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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>NativeLab — Think Locally. Work Deeply.</title>
<link rel="icon" type="image/png" href="icon.png" />
<link rel="preconnect" href="https://fonts.googleapis.com" />
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
<link href="https://fonts.googleapis.com/css2?family=Instrument+Serif:ital@0;1&family=DM+Sans:wght@300;400;500&family=DM+Mono:wght@400;500&display=swap" rel="stylesheet" />
<style>
*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
:root {
--ink: #0f0e17;
--paper: #faf9f6;
--warm: #f2efe8;
--sage: #3d5a47;
--sage-lt: #6b8f76;
--clay: #b85c38;
--clay-lt: #e07b52;
--mist: #c8d4c4;
--gold: #c9a84c;
--dim: #6e6b62;
--border: #e0dbd0;
}
html { scroll-behavior: smooth; }
body {
font-family: 'DM Sans', sans-serif;
background: var(--paper);
color: var(--ink);
font-size: 16px;
line-height: 1.7;
-webkit-font-smoothing: antialiased;
}
/* ── NAV ── */
nav {
position: fixed; top: 0; left: 0; right: 0; z-index: 100;
display: flex; align-items: center; justify-content: space-between;
padding: 0 5vw;
height: 64px;
background: rgba(250,249,246,0.92);
backdrop-filter: blur(12px);
border-bottom: 1px solid var(--border);
}
.nav-logo {
font-family: 'Instrument Serif', serif;
font-size: 1.2rem;
color: var(--ink);
text-decoration: none;
letter-spacing: 0.02em;
display: flex; align-items: center; gap: 0.55rem;
}
.nav-logo img {
width: 28px; height: 28px;
border-radius: 6px;
object-fit: contain;
}
.nav-logo span { color: var(--sage); }
.nav-links { display: flex; gap: 1.6rem; align-items: center; }
.nav-links a {
font-size: 0.875rem;
font-weight: 500;
color: var(--dim);
text-decoration: none;
transition: color 0.2s;
}
.nav-links a:hover { color: var(--ink); }
.nav-cta {
background: var(--sage) !important;
color: #fff !important;
padding: 0.45rem 1.1rem;
border-radius: 6px;
font-size: 0.85rem !important;
transition: background 0.2s !important;
}
.nav-cta:hover { background: var(--sage-lt) !important; }
@media (max-width: 820px) { .nav-links a:not(.nav-cta) { display: none; } }
/* ── HERO ── */
#hero {
min-height: 100vh;
display: flex; align-items: center;
padding: 120px 5vw 80px;
position: relative;
overflow: hidden;
}
.hero-texture {
position: absolute; inset: 0; z-index: 0;
background:
radial-gradient(ellipse 70% 60% at 80% 30%, rgba(61,90,71,0.06) 0%, transparent 60%),
radial-gradient(ellipse 50% 40% at 20% 80%, rgba(201,168,76,0.05) 0%, transparent 55%);
}
.hero-inner {
position: relative; z-index: 1;
display: flex; align-items: center; gap: 4rem;
width: 100%; max-width: 1200px; margin: 0 auto;
}
.hero-copy { flex: 1 1 480px; min-width: 0; }
.hero-icon-wrap { margin-bottom: 1.6rem; }
.hero-icon {
width: 72px; height: 72px;
border-radius: 18px;
object-fit: contain;
box-shadow: 0 4px 20px rgba(61,90,71,0.15), 0 0 0 1px var(--border);
}
.hero-badge {
display: inline-flex; align-items: center; gap: 0.5rem;
background: var(--warm); border: 1px solid var(--border);
border-radius: 100px;
padding: 0.3rem 0.9rem;
font-size: 0.8rem; font-weight: 500;
color: var(--sage);
margin-bottom: 2rem;
letter-spacing: 0.04em;
}
.hero-badge::before {
content: ''; width: 7px; height: 7px;
background: var(--sage); border-radius: 50%;
}
h1 {
font-family: 'Instrument Serif', serif;
font-size: clamp(2.8rem, 7vw, 5.2rem);
line-height: 1.1;
letter-spacing: -0.02em;
color: var(--ink);
margin-bottom: 1.5rem;
}
h1 em { font-style: italic; color: var(--sage); }
.hero-sub {
font-size: clamp(1rem, 2vw, 1.2rem);
color: var(--dim);
max-width: 560px;
margin-bottom: 3rem;
line-height: 1.8;
font-weight: 300;
}
.hero-actions { display: flex; gap: 1rem; flex-wrap: wrap; }
.btn-primary {
display: inline-flex; align-items: center; gap: 0.5rem;
background: var(--sage); color: #fff;
padding: 0.85rem 1.8rem;
border-radius: 8px; text-decoration: none;
font-weight: 500; font-size: 0.95rem;
transition: all 0.2s;
border: 2px solid var(--sage);
}
.btn-primary:hover { background: transparent; color: var(--sage); }
.btn-secondary {
display: inline-flex; align-items: center; gap: 0.5rem;
background: transparent; color: var(--ink);
padding: 0.85rem 1.8rem;
border-radius: 8px; text-decoration: none;
font-weight: 500; font-size: 0.95rem;
border: 2px solid var(--border);
transition: all 0.2s;
}
.btn-secondary:hover { border-color: var(--ink); }
.hero-fig {
flex: 0 0 auto;
width: min(420px, 38vw);
opacity: 0.9;
pointer-events: none;
}
@media (max-width: 900px) { .hero-fig { display: none; } }
.terminal {
background: #141414;
border-radius: 12px;
overflow: hidden;
box-shadow: 0 20px 60px rgba(0,0,0,0.15), 0 0 0 1px rgba(255,255,255,0.06);
font-family: 'DM Mono', monospace;
font-size: 0.82rem;
}
.terminal-bar {
background: #1e1e1e;
padding: 0.6rem 1rem;
display: flex; align-items: center; gap: 0.4rem;
}
.dot { width: 10px; height: 10px; border-radius: 50%; }
.dot-r { background: #ff5f57; }
.dot-y { background: #ffbd2e; }
.dot-g { background: #28c840; }
.terminal-title { font-size: 0.7rem; color: #666; margin-left: auto; font-family: 'DM Sans', sans-serif; }
.terminal-body { padding: 1.2rem 1.2rem 1.4rem; line-height: 1.8; }
.t-dim { color: #555; }
.t-green { color: #34d399; }
.t-blue { color: #60a5fa; }
.t-amber { color: #fbbf24; }
