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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>Helix — Technology Vision & Architecture</title>
<link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;500&family=Outfit:wght@400;500;600;700;800&display=swap" rel="stylesheet">
<style>
:root {
--bg: #0a0c10;
--surface: #12141a;
--card: rgba(255,255,255,0.035);
--border: rgba(255,255,255,0.07);
--border-hover: rgba(255,255,255,0.15);
--text: #c8cad0;
--text-dim: #5a5e6a;
--text-bright: #eaecf0;
--amber: #f0a030;
--amber-bg: rgba(240,160,48,0.08);
--amber-border: rgba(240,160,48,0.2);
--green: #4ade80;
--green-bg: rgba(74,222,128,0.08);
--green-border: rgba(74,222,128,0.2);
--blue: #60a5fa;
--blue-bg: rgba(96,165,250,0.08);
--blue-border: rgba(96,165,250,0.2);
--red: #f87171;
--red-bg: rgba(248,113,113,0.08);
--red-border: rgba(248,113,113,0.2);
--purple: #a78bfa;
--purple-bg: rgba(167,139,250,0.08);
--purple-border: rgba(167,139,250,0.2);
--teal: #2dd4bf;
--teal-bg: rgba(45,212,191,0.08);
--teal-border: rgba(45,212,191,0.2);
--coral: #fb923c;
--coral-bg: rgba(251,146,60,0.08);
--mono: 'JetBrains Mono', monospace;
--sans: 'Outfit', sans-serif;
}
*{margin:0;padding:0;box-sizing:border-box}
html{scroll-behavior:smooth}
body{background:var(--bg);color:var(--text);font-family:var(--sans);line-height:1.6;-webkit-font-smoothing:antialiased}
/* Nav */
nav{position:fixed;top:0;left:0;right:0;z-index:100;background:rgba(10,12,16,0.88);backdrop-filter:blur(14px);border-bottom:1px solid var(--border);display:flex;align-items:center;justify-content:space-between;padding:0 32px;height:52px}
nav .brand{font-weight:800;font-size:15px;color:var(--amber);letter-spacing:1px;text-decoration:none}
nav .links{display:flex;gap:20px;align-items:center}
nav .links a{font-size:11px;font-weight:500;color:var(--text-dim);text-decoration:none;transition:color .2s;letter-spacing:.3px}
nav .links a:hover{color:var(--text-bright)}
nav .cta{font-family:var(--mono);font-size:11px;padding:6px 14px;background:var(--amber-bg);border:1px solid var(--amber-border);color:var(--amber);border-radius:6px;text-decoration:none;font-weight:600;transition:all .2s}
nav .cta:hover{background:rgba(240,160,48,0.15);border-color:var(--amber)}
/* Layout */
.container{max-width:800px;margin:0 auto;padding:0 24px}
/* Animations */
@keyframes fadeUp{from{opacity:0;transform:translateY(16px)}to{opacity:1;transform:translateY(0)}}
@keyframes pulse{0%,100%{opacity:.5}50%{opacity:1}}
@keyframes ripple{0%{transform:scale(1);opacity:.5}100%{transform:scale(2.5);opacity:0}}
@keyframes scan{0%{left:-30%}100%{left:130%}}
@keyframes glow{0%,100%{box-shadow:0 0 8px rgba(240,160,48,0.08)}50%{box-shadow:0 0 24px rgba(240,160,48,0.2)}}
@keyframes orbit{from{transform:rotate(0deg) translateX(24px) rotate(0deg)}to{transform:rotate(360deg) translateX(24px) rotate(-360deg)}}
@keyframes flowDown{from{stroke-dashoffset:16}to{stroke-dashoffset:0}}
@keyframes gradientShift{0%{background-position:0% 50%}50%{background-position:100% 50%}100%{background-position:0% 50%}}
/* Hero */
.hero{text-align:center;padding:120px 0 48px;position:relative;overflow:hidden}
.hero::before{content:'';position:absolute;top:40px;left:50%;transform:translateX(-50%);width:600px;height:300px;background:radial-gradient(ellipse,rgba(240,160,48,0.06),transparent 70%);pointer-events:none}
.hero-tag{font-size:11px;font-family:var(--mono);color:var(--text-dim);letter-spacing:3px;text-transform:uppercase;animation:fadeUp .6s both}
.hero-title{font-size:clamp(28px,4vw,40px);font-weight:800;color:var(--text-bright);letter-spacing:-1px;line-height:1.15;margin:12px 0;animation:fadeUp .6s .1s both}
.hero-title .accent{background:linear-gradient(135deg,var(--amber),var(--coral));-webkit-background-clip:text;-webkit-text-fill-color:transparent;background-clip:text}
.hero-sub{font-size:15px;color:var(--text);max-width:480px;margin:0 auto;animation:fadeUp .6s .2s both}
/* Stats */
.stats{display:grid;grid-template-columns:repeat(4,1fr);gap:10px;margin:32px 0;animation:fadeUp .6s .3s both}
.stat{background:var(--surface);border-radius:10px;padding:14px;text-align:center;position:relative;overflow:hidden;border:1px solid var(--border)}
.stat::after{content:'';position:absolute;top:0;left:-30%;width:30%;height:100%;background:linear-gradient(90deg,transparent,rgba(240,160,48,0.04),transparent);animation:scan 4s ease-in-out infinite}
.stat-n{font-size:24px;font-weight:700;color:var(--text-bright)}
.stat-l{font-size:10px;color:var(--text-dim);margin-top:2px;font-family:var(--mono);letter-spacing:.5px}
/* Section */
.section{padding:48px 0 0}
.s-header{margin-bottom:20px}
