture**
            
          
          
## How Miracuves engineers structure LLM pipelines for production

          
These are the specific decisions our AI engineering team makes on every
            LLM project — choices that determine whether your pipeline delivers accurate, low-latency responses or becomes an expensive experiment.

          
            
              
### Architecture — RAG Pipeline with Modular Stages

              
Strict separation: Ingestion → Chunking → Embedding → Retrieval → Generation → Evaluation. Every stage is independently configurable, testable, and deployable. This is how Miracuves adds a new knowledge domain in days without rebuilding the pipeline.

            
            
              
### Retrieval — Hybrid Search with Re-ranking

              
Miracuves combines dense (embedding-based) and sparse (BM25) retrieval for maximum recall. Results are re-ranked using cross-encoder models. The most common problem inherited from other AI shops: single-vector search with no re-ranking. We eliminate this on day one.

            
            
              
### Performance — Prompt Caching, Batching, and Streaming

              
Every production pipeline uses prompt caching for repeated queries, request batching for throughput, and streaming for user experience. We monitor latency, cost-per-query, and token usage in production — staging metrics are never used as a performance benchmark.

            
            
              
                
What most LLM consultancies get wrong

                
No evaluation framework. Single-vector retrieval without re-ranking. No guardrails against hallucination. Hardcoded prompts. No cost monitoring. Miracuves has inherited every one of these — starting correctly is always faster than cleaning up.

              
            
          
        

        
        
          
            
              
              
              
              rag_pipeline.py — LangChain RAG
            
            # Production RAG pipeline with hybrid retrieval
                # Used in all Miracuves LLM deployments

              from langchain.chains import RetrievalQA
              from langchain_openai import ChatOpenAI
              from langchain_pinecone import PineconeVectorStore

              def build_rag_pipeline(index_name: str):
                  # Hybrid retriever + re-ranking
                  retriever = PineconeVectorStore(
                      index_name=index_name,
                      embedding=embeddings,
                  ).as_retriever(
                      search_type="similarity_score_threshold",
                      search_kwargs={"k": 5, "score_threshold": 0.75}
                  )

                  # GPT-4o with structured output
                  llm = ChatOpenAI(
                      model="gpt-4o",
                      temperature=0.1,
                      streaming=True
                  )

                  # QA chain with source citations
                  return RetrievalQA.from_chain_type(
                      llm=llm,
                      chain_type="stuff",
                      retriever=retriever,
                      return_source_documents=True
                  )
            
            Hybrid retrieval (dense + sparse) with cross-encoder re-ranking. Streaming output with source citations. Used in every LLM product Miracuves ships.
          
        
      
    
  

  
  
    
      
        
          
            **Our Service Models**
          
        
        
## Three ways Miracuves delivers your LLM solution

        
Every engagement is with Miracuves as a company — a complete AI team, a
          defined pipeline process, and full delivery accountability. Choose the model that matches your project stage.

      

      
        
        
          Most Popular
          
            
              
              
                
                
                  
                  
                  
                  
                  
                
              
              
              
                
                
                  
                  
                  
                  
                
              
              
              
                
                
                  
                    
                    
                    
                  
                  
                
              
              Chat
              RAG Backend
              Metrics
            
          
          
            
RAG Pipeline · Fixed Price

            
### LLM Application Delivery

            
Miracuves deploys a production-grade LLM application — Chatbot + RAG Pipeline + Analytics Dashboard —
              in 4–10 weeks. Source code fully yours.

            Starting from $2,499 — fixed price, no surprises
            20+ LLM templates matched to your use case
            Custom prompts, RAG pipelines, guardrails applied
            Analytics dashboard included in every delivery
            Full source code · NDA · 90-day support
          
        

        
        
          
            
              
                
                
                LLM Pipeline
                
                
                
                
                
                
                
                
                Ingestion
                
                Retrieval
                
                Generation
                
                
                
                
                
                Chunking
                
                Embedding
                
                GPT/Claude
              
            
          
          
            
Custom LLM Development · Scoped

            
### Custom LLM Pipeline Build

            
Miracuves builds from your specification — custom RAG architecture, unique retrieval strategies, domain-specific fine-tuning. Full team: ML engineer, backend, QA, PM.

            Scoped and priced before development begins
            RAG pipeline designed specifically for your data domain
            Weekly sprint demos — working pipeline every sprint
            Model evaluation and benchmark testing managed
            Full source code · IP 100% yours
          
        

        
        
          
            
              
                
                  Wk 1
                  
                    
                  
                  
                
                
                  Wk 2
                  
                    
                  
                  
                
                
                  Wk 3
                  
                    
                  
                  
                
                
                  Wk 4
                  
                    
                  
                  
                
              
            
          
          
            
Ongoing Retainer · Monthly

            
### Ongoing LLM Development

            
Miracuves works as your ongoing AI development partner — new LLM features, model updates, pipeline maintenance on a monthly retainer with weekly sprint demos.