.t-cyan { color: #22d3ee; }
.t-white { color: #e5e5e5; }
.cursor { display: inline-block; width: 8px; height: 14px; background: #34d399; vertical-align: middle; animation: blink 1.1s step-end infinite; }
@keyframes blink { 50% { opacity: 0; } }
/* ── SECTION SHARED ── */
section { padding: 6rem 5vw; }
.section-label {
font-size: 0.75rem; font-weight: 500;
letter-spacing: 0.12em; text-transform: uppercase;
color: var(--sage-lt); margin-bottom: 1rem;
}
h2 {
font-family: 'Instrument Serif', serif;
font-size: clamp(2rem, 4vw, 3rem);
line-height: 1.2; letter-spacing: -0.01em;
color: var(--ink); margin-bottom: 1.2rem;
}
h2 em { font-style: italic; color: var(--clay); }
.section-intro {
font-size: 1.05rem; color: var(--dim);
max-width: 540px; line-height: 1.8; font-weight: 300;
}
.divider { width: 40px; height: 2px; background: var(--mist); margin-bottom: 2rem; }
/* ── WHAT'S NEW BANNER ── */
#whats-new { background: var(--ink); padding: 3rem 5vw; }
.new-banner-inner {
display: flex; align-items: flex-start;
justify-content: space-between; flex-wrap: wrap; gap: 2rem;
}
.new-label {
font-size: 0.72rem; letter-spacing: 0.14em; text-transform: uppercase;
color: var(--gold); font-weight: 600; margin-bottom: 0.6rem;
}
.new-banner-text h3 {
font-family: 'Instrument Serif', serif;
font-size: 1.7rem; color: #fff; line-height: 1.25;
}
.new-banner-text h3 em { font-style: italic; color: var(--gold); }
.new-pills {
display: flex; flex-wrap: wrap; gap: 0.5rem; max-width: 580px; padding-top: 0.35rem;
}
.new-pill {
display: inline-flex; align-items: center; gap: 0.4rem;
background: rgba(255,255,255,0.06); border: 1px solid rgba(255,255,255,0.1);
border-radius: 100px; padding: 0.35rem 0.9rem;
font-size: 0.8rem; color: #bbb; font-weight: 400; transition: all 0.2s;
}
.new-pill:hover { background: rgba(255,255,255,0.11); color: #fff; }
/* ── FOR YOU ── */
#foryou { background: var(--warm); }
.audience-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(280px, 1fr));
gap: 1.5px;
margin-top: 3rem;
background: var(--border);
border: 1px solid var(--border);
border-radius: 12px;
overflow: hidden;
}
.audience-card {
background: var(--paper);
padding: 2.2rem;
transition: background 0.2s;
}
.audience-card:hover { background: #fff; }
.aud-icon { font-size: 1.6rem; margin-bottom: 1rem; display: block; }
.aud-title { font-family: 'Instrument Serif', serif; font-size: 1.25rem; color: var(--ink); margin-bottom: 0.6rem; }
.aud-desc { font-size: 0.9rem; color: var(--dim); line-height: 1.75; font-weight: 300; }
.aud-tag {
margin-top: 1rem; display: inline-block;
background: var(--mist); color: var(--sage);
font-size: 0.75rem; font-weight: 500;
padding: 0.2rem 0.7rem; border-radius: 100px;
}
/* ── CAPABILITIES ── */
#capabilities { background: var(--paper); }
.caps-layout {
display: grid; grid-template-columns: 1fr 1.2fr;
gap: 5rem; align-items: start; margin-top: 3rem;
}
@media (max-width: 860px) { .caps-layout { grid-template-columns: 1fr; gap: 3rem; } }
.caps-list { display: flex; flex-direction: column; gap: 0.5rem; }
.cap-item {
display: flex; align-items: flex-start; gap: 1rem;
padding: 1.2rem; border-radius: 10px; cursor: pointer;
transition: background 0.18s; border: 1px solid transparent;
}
.cap-item.active, .cap-item:hover { background: var(--warm); border-color: var(--border); }
.cap-item.active .cap-num { color: var(--sage); }
.cap-num {
font-family: 'DM Mono', monospace; font-size: 0.75rem;
color: var(--mist); min-width: 28px; padding-top: 2px;
transition: color 0.18s;
}
.cap-text-head { font-weight: 500; font-size: 0.95rem; color: var(--ink); margin-bottom: 0.25rem; }
.cap-text-sub { font-size: 0.85rem; color: var(--dim); font-weight: 300; line-height: 1.6; }
.caps-detail { position: sticky; top: 100px; }
.detail-card {
background: var(--warm); border: 1px solid var(--border);
border-radius: 14px; padding: 2.5rem; display: none;
}
.detail-card.active { display: block; }
.detail-card h3 { font-family: 'Instrument Serif', serif; font-size: 1.6rem; color: var(--ink); margin-bottom: 0.8rem; }
.detail-card p { font-size: 0.95rem; color: var(--dim); line-height: 1.8; font-weight: 300; margin-bottom: 1rem; }
.detail-card p:last-of-type { margin-bottom: 0; }
.detail-badge { display: flex; gap: 0.4rem; flex-wrap: wrap; margin-top: 1.2rem; }
.badge { font-size: 0.75rem; font-weight: 500; padding: 0.25rem 0.7rem; border-radius: 100px; background: var(--mist); color: var(--sage); }
.badge.clay { background: #f5ddd3; color: var(--clay); }
.badge.gold { background: #f5edcf; color: #8a6d1a; }
.badge.blue { background: #dbeafe; color: #1d4ed8; }
/* ── PIPELINE SECTION ── */
#pipeline { background: var(--ink); color: #fff; }
#pipeline .section-label { color: #8a937d; }
#pipeline h2 { color: #fff; }
#pipeline h2 em { color: var(--gold); }
#pipeline .section-intro { color: #9e9b92; }
.pipeline-demo {
display: grid; grid-template-columns: 1.15fr 0.85fr;
gap: 4rem; align-items: center; margin-top: 3.5rem;
}
@media (max-width: 860px) { .pipeline-demo { grid-template-columns: 1fr; gap: 2.5rem; } }
.pipeline-canvas-mock {
background: #0d0d1c; border: 1px solid #252340;
border-radius: 14px; padding: 2rem 1.8rem;
}
.canvas-topbar {
display: flex; align-items: center; justify-content: space-between; margin-bottom: 1.8rem;