.s-title{font-size:20px;font-weight:700;color:var(--text-bright);display:flex;align-items:center;gap:10px}
.s-dot{width:8px;height:8px;border-radius:50%}
.s-dot.pulse{animation:pulse 2s infinite}
.s-sub{font-size:13px;color:var(--text-dim);margin-top:4px;max-width:500px}
/* Principles */
.principles{display:grid;grid-template-columns:repeat(3,1fr);gap:10px}
.prin{background:var(--surface);border-radius:12px;padding:20px;border:1px solid var(--border);cursor:pointer;transition:all .25s;position:relative;overflow:hidden}
.prin:hover{border-color:var(--border-hover);transform:translateY(-2px)}
.prin::before{content:'';position:absolute;inset:0;opacity:0;transition:opacity .25s;background:radial-gradient(ellipse at 50% 0%,rgba(255,255,255,0.03),transparent 70%)}
.prin:hover::before{opacity:1}
.prin-num{font-size:28px;font-weight:800;margin-bottom:6px}
.prin-name{font-size:14px;font-weight:600;color:var(--text-bright);margin-bottom:6px}
.prin-desc{font-size:12px;color:var(--text-dim);line-height:1.6}
/* Immune bar */
.immune-bar{background:var(--surface);border-radius:10px;padding:12px 18px;margin-bottom:12px;border:1px solid var(--amber-border);display:flex;align-items:center;gap:14px;animation:glow 4s infinite}
.immune-dot{width:12px;height:12px;border-radius:50%;background:var(--amber);flex-shrink:0;position:relative}
.immune-dot::after{content:'';position:absolute;inset:-6px;border-radius:50%;border:1.5px solid var(--amber);animation:ripple 2s infinite}
/* Pipeline */
.p-card{background:var(--surface);border-radius:12px;padding:16px 20px;border:1px solid var(--border);cursor:pointer;transition:all .25s;position:relative;overflow:hidden}
.p-card:hover{border-color:var(--border-hover);transform:translateY(-1px)}
.p-card::after{content:'';position:absolute;top:0;left:-50%;width:30%;height:100%;background:linear-gradient(90deg,transparent,rgba(255,255,255,0.02),transparent);animation:scan 5s ease-in-out infinite}
.p-tag{font-size:10px;font-family:var(--mono);color:var(--text-dim);letter-spacing:.5px}
.p-name{font-size:15px;font-weight:600;margin:4px 0;color:var(--text-bright)}
.p-desc{font-size:12px;color:var(--text-dim);line-height:1.6}
.p-arrow{display:flex;justify-content:center;padding:6px 0}
.p-arrow-line{width:1px;height:20px;position:relative}
/* Perceive layers */
.layers{display:grid;grid-template-columns:repeat(4,1fr);gap:6px;margin:10px 0}
.layer{border-radius:8px;padding:10px;text-align:center;border:1px solid var(--border);background:rgba(255,255,255,0.02);cursor:pointer;transition:all .2s}
.layer:hover{border-color:var(--border-hover)}
.layer-num{font-size:9px;font-family:var(--mono);color:var(--text-dim)}
.layer-name{font-size:12px;font-weight:600;margin:3px 0;color:var(--text-bright)}
.layer-stat{font-size:10px;font-family:var(--mono);color:var(--text-dim)}
.layer-bar{height:3px;border-radius:2px;background:rgba(255,255,255,0.05);margin-top:8px;overflow:hidden}
.layer-fill{height:100%;border-radius:2px;transition:width 2s ease}
/* Modes */
.modes{display:grid;grid-template-columns:repeat(3,1fr);gap:6px;margin:10px 0}
.mode{border-radius:8px;padding:12px;text-align:center;border:1px solid var(--border);cursor:pointer;transition:all .2s}
.mode:hover{border-color:var(--border-hover)}
.mode-name{font-size:13px;font-weight:600}
.mode-sub{font-size:10px;color:var(--text-dim);margin-top:3px}
/* Gene Map */
.gene-card{background:var(--surface);border-radius:12px;padding:16px 20px;border:1px solid var(--amber-border);position:relative;overflow:hidden;animation:glow 5s infinite}
.gene-name{font-size:15px;font-weight:600;color:var(--amber);margin-bottom:4px}
.gene-desc{font-size:12px;color:var(--text-dim);line-height:1.6}
.gene-tags{display:flex;flex-wrap:wrap;gap:5px;margin-top:10px}
.gene-tag{font-size:10px;font-family:var(--mono);padding:3px 10px;border-radius:20px;background:rgba(240,160,48,0.06);border:1px solid var(--amber-border);color:var(--amber)}
/* Feedback */
.feedback{display:flex;align-items:center;gap:10px;margin:8px 0;padding:10px 14px;border-radius:8px;border:1px dashed var(--border);font-size:12px;color:var(--text-dim)}
.fb-icon{color:var(--amber);font-family:var(--mono);font-size:14px;animation:pulse 2s infinite}
/* Flywheel */
.flywheel{display:flex;align-items:center;gap:6px;margin:12px 0;flex-wrap:wrap}
.fw-step{font-size:11px;padding:6px 12px;border-radius:20px;background:var(--surface);border:1px solid var(--border);font-family:var(--mono);color:var(--text);transition:all .2s}
.fw-step:hover{border-color:var(--amber-border);color:var(--amber)}
.fw-arr{font-size:11px;color:var(--text-dim)}
/* Moat */