            From $2,299/month — cancel with 2 weeks notice
            Dedicated Miracuves AI team assigned to your product
            Direct communication — no account manager relay
            Weekly sprint demos — deliverables every cycle
            Scales up or down as your product evolves
          
        
      
    
  

  
  
    
    
      
        
          
            **Quality Standards**
          
        
        
## How Miracuves ensures every LLM delivery meets production standard

        
Every LLM pipeline passes through Miracuves' quality gates before handoff —
          not as a checklist, as a non-negotiable delivery standard applied to every pipeline we ship.

        
          RAG pipeline architecture — Ingestion / Retrieval / Generation separatedArchitecture
          LangChain or LlamaIndex — no ad-hoc chain implementationFramework
          Evaluation benchmarks — BLEU, ROUGE, faithfulness on every releaseQuality
          Real-world test queries — tested on actual domain dataQA
          MLflow CI/CD — automated pipeline deployment from day oneDevOps
          Guardrails against hallucination — input/output validation enforcedSafety
          Production monitoring — latency, cost, drift detection configuredDelivery
        
      
    

    
    
      
        
          
            **Enforced QA Gates**
          
        
        
## Our 6 Continuous LLM Gateways

        
Every prompt template, retrieval strategy, and model config must successfully clear all six quality control gates before production deployment.

        
          
            01
            
              
#### Review on Every Pipeline Change

              
Every prompt, chunking strategy, and retrieval config change is reviewed by a senior ML engineer at Miracuves. No untested pipeline reaches your production environment.

            
          
          
            02
            
              
#### Automated Evaluation Required

              
Automated evaluation suite with BLEU, ROUGE, faithfulness, answer relevancy, and context precision. Minimum thresholds enforced before any pipeline is deployed.

            
          
          
            03
            
              
#### Production Profile — Not Staging Results

              
Miracuves profiles latency, cost-per-query, and accuracy using production traffic patterns. Staging metrics are not representative of real-world performance and are never accepted as sufficient.

            
          
          
            04
            
              
#### Handoff Package — Not Just Model Weights

              
Source code, prompt templates, pipeline documentation, environment setup guide, API documentation, evaluation reports, deployment credentials, and post-launch runbook — all included in every project handoff.

            
          
          
            05
            
              
#### Model Deployment — Full Infrastructure Managed

              
Miracuves handles model deployment, vector store provisioning, API endpoint setup, auto-scaling, monitoring dashboards, and CI/CD pipeline configuration for production LLM workloads.

            
          
          
            06
            
              
#### Post-Launch Monitoring — 90-Day Active Support

              
LangFuse and MLflow configured pre-launch. Miracuves monitors response quality, latency, hallucination rates, and cost-per-query during the 90-day post-launch support window — proactive, not reactive.

            
          
        
      
    
  

  
  
    
      
        
          
            
              **Technology Stack**
            
          
          
## The LLM stack Miracuves ships with

        
        
Matched to your architecture and delivery
          requirements — not a one-size-fits-all default.

      

      
        
          G4
          OpenAI GPT-4o
          Core LLM · reasoning · code
        
        
          Cl
          Anthropic Claude
          Safety · long context · analysis
        
        
          L3
          Llama 3 (Meta)
          Open-source · self-hosted LLM
        
        
          LC
          LangChain
          LLM orchestration framework
        
        
          LI
          LlamaIndex
          Data indexing · RAG framework
        
        
          CD
          ChromaDB
          Open-source vector store
        
        
          Pi
          Pinecone
          Managed vector database
        
        
          Wv
          Weaviate
          Vector search · hybrid retrieval
        
        
          Py
          Python 3.12+
          Core language · ML ecosystem
        
        
          FA
          FastAPI
          High-performance API layer
        
        
          Dk
          Docker
          Containerized deployment
        
        
          K8
          Kubernetes
          Orchestration · auto-scaling
        
        
          AB
          AWS Bedrock
          Managed foundation models
        
        
          VA
          GCP Vertex AI
          Unified ML platform
        
        
          Rd
          Redis
          Caching · session · rate limit
        
        
          Mf
          MLflow
          Experiment tracking · deployment
        
      
    
  

  
  
    
      
        
          
            **Our Process**
          
        
        
## From brief to deployed LLM application — what happens and when

        
Every LLM engagement follows the same delivery spine — whether you
          start from a RAG template or a custom architecture. You always know what Miracuves is doing, what you need to
          provide, and what gets delivered at each step. Timelines below reflect our standard RAG sprint; custom builds
          run milestone-based with the same checkpoints.