}
.canvas-title { font-family: 'DM Mono', monospace; font-size: 0.68rem; color: #3a3a55; letter-spacing: 0.1em; }
.canvas-status {
display: flex; align-items: center; gap: 0.4rem;
font-size: 0.68rem; color: #34d399; font-family: 'DM Mono', monospace;
}
.canvas-status::before { content: ''; width: 6px; height: 6px; background: #34d399; border-radius: 50%; }
.pipe-flow {
display: flex; align-items: center; justify-content: center;
gap: 0; flex-wrap: nowrap; margin-bottom: 1.8rem; overflow-x: auto;
}
.pipe-node { display: flex; flex-direction: column; align-items: center; gap: 0.4rem; }
.pipe-node-box {
width: 68px; height: 52px; border-radius: 9px;
display: flex; align-items: center; justify-content: center;
flex-direction: column; gap: 2px;
font-family: 'DM Mono', monospace; font-size: 0.56rem; font-weight: 500;
border: 1.5px solid; transition: transform 0.2s; cursor: default;
}
.pipe-node-box:hover { transform: translateY(-2px); }
.pipe-node-box .nicon { font-size: 0.9rem; }
.pipe-node-lbl { font-size: 0.6rem; color: #3a3a55; font-family: 'DM Mono', monospace; }
.pipe-arrow { flex-shrink: 0; color: #252340; font-size: 0.9rem; padding: 0 3px; display: flex; align-items: center; margin-bottom: 18px; }
.pipe-arrow.loop-col { color: #22d3ee; font-size: 0.8rem; }
.pn-input { background: rgba(52,211,153,0.08); border-color: #34d399; color: #34d399; }
.pn-ref { background: rgba(167,139,250,0.08); border-color: #a78bfa; color: #a78bfa; }
.pn-model { background: rgba(34,211,238,0.08); border-color: #22d3ee; color: #22d3ee; }
.pn-inter { background: rgba(251,191,36,0.08); border-color: #fbbf24; color: #fbbf24; }
.pn-api { background: rgba(96,165,250,0.08); border-color: #60a5fa; color: #60a5fa; }
.pn-output { background: rgba(248,113,113,0.08); border-color: #f87171; color: #f87171; }
.pipe-legend {
display: grid; grid-template-columns: 1fr 1fr; gap: 0.6rem;
border-top: 1px solid #1a1a30; padding-top: 1.4rem;
}
.pipe-legend-item { display: flex; align-items: center; gap: 0.5rem; font-size: 0.74rem; color: #555; }
.pip-dot { width: 9px; height: 9px; border-radius: 2px; flex-shrink: 0; }
.pipeline-features { display: flex; flex-direction: column; gap: 1.8rem; }
.pipe-feat { border-left: 2px solid #1e1e38; padding-left: 1.2rem; transition: border-color 0.2s; }
.pipe-feat:hover { border-color: #22d3ee; }
.pipe-feat-title { font-weight: 500; font-size: 0.95rem; color: #e8e4d8; margin-bottom: 0.35rem; }
.pipe-feat-desc { font-size: 0.85rem; color: #6a6860; line-height: 1.7; font-weight: 300; }
/* ── API SECTION ── */
#api { background: var(--warm); }
.api-layout {
display: grid; grid-template-columns: 1fr 1fr;
gap: 4rem; align-items: start; margin-top: 3rem;
}
@media (max-width: 860px) { .api-layout { grid-template-columns: 1fr; gap: 2.5rem; } }
.provider-grid {
display: grid; grid-template-columns: repeat(auto-fill, minmax(126px, 1fr));
gap: 0.7rem; margin-top: 1.8rem;
}
.provider-card {
background: var(--paper); border: 1px solid var(--border);
border-radius: 10px; padding: 1rem 0.9rem;
display: flex; flex-direction: column; align-items: flex-start; gap: 0.35rem;
transition: all 0.18s;
}
.provider-card:hover { border-color: var(--sage-lt); background: #fff; transform: translateY(-1px); box-shadow: 0 4px 14px rgba(0,0,0,0.05); }
.prov-icon { font-size: 1.1rem; }
.prov-name { font-size: 0.82rem; font-weight: 500; color: var(--ink); }
.prov-sub { font-size: 0.71rem; color: var(--dim); font-weight: 300; }
.api-steps { display: flex; flex-direction: column; gap: 1.4rem; }
.api-step { display: flex; gap: 1rem; align-items: flex-start; }
.api-step-num {
width: 28px; height: 28px; border-radius: 50%;
background: var(--sage); color: #fff;
display: flex; align-items: center; justify-content: center;
font-family: 'DM Mono', monospace; font-size: 0.72rem; font-weight: 500;
flex-shrink: 0; margin-top: 2px;
}
.api-step h5 { font-size: 0.9rem; font-weight: 500; color: var(--ink); margin-bottom: 0.2rem; }
.api-step p { font-size: 0.83rem; color: var(--dim); font-weight: 300; line-height: 1.6; }
.prompt-box {
margin-top: 2.2rem; background: var(--paper);
border: 1px solid var(--border); border-radius: 12px; padding: 1.6rem;
}
.prompt-box h4 { font-weight: 500; font-size: 0.95rem; color: var(--ink); margin-bottom: 0.55rem; display: flex; align-items: center; gap: 0.5rem; }
.prompt-box p { font-size: 0.83rem; color: var(--dim); font-weight: 300; line-height: 1.6; margin-bottom: 0.9rem; }
.tmpl-tags { display: flex; flex-wrap: wrap; gap: 0.4rem; }
.tmpl-tag {
font-family: 'DM Mono', monospace; font-size: 0.72rem;
background: var(--warm); border: 1px solid var(--border);
color: var(--dim); padding: 0.22rem 0.65rem; border-radius: 5px;
cursor: pointer; transition: all 0.15s;
}
.tmpl-tag:hover, .tmpl-tag.active { background: var(--mist); color: var(--sage); border-color: var(--mist); }
/* ── PHILOSOPHY ── */
#philosophy { background: var(--ink); color: #fff; }
#philosophy .section-label { color: #8a937d; }
#philosophy h2 { color: #fff; }
#philosophy h2 em { color: var(--gold); }
#philosophy .section-intro { color: #9e9b92; }
.pillars {
display: grid; grid-template-columns: repeat(auto-fit, minmax(220px, 1fr));
gap: 2rem; margin-top: 4rem;
}
.pillar { border-top: 1px solid #2a2a2a; padding-top: 1.8rem; }