.moat-grid{display:grid;grid-template-columns:repeat(2,1fr);gap:10px}
.moat{background:var(--surface);border-radius:10px;padding:14px 16px;border:1px solid var(--border);position:relative;overflow:hidden;transition:all .25s}
.moat:hover{border-color:var(--border-hover);transform:translateY(-1px)}
.moat-name{font-size:13px;font-weight:600;margin-bottom:3px}
.moat-desc{font-size:11px;color:var(--text-dim);line-height:1.5}
.moat-orbit{position:absolute;top:10px;right:10px;width:16px;height:16px}
.moat-orb{width:4px;height:4px;border-radius:50%;position:absolute;top:50%;left:50%;animation:orbit 5s linear infinite}
.moat-full{grid-column:1/-1}
/* Roadmap */
.roadmap{position:relative;margin-top:12px}
.roadmap::before{content:'';position:absolute;left:14px;top:16px;bottom:16px;width:1px;background:var(--border)}
.rm-item{display:flex;gap:14px;padding:10px 0;position:relative}
.rm-dot{width:28px;height:28px;border-radius:50%;display:flex;align-items:center;justify-content:center;flex-shrink:0;font-size:10px;font-weight:600;z-index:1;font-family:var(--mono)}
.rm-dot.shipped{background:var(--green-bg);color:var(--green);border:1px solid var(--green-border)}
.rm-dot.dev{background:var(--amber-bg);color:var(--amber);border:1px solid var(--amber-border);animation:pulse 2s infinite}
.rm-dot.plan{background:var(--surface);color:var(--text-dim);border:1px solid var(--border)}
.rm-body{flex:1}
.rm-head{display:flex;align-items:center;gap:8px;flex-wrap:wrap}
.rm-name{font-size:13px;font-weight:600;color:var(--text-bright)}
.rm-badge{font-size:9px;padding:2px 8px;border-radius:20px;font-family:var(--mono);letter-spacing:.3px}
.rm-badge.s{background:var(--green-bg);color:var(--green);border:1px solid var(--green-border)}
.rm-badge.d{background:var(--amber-bg);color:var(--amber);border:1px solid var(--amber-border)}
.rm-badge.p{background:var(--surface);color:var(--text-dim);border:1px solid var(--border)}
.rm-desc{font-size:11px;color:var(--text-dim);margin-top:3px;line-height:1.5}
/* Evolution */
.evo{display:flex;gap:3px;margin:14px 0;position:relative}
.evo::after{content:'';position:absolute;top:50%;left:0;right:0;height:1px;background:var(--border);z-index:0}
.evo-p{flex:1;padding:12px 8px;border-radius:10px;text-align:center;position:relative;z-index:1;cursor:pointer;border:1px solid transparent;transition:all .25s}
.evo-p:hover{border-color:var(--border-hover);transform:translateY(-2px)}
.evo-p.cur{background:var(--green-bg);border-color:var(--green-border)}
.evo-p.nxt{background:var(--amber-bg);border-color:var(--amber-border)}
.evo-p.fut{background:var(--surface);border-color:var(--border)}
.evo-num{font-size:9px;font-family:var(--mono);color:var(--text-dim);letter-spacing:.5px}
.evo-name{font-size:13px;font-weight:600;margin:4px 0;color:var(--text-bright)}
.evo-cap{font-size:10px;color:var(--text-dim)}
/* Detail panel */
.detail{background:rgba(255,255,255,0.02);border-radius:8px;padding:12px 16px;margin-top:8px;display:none;font-size:12px;color:var(--text-dim);line-height:1.7;border:1px solid var(--border)}
.detail.open{display:block;animation:fadeUp .3s both}
.detail code{font-family:var(--mono);font-size:11px;background:rgba(255,255,255,0.05);padding:2px 6px;border-radius:4px;color:var(--text)}
/* Legend */
.legend{display:flex;gap:16px;margin:8px 0;font-size:11px;color:var(--text-dim)}
.legend-item{display:flex;align-items:center;gap:5px}
.legend-dot{width:8px;height:8px;border-radius:50%}
/* Footer */
.footer{margin-top:48px;padding:24px 0;border-top:1px solid var(--border);display:flex;justify-content:center;gap:24px;font-size:11px;color:var(--text-dim);flex-wrap:wrap}
.footer a{color:var(--amber);text-decoration:none}
.footer a:hover{text-decoration:underline}
/* Self-Evolution Engine */
@keyframes spin{from{transform:rotate(0deg)}to{transform:rotate(360deg)}}
@keyframes spinR{from{transform:rotate(360deg)}to{transform:rotate(0deg)}}
@keyframes colorCycle{0%{color:var(--amber)}25%{color:var(--blue)}50%{color:var(--green)}75%{color:var(--purple)}100%{color:var(--amber)}}
@keyframes orbit1{from{transform:rotate(0deg) translateX(110px) rotate(0deg)}to{transform:rotate(360deg) translateX(110px) rotate(-360deg)}}
@keyframes orbit2{from{transform:rotate(120deg) translateX(90px) rotate(-120deg)}to{transform:rotate(480deg) translateX(90px) rotate(-480deg)}}
@keyframes orbit3{from{transform:rotate(240deg) translateX(130px) rotate(-240deg)}to{transform:rotate(600deg) translateX(130px) rotate(-600deg)}}
@keyframes orbit4{from{transform:rotate(60deg) translateX(70px) rotate(-60deg)}to{transform:rotate(420deg) translateX(70px) rotate(-420deg)}}