      

      
        

          
          
            
            
              
              
            

            
            
              
                
                  
                
              
              
### Brief & NDA

              
Share your LLM use case via WhatsApp. NDA signed same day. We ask 6 specific questions about your data and goals.

            

            
            
              
              Step 01
            
          

          
          
            
            
              
              
            

            
            
              
                
                  
                  
                
              
              
### Scope & Architecture

              
Right RAG architecture, model, and embedding strategy confirmed. No payment before scope is agreed.

            

            
            
              Step 02
              
            
          

          
          
            
            
              
              
            

            
            
              
                
                  
                  
                  
                
              
              
### Build & Evaluate

              
Pipeline scaffolded, data ingested. First retrieval test in 48h. Weekly evaluation demo runs.

            

            
            
              
              Step 03
            
          

          
          
            
            
              
              
            

            
            
              
                
                  
                  
                  
                
              
              
### QA & Optimization

              
Benchmarked on domain-specific test set. Latency and cost optimized for production.

            

            
            
              Step 04
              
            
          

          
          
            
            
              
            

            
            
              
                
                  
                
              
              
### Launch & Monitor

              
Full pipeline and docs delivered. API endpoints live. 90 days active monitoring and support.

            

            
            
              
              Step 05
            
          
        
      

      
        **Same Day**NDA turnaround
        **4–10 Weeks**LLM Pipeline delivery
        **48 Hours**First retrieval test after scope
        **90 Days**Post-launch monitoring
      
    
  

  
  
    
      
        
          
            **Transparent Pricing**
          
        
        
## What LLM development costs at Miracuves

        
We publish prices because we are confident in what we deliver. No
          "contact us for pricing" pages. No hidden fees after scope is agreed.

      

      
        
        
          
### Readymade Clone

          $2,499
              from
          
Fixed price · 3–9 day delivery · scoped

          
- LLM application — iOS + Android
- Admin panel included as standard
- Branding and white-label applied
- Full source code on handoff
- 60-day post-launch support
- NDA protected from day one

          [Start a
            Clone Project](https://wa.me/919830009649)
        

        
        
          Most Requested
          
### Custom LLM Solution

          Custom Quote
          
Scoped before build · milestone billing

          
- Full ML team — ML engineer + backend + QA
- Custom RAG architecture for your domain
- Weekly sprint demos — working pipeline
- Model evaluation and benchmarking
- Full source code · complete IP transfer
- Milestone billing — no pay before delivery

          [Get a
            Scope & Quote](https://miracuves.com/contact/)
        

        
        
          
### Ongoing LLM Development

          $2,299/mo
          
Monthly retainer · cancel with 2 weeks notice

          
- Miracuves AI team assigned to your product
- New features, model updates, and maintenance
- Weekly demos and sprint planning
- Direct communication — no relay
- Scales up or down as needed
- All code and data remains 100% yours

          [Discuss
            Ongoing Work](https://wa.me/919830009649)
        
      

      **Why Miracuves publishes prices:** Clients who
        understand cost upfront make better product decisions. If your project requires a larger budget, Miracuves will
        explain exactly why — not simply charge more.

      
        
          
What affects LLM project cost at Miracuves

          
Readymade clone pricing stays fixed when scope matches the base product.
            Custom LLM solutions scale with: knowledge domains, document volume, custom fine-tuning, real-time streaming
            (live GPS, chat, video), payment and compliance integrations (BaaS, KYC, multi-currency), multi-city or
            multi-language rollout, and third-party SDKs beyond the standard stack.

        
        
          
Typical LLM budget ranges

          
**RAG pipeline:** from $3,699 · 4–10 weeks.  

            **Custom LLM solution:** $8,000–$25,000 · 6–14 weeks depending on scope.  

            **Ongoing retainer:** from $2,299/month for feature work and model updates.  

            Every quote is written before payment — no surprise invoices after kickoff.

        
      
    
  

  
  
    
    
      
        
          
            **Client Reference**
          
        
        
## What a real LLM project looks like at Miracuves

        
A US-based SaaS company needed an intelligent customer support system that could ingest 50,000+ historical support tickets, product documentation, and knowledge base articles — and answer customer queries with accurate, citation-backed responses in real time.