.pillar-num { font-family: 'DM Mono', monospace; font-size: 0.7rem; color: #444; margin-bottom: 0.8rem; letter-spacing: 0.08em; }
.pillar h4 { font-family: 'Instrument Serif', serif; font-size: 1.2rem; color: #e8e4d8; margin-bottom: 0.6rem; }
.pillar p { font-size: 0.88rem; color: #7a7870; line-height: 1.75; font-weight: 300; }
/* ── HOW IT WORKS ── */
#how { background: var(--warm); }
.steps {
display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
gap: 2rem; margin-top: 3.5rem; counter-reset: steps;
}
.step { counter-increment: steps; }
.step::before {
content: counter(steps);
font-family: 'Instrument Serif', serif; font-size: 3rem;
color: var(--mist); display: block; line-height: 1; margin-bottom: 1rem;
}
.step h4 { font-weight: 500; font-size: 1rem; color: var(--ink); margin-bottom: 0.5rem; }
.step p { font-size: 0.875rem; color: var(--dim); line-height: 1.7; font-weight: 300; }
/* ── MODEL COMPAT ── */
#models { background: var(--paper); }
.models-intro-row {
display: grid; grid-template-columns: 1fr 1fr;
gap: 4rem; align-items: start; margin-top: 3rem;
}
@media (max-width: 720px) { .models-intro-row { grid-template-columns: 1fr; } }
.model-tags { display: flex; flex-wrap: wrap; gap: 0.5rem; margin-top: 1.5rem; }
.model-tag {
font-family: 'DM Mono', monospace; font-size: 0.78rem;
background: var(--warm); border: 1px solid var(--border);
color: var(--dim); padding: 0.3rem 0.75rem; border-radius: 6px;
}
.model-tag.highlight { background: var(--mist); color: var(--sage); border-color: var(--mist); }
.model-note { font-size: 0.875rem; color: var(--dim); line-height: 1.8; font-weight: 300; }
/* ── REQUIREMENTS ── */
#requirements { background: var(--warm); }
.req-grid {
display: grid; grid-template-columns: repeat(auto-fit, minmax(240px, 1fr));
gap: 1.5rem; margin-top: 3rem;
}
.req-card { background: var(--paper); border: 1px solid var(--border); border-radius: 12px; padding: 1.8rem; }
.req-card h4 { font-weight: 500; font-size: 0.95rem; color: var(--ink); margin-bottom: 1rem; display: flex; align-items: center; gap: 0.5rem; }
.req-card ul { list-style: none; display: flex; flex-direction: column; gap: 0.45rem; }
.req-card li { font-size: 0.875rem; color: var(--dim); font-weight: 300; padding-left: 1rem; position: relative; }
.req-card li::before { content: '–'; position: absolute; left: 0; color: var(--mist); }
.req-card .note { margin-top: 1rem; font-size: 0.78rem; color: var(--sage-lt); font-style: italic; }
/* ── CTA ── */
#cta { background: var(--sage); color: #fff; text-align: center; padding: 8rem 5vw; }
#cta .section-label { color: rgba(255,255,255,0.5); }
#cta h2 { color: #fff; }
#cta h2 em { font-style: italic; color: var(--gold); }
#cta p { color: rgba(255,255,255,0.7); max-width: 480px; margin: 0 auto 2.5rem; font-size: 1rem; font-weight: 300; line-height: 1.8; }
#cta .btn-primary { background: #fff; color: var(--sage); border-color: #fff; font-size: 1rem; }
#cta .btn-primary:hover { background: transparent; color: #fff; }
#cta .btn-secondary { color: rgba(255,255,255,0.8); border-color: rgba(255,255,255,0.3); font-size: 1rem; }
#cta .btn-secondary:hover { border-color: #fff; color: #fff; }
.cta-actions { display: flex; gap: 1rem; justify-content: center; flex-wrap: wrap; }
/* ── FOOTER ── */
footer {
background: var(--ink); color: #555;
padding: 2.5rem 5vw;
display: flex; justify-content: space-between; align-items: center;
flex-wrap: wrap; gap: 1rem;
font-size: 0.82rem;
}
footer a { color: #666; text-decoration: none; transition: color 0.2s; }
footer a:hover { color: #aaa; }
.footer-brand { font-family: 'Instrument Serif', serif; font-size: 1rem; color: #888; }
/* ── ANIMATIONS ── */
.fade-up {
opacity: 0; transform: translateY(24px);
transition: opacity 0.6s ease, transform 0.6s ease;
}
.fade-up.visible { opacity: 1; transform: translateY(0); }
.fade-up:nth-child(2) { transition-delay: 0.1s; }
.fade-up:nth-child(3) { transition-delay: 0.2s; }
.fade-up:nth-child(4) { transition-delay: 0.3s; }
@media (max-width: 600px) {
h1 { font-size: 2.4rem; }
section { padding: 4rem 5vw; }
}
</style>
</head>
<body>
<!-- ── NAV ── -->
<nav>
<a class="nav-logo" href="#"><img src="icon.png" alt="NativeLab icon" />Native<span>Lab</span></a>
<div class="nav-links">
<a href="#foryou">For you</a>
<a href="#capabilities">Features</a>
<a href="#pipeline">Pipelines</a>
<a href="#api">API Models</a>
<a href="#how">Get started</a>
<a href="setup.html">Setup Guide</a>
<a href="https://github.com/7ZoneSystems/NativeLab/releases/download/Global/NativeLabPro_linux64_Major_featureUpdate_v4.tar.gz" target="_blank" class="nav-cta">Download(linux) →</a>
</div>
</nav>
<!-- ── HERO ── -->
<section id="hero">
<div class="hero-texture"></div>
<div class="hero-inner">
<!-- LEFT: copy + actions -->
<div class="hero-copy">
<div class="hero-icon-wrap">
<img src="icon.png" alt="NativeLab" class="hero-icon" />
</div>
<div class="hero-badge">Open Source · Runs Offline · Beta</div>
<h1>Your AI.<br><em>On your machine.</em><br>Answering to you.</h1>
<p class="hero-sub">
NativeLab puts powerful language models on your desktop — no subscriptions,
no data leaving your device, no internet required. Build visual AI pipelines,
connect cloud APIs when you need them, and run any model you choose.