@keyframes breathe{0%,100%{transform:scale(1)}50%{transform:scale(1.03)}}
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</style>
</head>
<body>
<nav>
<a class="brand" href="/">HELIX</a>
<div class="links">
<a href="#vision">Vision</a>
<a href="#pipeline">Pipeline</a>
<a href="#moats">Moats</a>
<a href="#roadmap">Roadmap</a>
<a href="#evolution">Evolution</a>
<a href="#self-evolution">Self-Evolution</a>
<a href="research.html">Research</a>
<a class="cta" href="https://github.com/adrianhihi/helix" target="_blank">GitHub →</a>
</div>
</nav>
<div class="container">
<!-- Hero -->
<section class="hero" id="vision">
<div class="hero-tag">Helix · v1.5.0 · Technology Vision</div>
<h1 class="hero-title">Self-healing infrastructure for<br/>the <span class="accent">autonomous agent economy</span></h1>
<p class="hero-sub">A vertical agent for payment reliability. Not a retry wrapper — a wrapper with a brain that learns, adapts, and shares repair knowledge.</p>
</section>
<!-- Stats -->
<div class="stats">
<div class="stat"><div class="stat-n">288</div><div class="stat-l">Tests passing</div></div>
<div class="stat"><div class="stat-n">31</div><div class="stat-l">Failure scenarios</div></div>
<div class="stat"><div class="stat-n">26</div><div class="stat-l">Repair strategies</div></div>
<div class="stat"><div class="stat-n">1,036</div><div class="stat-l">npm downloads</div></div>
</div>
<!-- Three Principles -->
<section class="section">
<div class="s-header">
<div class="s-title"><span class="s-dot" style="background:var(--blue)"></span>Three principles</div>
<div class="s-sub">Every design decision maps to one of these.</div>
</div>
<div class="principles">
<div class="prin" onclick="toggle('dp1')">
<div class="prin-num" style="color:var(--blue)">01</div>
<div class="prin-name">Agentic workflow</div>
<div class="prin-desc">PCEC is a multi-agent repair pipeline. Four specialized agents collaborate with configurable human-in-the-loop.</div>
</div>
<div class="prin" onclick="toggle('dp2')">
<div class="prin-num" style="color:var(--green)">02</div>
<div class="prin-name">Proprietary data moat</div>
<div class="prin-desc">Gene Map is domain-specific RAG. Every repair generates data that doesn't exist in any LLM's training set.</div>
</div>
<div class="prin" onclick="toggle('dp3')">
<div class="prin-num" style="color:var(--amber)">03</div>
<div class="prin-name">Progressive automation</div>
<div class="prin-desc">Day 1: LLM handles 100%. Day 30: Gene Map 90%. Day 180: 99%. Cost decreases with usage.</div>
</div>
</div>
<div id="dp1" class="detail">Perceive → Construct → Evaluate → Commit. Three safety modes provide human-in-the-loop: <code>observe</code> = human reviews, <code>auto</code> = bounded execution, <code>full</code> = human sets cost ceiling.</div>
<div id="dp2" class="detail">Gene Map lookup is essentially domain-specific RAG: embed error → retrieve similar repair experience → apply strategy. More agents = more data = better repairs = more agents. The flywheel that creates the moat.</div>
<div id="dp3" class="detail">Cost per repair: Day 1 = $0.001 (LLM) → Day 30 = $0.0001 → Day 180 ≈ $0. LLM only called for genuinely novel errors. Gene Map caches everything. Cost approaches zero.</div>
</section>
<!-- PCEC Pipeline -->
<section class="section" id="pipeline">
<div class="s-header">
<div class="s-title"><span class="s-dot pulse" style="background:var(--green)"></span>PCEC repair pipeline</div>
<div class="s-sub">Error → diagnose → strategize → rank → execute → learn → immune</div>
</div>
<!-- Immune fast lane -->
<div class="immune-bar">
<div class="immune-dot"></div>
<div style="font-size:13px">
<span style="font-weight:600;color:var(--amber)">Immune fast lane</span>
<span style="color:var(--text-dim)"> — Gene Map hit → skip pipeline → <1ms → $0. Handles 90%+ recurring errors.</span>
</div>
</div>
<!-- Stage 1: Perceive -->
<div class="p-card" onclick="toggle('d-per')">
<div class="p-tag">Stage 1 · <0.1ms for layers 1–2</div>
<div class="p-name" style="color:var(--purple)">Perceive — 4-layer error classification</div>
<div class="p-desc">Each layer tried in order. First match wins. 90% resolved before LLM.</div>
<div class="layers">
<div class="layer"><div class="layer-num">L1</div><div class="layer-name">Adapter</div><div class="layer-stat">~99%</div><div class="layer-bar"><div class="layer-fill" style="width:99%;background:var(--green)"></div></div></div>
<div class="layer"><div class="layer-num">L2</div><div class="layer-name">Embedding</div><div class="layer-stat">~90%</div><div class="layer-bar"><div class="layer-fill" style="width:90%;background:var(--blue)"></div></div></div>