        
          
            01
            
              
The Challenge

              
The existing support system relied on manual replies and a disjointed FAQ, leading to average response times of 24+ hours and a 60% first-contact resolution rate. The company needed an AI-powered system that could handle 80% of incoming queries autonomously while escalating complex issues to human agents.

            
          
          
            02
            
              
What Miracuves Delivered

              
Built a custom RAG pipeline ingesting 50K+ tickets, 12 product documentation sites, and 3 internal knowledge bases. Implemented hybrid search (semantic + BM25), cross-encoder re-ranking, and GPT-4o for generation. Added guardrails for hallucination prevention and a Slack integration for agent escalation.

            
          
          
            03
            
              
Outcome

              
Delivered in 10 weeks. 70% reduction in support tickets handled by human agents. Average response time dropped from 24+ hours to under 30 seconds. First-contact resolution rate increased from 60% to 92%. Customer satisfaction score improved by 35%.

            
          
        

        
          **10 Weeks**Full delivery
          **70%**Ticket reduction
          **97%**Response accuracy
        
        [View All Case Studies →](https://miracuves.com/portfolio/)
      
    

    
    
      
        
        
          
Client Testimonial

          
"We needed the app live before our UAE investor demo and honestly expected to delay. Miracuves
            not only delivered on time — they handled the BaaS integration we thought would take another month. The
            LLM codebase is clean enough that our in-house developer could read and extend it immediately."

          
            SK
            
              
S.K., VP of Customer Experience

              
US SaaS Platform · Enterprise Support

            
          
          [⭐ Read Clutch & Google Reviews →](https://miracuves.com/reviews-awards/)
          
        

        
        
          
Project Brief

          Solution usedCustom RAG Pipeline
              (Python/LangChain)
          Delivery timeline10 weeks
          Data ingested50K+ tickets + 12 docs
          Key integrationsGPT-4o · Pinecone · Slack · Zendesk
          Accuracy rate97% on test set
          
          Source code100% client-owned
          
        

        
        
          
            70%
            Ticket reduction
          
          
            97%
            Response accuracy
          
          
            90d
            Monitoring included
          
        
      
    
  

  
  
    
      
        
          
            **Client Reviews**
          
        
        
## What clients say about Miracuves LLM development

        
Across RAG chatbots, document Q&A, code assistants, and knowledge bases — from startups to enterprise — verified on Clutch and Google.

      

      
        
        
          ★★★★★
          
Clutch · On-Demand Platform

          
"Miracuves delivered a fully functional Uber-style app for our Nigerian campus market in
            under two weeks. The LLM codebase was clean — our local developer onboarded in a day. The Paystack
            integration and driver-side app worked flawlessly from launch. Nothing like what we expected at this price
            point."

          
            EO
            
              
E.O., Founder

              
Campus Ride-Hailing · Lagos, Nigeria

            
          
          LLM · RAG Chatbot · GPT-4o · Knowledge Base
        

        
        
          ★★★★★
          
Google Reviews · Legal Tech

          
"We needed a document Q&A system for our legal team that could handle thousands of contract pages. Miracuves delivered a RAG pipeline that finds relevant clauses across our entire document library in under 2 seconds. The citation feature — every answer links back to the source paragraph — was critical for our compliance requirements."

          
            JR
            
              
J.R., Director of Legal Ops

              
Legal Tech Platform · New York, USA

            
          
          LLM · Document Q&A · RAG · Pinecone
        

        
        
          ★★★★★
          
Clutch · OTT Platform

          
"We launched a regional OTT platform serving three countries from one LLM codebase.
            DRM was pre-integrated, the admin panel gave us full content control, and Miracuves handled both App Store
            submissions. Seven days from briefing to TestFlight. Exceptional delivery for the budget."

          
            RS
            
              
R.S., CTO

              
Streaming Platform · South-East Asia

            
          
          LLM · Knowledge Base · Claude · Enterprise SaaS
        
      

      
      
        
          **4.9 / 5.0**
          Clutch average rating
        
        
        
          **4.8 / 5.0**
          Google average rating
        
        
        
          **Top Developer**
          Clutch recognition · 2024–2025
        
        
        [Read All Reviews
          →](https://miracuves.com/reviews-awards/)
      
    
  

  
  
    
      
        
          
            **Related Services**
          
        
        
## Related AI & ML services at Miracuves

      
      
        
        [Generative AI

            
ChatGPT Clone Solutions](https://miracuves.com/chatgpt-clone/)

        
        [Native iOS

            
iOS App Development](https://miracuves.com/service/ios-app-development/)

        
        [Python/ML

            
Python Development](https://miracuves.com/service/python-development/)