</p>
<div class="hero-actions">
<a href="https://github.com/7ZoneSystems/NativeLab/releases/download/Global/NativeLabPro_linux64_Major_featureUpdate_v4.tar.gz"
target="_blank" class="btn-primary">↓ Download Free (Linux)</a>
<a href="https://github.com/7ZoneSystems/NativeLab/releases/download/Global/NativeLabPro2_win64_beta.zip"
target="_blank" class="btn-primary">↓ Download Free (Windows)</a>
<a href="https://github.com/7ZoneSystems/NativeLab/releases/download/Global/NativeLab-Pro-macOS-arm64.zip"
target="_blank" class="btn-primary">↓ Download Free (MacOS)</a>
<a href="#capabilities" class="btn-secondary">See what it does →</a>
</div>
</div>
<!-- RIGHT: terminal illustration -->
<div class="hero-fig">
<div class="terminal">
<div class="terminal-bar">
<div class="dot dot-r"></div>
<div class="dot dot-y"></div>
<div class="dot dot-g"></div>
<span class="terminal-title">NativeLab Pro v2</span>
</div>
<div class="terminal-body">
<div><span class="t-dim">model </span><span class="t-green">DeepSeek-R1-Q5_K_M</span></div>
<div><span class="t-dim">api </span><span class="t-blue">GPT-4o · connected</span></div>
<div><span class="t-dim">pipeline</span><span class="t-cyan">3 blocks · ready</span></div>
<div><span class="t-dim">status </span><span class="t-amber">server :8642</span></div>
<br>
<div class="t-dim">──────────────────────</div>
<br>
<div><span class="t-white">You › </span><span class="t-dim">Analyse PDFs and write a report.</span></div>
<br>
<div><span class="t-cyan">◈ </span><span class="t-dim">Intermediate · block 2/3…</span></div>
<div><span class="t-green">✦ </span><span class="t-dim">Tokens: 2,841 / 4,096</span></div>
<div><span class="t-green">✦ </span><span class="t-dim">Speed: 18.4 tok/s</span></div>
<br>
<div><span class="t-white">Lab › </span><span class="cursor"></span></div>
</div>
</div>
</div>
</div><!-- /.hero-inner -->
</section>
<!-- ── WHAT'S NEW ── -->
<div id="whats-new">
<div class="new-banner-inner">
<div class="new-banner-text">
<div class="new-label">✦ What's new in this release</div>
<h3>Pipelines, API models<br><em>& a smarter interface</em></h3>
</div>
<div class="new-pills">
<span class="new-pill">🏗️ Visual Pipeline Builder</span>
<span class="new-pill">💾 Save & Load Pipelines</span>
<span class="new-pill">🌐 Cloud API Models</span>
<span class="new-pill">🎨 Custom Prompt Formats</span>
<span class="new-pill">✨ Animated UI</span>
<span class="new-pill">🔗 Run Pipeline from Chat</span>
<span class="new-pill">📜 Scrollable Sidebar</span>
<span class="new-pill">🖱️ Reference Panel Slide-in</span>
</div>
</div>
</div>
<!-- ── FOR YOU ── -->
<section id="foryou">
<p class="section-label">Who it's for</p>
<h2>Built for work that<br><em>demands privacy</em> and depth</h2>
<p class="section-intro">NativeLab is for anyone who thinks carefully, works with sensitive material, or simply wants an AI that doesn't phone home.</p>
<div class="audience-grid">
<div class="audience-card fade-up">
<span class="aud-icon">🔬</span>
<div class="aud-title">Academic Researchers</div>
<p class="aud-desc">Feed NativeLab your papers, drafts, and datasets. Build a pipeline that summarises sources, extracts findings, and drafts a report — all without uploading sensitive research to external servers.</p>
<span class="aud-tag">Literature review · Pipeline chains</span>
</div>
<div class="audience-card fade-up">
<span class="aud-icon">👩💻</span>
<div class="aud-title">Developers</div>
<p class="aud-desc">Wire a reasoning model into a coding model on the visual canvas. Use GPT-4o for heavy lifting, a local model for proprietary code. Build once, save the pipeline, and reuse it every session.</p>
<span class="aud-tag">Pipeline builder · Local + cloud hybrid</span>
</div>
<div class="audience-card fade-up">
<span class="aud-icon">⚖️</span>
<div class="aud-title">Legal & Medical Professionals</div>
<p class="aud-desc">Analyse case documents and clinical notes without compliance risk. Everything runs on your hardware by default. When you need extra power, connect an API model — that's always your explicit choice.</p>
<span class="aud-tag">Air-gapped · Zero telemetry</span>
</div>
<div class="audience-card fade-up">
<span class="aud-icon">📓</span>
<div class="aud-title">Writers & Knowledge Workers</div>
<p class="aud-desc">Attach notes, books, and reference documents. Build a pipeline that reads, summarises, and synthesises across all of them. Run against GPT-4o when online, a local model when offline.</p>
<span class="aud-tag">Document chat · Reference context</span>
</div>
<div class="audience-card fade-up">
<span class="aud-icon">🏗️</span>
<div class="aud-title">Builders & Tinkerers</div>
<p class="aud-desc">The visual pipeline editor lets you wire any combination of models, context blocks, and output stages. Add a custom API endpoint, define your own prompt format, and iterate freely on an open codebase.</p>
<span class="aud-tag">Open source · Custom prompts · Any endpoint</span>
</div>
<div class="audience-card fade-up">
<span class="aud-icon">🌐</span>
<div class="aud-title">Offline & Remote Environments</div>
<p class="aud-desc">Field researchers, journalists in restricted regions, or anyone without reliable internet can run full AI inference with zero cloud dependency. Back online? Plug in an API model and scale up instantly.</p>
<span class="aud-tag">No internet required · API-ready when online</span>
</div>
</div>
</section>
<!-- ── CAPABILITIES ── -->
<section id="capabilities">
<p class="section-label">What you can do</p>
<h2>Less setup.<br><em>More thinking.</em></h2>
<p class="section-intro">NativeLab handles the complexity of local AI so you can focus on your work. Here's what it unlocks.</p>