<div class="layer"><div class="layer-num">L3</div><div class="layer-name">LLM</div><div class="layer-stat">~85%</div><div class="layer-bar"><div class="layer-fill" style="width:85%;background:var(--amber)"></div></div></div>
<div class="layer"><div class="layer-num">L4</div><div class="layer-name">Unknown</div><div class="layer-stat">Escalate</div><div class="layer-bar"><div class="layer-fill" style="width:100%;background:var(--text-dim)"></div></div></div>
</div>
</div>
<div id="d-per" class="detail">Adapters cover Tempo (13 patterns), Coinbase (8), Privy (7), Generic HTTP (3). Embedding uses 28 token-weighted signatures for fuzzy matching. LLM result cached in Gene Map — called only once per novel error. Output: <code>failureCode</code> + <code>category</code> + <code>severity</code> + <code>rootCause</code>.</div>
<div class="p-arrow"><div class="p-arrow-line" style="border-left:1px dashed var(--border);height:20px;margin:0 auto"></div></div>
<!-- Stage 2: Construct -->
<div class="p-card" onclick="toggle('d-con')">
<div class="p-tag">Stage 2 · <1ms</div>
<div class="p-name" style="color:var(--teal)">Construct — generate repair candidates</div>
<div class="p-desc">Gene Map history · 26-strategy library · LLM novel strategies · chain detection for compound repairs (nonce+gas → sequential fix).</div>
</div>
<div id="d-con" class="detail">Strategy chains detected automatically: <code>refresh_nonce → speed_up_transaction</code>. Each candidate has cost estimate, speed score, safety rating, and platform compatibility.</div>
<div class="p-arrow"><div class="p-arrow-line" style="border-left:1px dashed var(--border);height:20px;margin:0 auto"></div></div>
<!-- Stage 3: Evaluate -->
<div class="p-card" onclick="toggle('d-eval')">
<div class="p-tag">Stage 3 · <1ms</div>
<div class="p-name" style="color:var(--blue)">Evaluate — Bayesian Q-value ranking</div>
<div class="p-desc">Q ± σ uncertainty · Thompson Sampling · Adaptive α (new α≈0.15, old α≈0.01) · Context-aware by gas/time/chain · A/B test override.</div>
</div>
<div id="d-eval" class="detail">Score = <code>w_q·Q(s) + w_c·(1-cost/budget) + w_s·speed + w_h·safety</code>. Thompson Sampling draws from <code>N(Q, σ²)</code> — balances exploit (high-Q) with explore (high-σ). A/B tests use 90/10 split with auto-evaluation after 20 trials.</div>
<div class="p-arrow"><div class="p-arrow-line" style="border-left:1px dashed var(--border);height:20px;margin:0 auto"></div></div>
<!-- Stage 4: Commit -->
<div class="p-card" onclick="toggle('d-com')">
<div class="p-tag">Stage 4</div>
<div class="p-name" style="color:var(--coral)">Commit — execute + verify</div>
<div class="p-desc">Three safety modes control execution scope. SAGE-inspired verify validates repair. Failed verify → re-enter with strategy blocked.</div>
<div class="modes">
<div class="mode" style="background:var(--green-bg);border-color:var(--green-border)">
<div class="mode-name" style="color:var(--green)">Observe</div>
<div class="mode-sub">Diagnose only, zero risk</div>
</div>
<div class="mode" style="background:var(--amber-bg);border-color:var(--amber-border)">
<div class="mode-name" style="color:var(--amber)">Auto</div>
<div class="mode-sub">Param repairs, no fund moves</div>
</div>
<div class="mode" style="background:var(--red-bg);border-color:var(--red-border)">
<div class="mode-name" style="color:var(--red)">Full</div>
<div class="mode-sub">Cost-capped + whitelisted</div>
</div>
</div>
</div>
<div id="d-com" class="detail">Formal Safety Verification (in development): SMT-based constraint checking — <code>balance ≥ min</code>, <code>gas ≤ cap</code>, <code>recipient ∈ whitelist</code>. If constraints fail → auto-downgrade to observe. Aerospace-grade safety for agent payments.</div>
<div class="p-arrow"><div class="p-arrow-line" style="border-left:1px dashed var(--border);height:20px;margin:0 auto"></div></div>
<!-- Gene Map -->
<div class="gene-card">
<div class="p-tag">Feedback loop</div>
<div class="gene-name">Gene Map — store + learn + predict</div>
<div class="gene-desc">Successful repair → Gene Capsule stored. Next identical error → immune. Cross-platform: Tempo Gene protects Coinbase agents. Predictive graph preloads likely next failure.</div>
<div class="gene-tags">
<span class="gene-tag">Bayesian Q ± σ</span>
<span class="gene-tag">Adaptive α</span>
<span class="gene-tag">Context-aware</span>
<span class="gene-tag">Cross-platform</span>
<span class="gene-tag">Predictive graph</span>
<span class="gene-tag">Strategy chains</span>
<span class="gene-tag">Gene Registry</span>
<span class="gene-tag">Audit log</span>
<span class="gene-tag">OTEL tracing</span>