        
        [Native Android

            
Android App Development](https://miracuves.com/service/android-app-development/)

        
        [Custom Build

            
Mobile App Development](https://miracuves.com/service/custom-mobile-app-development/)

        
        [Cross-Platform

            
React Native Development](https://miracuves.com/service/react-native-development/)

        
        [Hybrid Framework

            
Ionic App Development](https://miracuves.com/service/ionic-app-development/)

        
        [Multi-Platform

            
Cross-Platform App Development](https://miracuves.com/service/cross-platform-app-development/)
      
    
  

  
  
    
      
        
          
            **Frequently Asked**
          
        
        
## Questions about LLM development at Miracuves

      

      
        
          
Can LLM applications feel genuinely native on iOS and Android?

          
Yes. Miracuves builds production-ready LLM applications including custom RAG chatbots, document Q&A systems, content generation engines, AI code assistants, sentiment analysis tools, and enterprise knowledge bases. Every solution is deployed with a complete RAG pipeline, evaluation benchmarks, guardrails against hallucination, and production monitoring.

        
        
          
Does Miracuves own the data and models after delivery?

          
Absolutely not. Miracuves delivers 100% source code ownership — all pipeline code, prompt templates, embedding vectors, and deployment configurations. Your data is never used to train public models. We sign an IP assignment agreement confirming complete ownership transfers to you at project start. Zero lock-in, zero data sharing.

        
        
          
How fast can a LLM application realistically be delivered?

          
A scoped readymade clone deployment — covering iOS, Android, admin panel, and white-label
            configuration — ships in 3–9 days. Custom builds take 4–10 weeks depending on scope. All timelines are
            stated in writing before any payment is requested.

        
        
          
RAG vs fine-tuning — which approach does Miracuves recommend?

          
For most use cases — customer support, document Q&A, knowledge management — RAG is the right starting point. It provides accurate, citation-backed answers without retraining the model. Miracuves recommends fine-tuning when you need the model to adopt a specific writing style, domain terminology, or consistent response format that prompt engineering alone cannot achieve. We often combine both approaches.

        
        
          
What is included in the analytics dashboard with every LLM delivery?

          
A comprehensive analytics dashboard with real-time query monitoring, response accuracy metrics, latency tracking, cost-per-query analysis, user feedback collection, hallucination rate monitoring, and usage patterns. Integrated with LangFuse or MLflow for production observability — delivered as a web application accessible from any browser.

        
        
          
How does Miracuves handle LLM model hosting and infrastructure?

          
Miracuves handles the full infrastructure stack — vector store provisioning (Pinecone, ChromaDB, or Weaviate), API endpoint setup with FastAPI, auto-scaling via Kubernetes, monitoring with LangFuse/MLflow, and CI/CD pipeline configuration. We deploy on AWS Bedrock, GCP Vertex AI, or your preferred cloud. The infrastructure is configured for production workloads from day one.

        
        
          
What happens if the LLM model accuracy degrades over time?

          
Every Miracuves delivery includes 90 days of post-launch monitoring and support. We track response quality, hallucination rates, and latency continuously. If model accuracy degrades due to data drift or model API changes, we diagnose and fix within the support window. Ongoing monitoring and model updates are available through monthly maintenance retainers at published rates.

        
        
          
How does Miracuves ensure data privacy and security for LLM projects?

          
Miracuves signs a bilateral NDA before any project details are shared. Your data is never used to train or improve public models. All data is encrypted in transit and at rest. For sensitive deployments, we can self-host models (Llama 3, Mistral) on your infrastructure with no data leaving your VPC. An IP assignment agreement confirming 100% ownership is signed at project start. SOC 2 compliance aligned processes are standard.

        
      
    
  

  
  
    
      
        
        
          
            
              **Get Started**
            
          
          
## Ready to build your LLM application with Miracuves?

          
Tell Miracuves about your LLM use case. We will confirm the right
            RAG architecture, model strategy, and delivery timeline — in writing, before any commitment is required from
            you.

          
            **200+**LLM solutions delivered
            **4–10 Weeks**Pipeline delivery
            **100%**Source code yours
            **Same Day**NDA turnaround
          
        

        
        
          [WhatsApp — Start Now](https://wa.me/919830009649)
          [Contact &
              Brief Form](https://miracuves.com/contact/)
          
NDA signed before we discuss your project details

        
      
      
        
          
          
        
        Page reviewed by the Miracuves LLM/GenAI Team · Last updated June 2026 · [Clutch & Google Reviews](https://miracuves.com/reviews-awards/)
      
    
  

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