<div class="caps-layout">
<div class="caps-list">
<div class="cap-item active" onclick="selectCap(0, this)">
<span class="cap-num">01</span>
<div>
<div class="cap-text-head">Talk to your PDFs</div>
<div class="cap-text-sub">Ask questions across one or many documents at once</div>
</div>
</div>
<div class="cap-item" onclick="selectCap(1, this)">
<span class="cap-num">02</span>
<div>
<div class="cap-text-head">Visual Pipeline Builder</div>
<div class="cap-text-sub">Drag, drop, and wire models together on a live canvas</div>
</div>
</div>
<div class="cap-item" onclick="selectCap(2, this)">
<span class="cap-num">03</span>
<div>
<div class="cap-text-head">Cloud API Models</div>
<div class="cap-text-sub">Connect GPT-4o, Claude, Groq, Mistral — same interface as local</div>
</div>
</div>
<div class="cap-item" onclick="selectCap(3, this)">
<span class="cap-num">04</span>
<div>
<div class="cap-text-head">Reasoning → Code Pipeline</div>
<div class="cap-text-sub">Chain a reasoning model into a coding model automatically</div>
</div>
</div>
<div class="cap-item" onclick="selectCap(4, this)">
<span class="cap-num">05</span>
<div>
<div class="cap-text-head">Reference Library</div>
<div class="cap-text-sub">Attach documents to any chat for persistent, searchable context</div>
</div>
</div>
<div class="cap-item" onclick="selectCap(5, this)">
<span class="cap-num">06</span>
<div>
<div class="cap-text-head">Pause & Resume Long Jobs</div>
<div class="cap-text-sub">Save mid-summarization and pick up exactly where you left off</div>
</div>
</div>
<div class="cap-item" onclick="selectCap(6, this)">
<span class="cap-num">07</span>
<div>
<div class="cap-text-head">Export & Session History</div>
<div class="cap-text-sub">Save conversations as JSON, Markdown, or plain text</div>
</div>
</div>
</div>
<div class="caps-detail">
<div class="detail-card active" id="detail-0">
<h3>Talk to your documents</h3>
<p>Load one PDF or a whole folder. NativeLab chunks, indexes, and feeds relevant passages into the model automatically — no manual copy-pasting. Ask questions naturally and it finds the right sections.</p>
<p>Multi-PDF mode summarises each document separately, then synthesises a final answer across all of them. Ideal for literature reviews, legal discovery, or comparing research papers.</p>
<div class="detail-badge">
<span class="badge">PDF ingestion</span>
<span class="badge">Multi-document synthesis</span>
<span class="badge clay">Context-aware chunking</span>
</div>
</div>
<div class="detail-card" id="detail-1">
<h3>Visual Pipeline Builder</h3>
<p>A full drag-and-drop canvas where you build AI workflows by connecting blocks. Drop in an Input, wire it through Reference or Knowledge context, pass it to a Model block, carry results through an Intermediate block, and collect everything in the Output.</p>
<p>Every connection is a smooth curve you draw yourself. Build loops that repeat automatically, watch each stage stream live in its own tab, and save any pipeline to reload with one click. Run saved pipelines directly from the chat window — no tab-switching needed.</p>
<div class="detail-badge">
<span class="badge blue">Drag-and-drop canvas</span>
<span class="badge">7 block types</span>
<span class="badge clay">Save & reload</span>
<span class="badge">Loop support</span>
</div>
</div>
<div class="detail-card" id="detail-2">
<h3>Cloud API Models</h3>
<p>Connect to OpenAI, Anthropic, Groq, Mistral, Together AI, OpenRouter, Ollama, or any custom endpoint from the new API Models tab. Pick a provider, paste your key, and click Test & Load. A 1-token check confirms it works before any real request is sent.</p>
<p>Once loaded, the cloud model behaves exactly like a local one — it appears in chat, works inside pipelines, and shows in the status bar. Keys are stored only on your machine. Save configs to reload instantly next session.</p>
<div class="detail-badge">
<span class="badge blue">8 providers built-in</span>
<span class="badge">1-token verification</span>
<span class="badge clay">Custom endpoints</span>
<span class="badge">Saved configs</span>
</div>
</div>
<div class="detail-card" id="detail-3">
<h3>Reasoning into Code</h3>
<p>Assign a reasoning model and a coding model. When you submit a coding task, the reasoning model thinks through intent and architecture first, then passes a concise brief to the coding model to generate the implementation.</p>
<p>You see the full chain of thought in the chat — nothing is hidden. Better code, less back-and-forth. Build this flow visually in the Pipeline Builder or let it trigger automatically from a single prompt.</p>
<div class="detail-badge">
<span class="badge">Two-model chain</span>
<span class="badge clay">Visible reasoning trace</span>
<span class="badge">Auto-detects coding tasks</span>
</div>
</div>
<div class="detail-card" id="detail-4">
<h3>Reference Library</h3>
<p>Build a persistent knowledge base for any chat session. Attach PDFs, notes, or text files as references — they're indexed once and retrieved semantically every time you ask something relevant.</p>
<p>The reference panel slides in smoothly from the right edge when you need it and stays out of the way when you don't. Think of it as giving your AI a bookshelf separate from the active conversation.</p>
<div class="detail-badge">
<span class="badge">Semantic retrieval</span>
<span class="badge clay">Persistent index</span>
<span class="badge gold">Per-session libraries</span>
</div>
</div>
<div class="detail-card" id="detail-5">
<h3>Pause & Resume</h3>