</div>
</div>
<!-- Feedback arrows -->
<div class="feedback"><span class="fb-icon">↻</span>Same error next time = <strong style="color:var(--amber)"><1ms immune</strong> — bypasses entire pipeline</div>
<div class="feedback"><span class="fb-icon">↻</span>Predictive graph preloads next failure → <strong style="color:var(--amber)"><0.1ms</strong> if prediction hits</div>
<div class="feedback"><span class="fb-icon">↑</span>Gene Registry syncs across instances → Agent A learns → Agent B immune</div>
</section>
<!-- Data Flywheel -->
<section class="section">
<div class="s-header">
<div class="s-title"><span class="s-dot" style="background:var(--amber)"></span>Data flywheel</div>
</div>
<div class="flywheel">
<span class="fw-step">More agents</span><span class="fw-arr">→</span>
<span class="fw-step">More failures seen</span><span class="fw-arr">→</span>
<span class="fw-step">More Gene data</span><span class="fw-arr">→</span>
<span class="fw-step">Better repairs</span><span class="fw-arr">→</span>
<span class="fw-step">More agents</span><span class="fw-arr">↻</span>
</div>
</section>
<!-- Technology Moats -->
<section class="section" id="moats">
<div class="s-header">
<div class="s-title"><span class="s-dot" style="background:var(--red)"></span>Technology moats</div>
<div class="s-sub">Five layers of defensibility — code can be copied, these can't.</div>
</div>
<div class="moat-grid">
<div class="moat" onclick="toggle('dm1')">
<div class="moat-orbit"><div class="moat-orb" style="background:var(--blue)"></div></div>
<div class="moat-name" style="color:var(--blue)">Causal repair graph</div>
<div class="moat-desc">Beyond correlation → causal inference. Traces root cause chains. Enables preventive repairs before symptoms appear.</div>
</div>
<div class="moat" onclick="toggle('dm2')">
<div class="moat-orbit"><div class="moat-orb" style="background:var(--green);animation-delay:-1.5s"></div></div>
<div class="moat-name" style="color:var(--green)">Federated Gene learning</div>
<div class="moat-desc">Agents share Q-value gradients, never raw data. Differential privacy. Distributed RL across the network.</div>
</div>
<div class="moat" onclick="toggle('dm3')">
<div class="moat-orbit"><div class="moat-orb" style="background:var(--amber);animation-delay:-3s"></div></div>
<div class="moat-name" style="color:var(--amber)">Formal safety verification</div>
<div class="moat-desc">SMT constraint checking pre-execution. balance ≥ min, gas ≤ cap, recipient ∈ whitelist. Aerospace-grade.</div>
</div>
<div class="moat" onclick="toggle('dm4')">
<div class="moat-orbit"><div class="moat-orb" style="background:var(--red);animation-delay:-4s"></div></div>
<div class="moat-name" style="color:var(--red)">Meta-learning repair</div>
<div class="moat-desc">Few-shot: 3 nonce errors → learns the pattern → 4th variant fixed with 1 example. MAML-inspired transfer.</div>
</div>
</div>
<div class="moat moat-full" style="margin-top:10px" onclick="toggle('dm5')">
<div class="moat-name" style="color:var(--purple)">Adversarial robustness</div>
<div class="moat-desc">4-layer defense: reputation scoring · multi-agent verification (3 validators) · anomaly detection on Q-trajectories · automatic rollback to safe state.</div>
</div>
<div id="dm1" class="detail">When PCEC repairs a nonce error, the Causal Graph traces: concurrent wallet access → shared nonce pool → nonce conflict. This enables fixing the root cause (add nonce queue) not just the symptom (refresh nonce).</div>
<div id="dm2" class="detail">Each agent trains Q-values locally. Only gradient updates are shared via differential privacy. The Registry aggregates into a global model. Privacy-preserving collective intelligence — like Google's Federated Learning for keyboard prediction, but for repair strategies.</div>
<div id="dm3" class="detail">Before executing any repair, an SMT solver verifies safety constraints: <code>balance ≥ minSafe</code>, <code>gasCost ≤ maxBudget</code>, <code>recipient ∈ approvedList</code>. If any constraint fails → auto-downgrade to observe mode. No unsafe repair ever executes.</div>
<div id="dm4" class="detail">After seeing 3 variants of nonce errors repaired, the meta-learner extracts the "nonce error repair pattern" — the common structure across variants. The 4th variant is fixed with a single example because the pattern is already learned. Built on Context-Aware Gene Map's cross-platform transfer mechanism.</div>
<div id="dm5" class="detail">Gene Registry poisoning defense: (1) Push threshold Q>0.7 + 3 successes. (2) Pull discount 20%. (3) Multi-agent verification — Gene must be validated by 3 independent agents. (4) Anomaly detection — sudden Q-value spikes flagged. (5) Auto-rollback to last known safe state if poisoning detected.</div>