<p>Summarising a 200-page document? You don't have to sit and wait. NativeLab pauses mid-job, saves exactly which chunks have been processed and what's been generated, and lets you pick up precisely where you left off — even after restarting the app.</p>
<div class="detail-badge">
<span class="badge">State serialization</span>
<span class="badge clay">Auto-pause threshold</span>
<span class="badge">Persistent job queue</span>
</div>
</div>
<div class="detail-card" id="detail-6">
<h3>Sessions & Exports</h3>
<p>Every conversation is a session with its own history, title, and context window usage indicator. Export to JSON for programmatic use, Markdown for notes and documentation, or plain text for anything else.</p>
<p>Nothing is locked in. Your conversations are yours.</p>
<div class="detail-badge">
<span class="badge">JSON · Markdown · TXT</span>
<span class="badge clay">Context usage meter</span>
<span class="badge">Sidebar history</span>
</div>
</div>
</div>
</div>
</section>
<!-- ── PIPELINE ── -->
<section id="pipeline">
<p class="section-label">Visual pipeline builder</p>
<h2>Chain models together<br><em>like building blocks.</em></h2>
<p class="section-intro">No code. No config files. Draw a pipeline on a canvas, hit Run, and watch each stage stream its output live — right inside the app.</p>
<div class="pipeline-demo">
<div>
<div class="pipeline-canvas-mock">
<div class="canvas-topbar">
<span class="canvas-title">PIPELINE CANVAS</span>
<span class="canvas-status">server ready</span>
</div>
<div class="pipe-flow">
<div class="pipe-node">
<div class="pipe-node-box pn-input"><span class="nicon">▶</span>INPUT</div>
<span class="pipe-node-lbl">your prompt</span>
</div>
<div class="pipe-arrow">→</div>
<div class="pipe-node">
<div class="pipe-node-box pn-ref"><span class="nicon">📎</span>REF.</div>
<span class="pipe-node-lbl">inject docs</span>
</div>
<div class="pipe-arrow">→</div>
<div class="pipe-node">
<div class="pipe-node-box pn-model"><span class="nicon">🤖</span>MODEL</div>
<span class="pipe-node-lbl">reason</span>
</div>
<div class="pipe-arrow loop-col">↻×2</div>
<div class="pipe-node">
<div class="pipe-node-box pn-inter"><span class="nicon">◈</span>INTER.</div>
<span class="pipe-node-lbl">pass result</span>
</div>
<div class="pipe-arrow">→</div>
<div class="pipe-node">
<div class="pipe-node-box pn-api"><span class="nicon">🌐</span>API</div>
<span class="pipe-node-lbl">cloud model</span>
</div>
<div class="pipe-arrow">→</div>
<div class="pipe-node">
<div class="pipe-node-box pn-output"><span class="nicon">■</span>OUTPUT</div>
<span class="pipe-node-lbl">final answer</span>
</div>
</div>
<div class="pipe-legend">
<div class="pipe-legend-item"><div class="pip-dot" style="background:#34d399;"></div>Input — entry point</div>
<div class="pipe-legend-item"><div class="pip-dot" style="background:#22d3ee;"></div>Model — any loaded engine</div>
<div class="pipe-legend-item"><div class="pip-dot" style="background:#fbbf24;"></div>Intermediate — carry context</div>
<div class="pipe-legend-item"><div class="pip-dot" style="background:#f87171;"></div>Output — final result</div>
<div class="pipe-legend-item"><div class="pip-dot" style="background:#a78bfa;"></div>Reference — inject text or PDF</div>
<div class="pipe-legend-item"><div class="pip-dot" style="background:#60a5fa;"></div>API Model — any cloud endpoint</div>
</div>
</div>
</div>
<div class="pipeline-features">
<div class="pipe-feat">
<div class="pipe-feat-title">Draw connections by hand</div>
<div class="pipe-feat-desc">Drag from any port dot on a block to any port on another. Connections snap as smooth curves. Delete with a click. It feels like a whiteboard, not a settings panel.</div>
</div>
<div class="pipe-feat">
<div class="pipe-feat-title">Loops that repeat automatically</div>
<div class="pipe-feat-desc">Connect a block back to an earlier one and NativeLab detects the loop. Set how many times it repeats — the chain runs that many passes, accumulating context each time. Shown as a cyan ↻×N arrow.</div>
</div>
<div class="pipe-feat">
<div class="pipe-feat-title">Every stage streams live</div>
<div class="pipe-feat-desc">As the pipeline runs, each Intermediate block gets its own live tab in the right panel. You see every model's tokens arriving in real time. No black boxes, no waiting for a final dump.</div>
</div>
<div class="pipe-feat">
<div class="pipe-feat-title">Save and reload any pipeline</div>
<div class="pipe-feat-desc">Name a pipeline and save it. All blocks, connections, and model assignments are stored as a small file on your machine. Reload with one click — everything is exactly as you left it.</div>
</div>
<div class="pipe-feat">
<div class="pipe-feat-title">Run a pipeline from chat</div>
<div class="pipe-feat-desc">Hit the 🔗 Pipeline button next to Send. Pick a saved pipeline and it runs on your current message without leaving chat. Each stage appears as its own labelled bubble in the conversation.</div>
</div>
</div>
</div>
</section>
<!-- ── API MODELS ── -->
<section id="api">
<p class="section-label">Cloud & API models</p>
<h2>Local when you need privacy.<br><em>Cloud when you need scale.</em></h2>
<p class="section-intro">Connect to any major AI provider — or your own server — with a single form. Once verified, a cloud model works exactly like a local one throughout the whole app.</p>
<div class="api-layout">
<div>
<p style="font-size:0.9rem;color:var(--dim);font-weight:300;line-height:1.8;margin-bottom:0.5rem;">Eight providers are pre-configured with the right URLs and model lists. Pick one, add your key, and go. Or type any custom URL for your own server.</p>
<div class="provider-grid">
<div class="provider-card"><span class="prov-icon">⚡</span><div class="prov-name">OpenAI</div><div class="prov-sub">GPT-4o, o1, o3-mini</div></div>
<div class="provider-card"><span class="prov-icon">◆</span><div class="prov-name">Anthropic</div><div class="prov-sub">Claude 3.5, Haiku</div></div>
<div class="provider-card"><span class="prov-icon">⚙</span><div class="prov-name">Groq</div><div class="prov-sub">Llama 3.3, Mixtral</div></div>
<div class="provider-card"><span class="prov-icon">🌊</span><div class="prov-name">Mistral</div><div class="prov-sub">Large, Codestral</div></div>
<div class="provider-card"><span class="prov-icon">🤝</span><div class="prov-name">Together AI</div><div class="prov-sub">Llama, Qwen</div></div>
<div class="provider-card"><span class="prov-icon">🔀</span><div class="prov-name">OpenRouter</div><div class="prov-sub">100+ models</div></div>
<div class="provider-card"><span class="prov-icon">🦙</span><div class="prov-name">Ollama</div><div class="prov-sub">Local server</div></div>
<div class="provider-card"><span class="prov-icon">🔧</span><div class="prov-name">Custom</div><div class="prov-sub">Any endpoint</div></div>
</div>
<div class="prompt-box">
<h4>🎨 Custom prompt formats</h4>
<p>Some models need a specific way of wrapping messages. Pick a preset and the fields fill in automatically — or define your own system prompt, user prefix/suffix, and assistant prefix from scratch.</p>
<div class="tmpl-tags">
<span class="tmpl-tag active">Default</span>
<span class="tmpl-tag">ChatML</span>
<span class="tmpl-tag">Llama-2</span>
<span class="tmpl-tag">Alpaca</span>
<span class="tmpl-tag">Gemma</span>
<span class="tmpl-tag">Phi-3</span>
<span class="tmpl-tag">Custom</span>
</div>
</div>
</div>
<div>
<p style="font-size:1rem;color:var(--dim);font-weight:300;line-height:1.8;margin-bottom:2rem;">Adding an API model takes about 30 seconds and it's always tested with one message before anything real is sent — so you know it works before you rely on it.</p>
<div class="api-steps">
<div class="api-step">
<div class="api-step-num">1</div>
<div>
<h5>Pick a provider and model</h5>
<p>Choose from the list or type any model ID. The base URL fills in automatically for known providers.</p>
</div>
</div>
<div class="api-step">
<div class="api-step-num">2</div>
<div>
<h5>Paste your API key</h5>
<p>Keys are stored only on your machine in a local config file. Nothing is sent anywhere except to the provider you chose.</p>
</div>
</div>
<div class="api-step">
<div class="api-step-num">3</div>
<div>
<h5>Click Test & Load</h5>
<p>NativeLab sends a single 1-token "hi" to verify the connection. Green means ready. Errors appear immediately with the reason so you know exactly what to fix.</p>
</div>
</div>
<div class="api-step">
<div class="api-step-num">4</div>
<div>
<h5>Use it like any other model</h5>
<p>It appears in chat, inside pipelines, and in the status bar. Save the config to reload it instantly next time — no re-entering keys.</p>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- ── PHILOSOPHY ── -->
<section id="philosophy">
<p class="section-label">Why it exists</p>
<h2>AI should be a tool,<br><em>not a subscription.</em></h2>
<p class="section-intro">We built NativeLab because powerful inference shouldn't require cloud accounts, billing cycles, or trusting a third party with your data.</p>
<div class="pillars">
<div class="pillar">
<div class="pillar-num">01 — PRIVACY</div>
<h4>Air-gapped by design</h4>
<p>No telemetry. No account required. Everything runs on your CPU and RAM by default. When you choose to connect a cloud API, that's your deliberate decision — nothing dials out without your say-so.</p>
</div>
<div class="pillar">
<div class="pillar-num">02 — OWNERSHIP</div>
<h4>Your models, your rules</h4>
<p>Download any GGUF model and drop it in. Connect any API endpoint. Define your own prompt format. You're not locked into one vendor's model family or one company's judgment about what you should be able to ask.</p>
</div>
<div class="pillar">
<div class="pillar-num">03 — TRANSPARENCY</div>
<h4>Open source, fully</h4>
<p>The entire codebase is on GitHub. Read it, fork it, audit it. Every parameter — threads, context size, prompt templates, API formats — is exposed in the UI. Nothing happens behind the scenes that you can't see.</p>
</div>
<div class="pillar">
<div class="pillar-num">04 — RELIABILITY</div>
<h4>Works without internet</h4>
<p>Field work, travel, restricted networks — NativeLab runs wherever your laptop runs. When online, API models extend your capability without replacing the local foundation.</p>
</div>
</div>
</section>
<!-- ── HOW IT WORKS ── -->
<section id="how">
<p class="section-label">Getting started</p>
<h2>Up and running<br><em>in four steps</em></h2>
<p class="section-intro">No Docker, no Python environment, no cloud account required to start. Just download, add a model, and go.</p>
<div class="steps">
<div class="step fade-up">
<h4>Download NativeLab</h4>
<p>Grab the latest Beta release from GitHub. Available for Windows and Linux. Comes bundled with everything it needs — no extra installs.</p>
</div>
<div class="step fade-up">
<h4>Add a model</h4>
<p>Drop any <code>.gguf</code> file into the <code>/localllm</code> folder — NativeLab detects the family and sets up templates automatically. Or skip this entirely and connect a cloud API model from the API Models tab instead.</p>
</div>
<div class="step fade-up">
<h4>Configure to your hardware</h4>
<p>Set threads, context size, and generation length in the Config tab. RAM usage and context fill are shown live. Nothing runs until you're ready.</p>
</div>