</section>
<!-- Roadmap -->
<section class="section" id="roadmap">
<div class="s-header">
<div class="s-title"><span class="s-dot" style="background:var(--purple)"></span>Technology roadmap</div>
</div>
<div class="legend">
<div class="legend-item"><div class="legend-dot" style="background:var(--green)"></div>Shipped</div>
<div class="legend-item"><div class="legend-dot" style="background:var(--amber);animation:pulse 2s infinite"></div>In development</div>
<div class="legend-item"><div class="legend-dot" style="background:var(--text-dim)"></div>Planned</div>
</div>
<div class="roadmap">
<div class="rm-item"><div class="rm-dot shipped">P</div><div class="rm-body"><div class="rm-head"><span class="rm-name">Predictive failure graph</span><span class="rm-badge s">v1.5</span></div><div class="rm-desc">Statistical transition matrix. Preloads likely next Gene into L1 cache.</div></div></div>
<div class="rm-item"><div class="rm-dot shipped">G</div><div class="rm-body"><div class="rm-head"><span class="rm-name">Gene Registry</span><span class="rm-badge s">v1.5</span></div><div class="rm-desc">Push/pull shared knowledge. Q>0.7 threshold, 20% pull discount, privacy-preserving.</div></div></div>
<div class="rm-item"><div class="rm-dot shipped">E</div><div class="rm-body"><div class="rm-head"><span class="rm-name">Error embedding + A/B testing</span><span class="rm-badge s">v1.5</span></div><div class="rm-desc">28 token signatures for fuzzy matching. 90/10 controlled experiments.</div></div></div>
<div class="rm-item"><div class="rm-dot shipped">O</div><div class="rm-body"><div class="rm-head"><span class="rm-name">OpenTelemetry + audit log</span><span class="rm-badge s">v1.4</span></div><div class="rm-desc">Tracing spans + metrics for Datadog/Grafana. Compliance-ready audit trail.</div></div></div>
<div class="rm-item"><div class="rm-dot dev">C</div><div class="rm-body"><div class="rm-head"><span class="rm-name">Causal repair graph</span><span class="rm-badge d">dev</span></div><div class="rm-desc">Root cause tracing. Fix the cause before the symptom appears.</div></div></div>
<div class="rm-item"><div class="rm-dot dev">F</div><div class="rm-body"><div class="rm-head"><span class="rm-name">Formal safety verification</span><span class="rm-badge d">dev</span></div><div class="rm-desc">SMT-based pre-execution constraint checking.</div></div></div>
<div class="rm-item"><div class="rm-dot plan">M</div><div class="rm-body"><div class="rm-head"><span class="rm-name">Meta-learning repair</span><span class="rm-badge p">planned</span></div><div class="rm-desc">MAML few-shot. 3 examples → learn error class → instant fix on variant.</div></div></div>
<div class="rm-item"><div class="rm-dot plan">D</div><div class="rm-body"><div class="rm-head"><span class="rm-name">Federated Gene learning</span><span class="rm-badge p">planned</span></div><div class="rm-desc">Distributed RL. Gradient-only sharing. Differential privacy aggregation.</div></div></div>
<div class="rm-item"><div class="rm-dot plan">A</div><div class="rm-body"><div class="rm-head"><span class="rm-name">Adversarial robustness</span><span class="rm-badge p">planned</span></div><div class="rm-desc">Reputation + multi-agent verification + anomaly detection + rollback.</div></div></div>
</div>
</section>
<!-- Gene Map Evolution -->
<section class="section" id="evolution">
<div class="s-header">
<div class="s-title"><span class="s-dot" style="background:var(--amber)"></span>Gene Map architecture evolution</div>
<div class="s-sub">From local cache to distributed temporal knowledge graph with federated learning.</div>
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<div class="evo-p cur"><div class="evo-num">Phase 1</div><div class="evo-name">SQLite</div><div class="evo-cap">Local, zero-dep</div></div>
<div class="evo-p nxt"><div class="evo-num">Phase 2</div><div class="evo-name">pgvector</div><div class="evo-cap">Semantic search</div></div>
<div class="evo-p fut"><div class="evo-num">Phase 3</div><div class="evo-name">Knowledge graph</div><div class="evo-cap">Causal + temporal</div></div>
<div class="evo-p fut"><div class="evo-num">Phase 4</div><div class="evo-name">Federated RL</div><div class="evo-cap">Distributed learning</div></div>
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</section>
<!-- Self-Evolution Engine -->
<section class="section" id="self-evolution">
<div class="s-header" style="text-align:center">
<div class="s-title" style="justify-content:center"><span class="s-dot pulse" style="background:var(--purple)"></span>Self-Evolution Engine</div>
<div class="s-sub" style="margin:4px auto;max-width:500px">Helix doesn't just heal agents — it heals itself. Recursive self-improvement backed by 5 papers, 5 methods, 1 closed loop.</div>
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<strong>κ > 0</strong>
self-improvement<br/>coefficient
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<div class="kappa-formula">G(generate) → V(verify) → U(update) → κ > 0 → ∞ improvement</div>
<div class="kappa-explain">GVU Operator (arXiv:2512.02731) — mathematically proven: if signal > noise, self-improvement is guaranteed. PCEC is a GVU instance.</div>
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<div class="s-title" style="font-size:16px"><span class="s-dot pulse" style="background:var(--purple)"></span>Recursive evolution loop</div>
<div class="s-sub">Five methods, four papers, one closed loop. Each cycle produces a strictly stronger system.</div>
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<svg width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="var(--purple)" stroke-width="1.5"><circle cx="12" cy="12" r="9"/><path d="M12 7v5l3 3"/></svg>
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<div class="evo-step-name" style="color:var(--purple)">① Memory-driven learning</div>
<div class="evo-step-desc">Gene Map as episodic memory. Q-value tracks utility. High-utility memories retrieved more, low-utility forgotten. The system remembers what works.</div>
<div class="evo-paper"><a href="https://arxiv.org/abs/2601.03192" target="_blank">MemRL (2026)</a> — already implemented in v1.5</div>
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<div id="de1" class="detail">Gene Map = MemRL's episodic memory. Each Gene Capsule stores: error pattern + strategy + Q-value + context + platform. Q-value acts as utility score — high-Q genes are retrieved first, low-Q genes decay via natural selection. This is exactly the mechanism described in the MemRL paper, applied to error repair.</div>
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<svg width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="var(--amber)" stroke-width="1.5"><path d="M12 3v12M8 11l4 4 4-4"/><path d="M5 19h14"/></svg>
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<div class="evo-step-name" style="color:var(--amber)">② Experience distillation</div>
<div class="evo-step-desc">Raw repair records → abstract strategic principles. Not "nonce → refresh" but "state desync pattern → refresh from source of truth". Learns the pattern, not the instance.</div>
<div class="evo-paper"><a href="https://arxiv.org/abs/2510.16079" target="_blank">EvolveR (2025)</a> — offline self-distillation lifecycle</div>
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<div id="de2" class="detail">EvolveR's three-phase lifecycle maps perfectly: Online (PCEC repairs in production) → Offline Self-Distillation (Gene Map records → abstract principles) → Policy Update (Q-values + strategy ranking). The key insight: distilled principles transfer across platforms. A "state desync" principle learned on Tempo applies to Coinbase without re-learning.</div>
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<svg width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="var(--blue)" stroke-width="1.5"><path d="M4 12h4l3-9 4 18 3-9h4"/></svg>
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<div class="evo-step-name" style="color:var(--blue)">③ Self-play evolution</div>
<div class="evo-step-desc">Challenger generates increasingly hard failures. Repair agent attempts fix. Verifier validates. No real users needed — 24/7 autonomous evolution toward superintelligent repair.</div>
<div class="evo-paper"><a href="https://arxiv.org/abs/2512.18552" target="_blank">Self-Play SWE-RL (2025)</a> — "toward superintelligent software agents"</div>
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<div id="de3" class="detail">The Self-Play SWE-RL paper shows a single agent trained to both inject and repair bugs of increasing complexity — no human-labeled data needed. For Helix: a Challenger agent generates novel payment failures (e.g. "what if gas spikes 10x mid-transaction and the nonce rotates?"), the PCEC Repair agent attempts to fix it, and a Verifier checks correctness. Each round, the Challenger generates harder scenarios. This is AlphaGo Zero for error repair.</div>
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<svg width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="var(--green)" stroke-width="1.5"><path d="M12 3l8 4.5v9L12 21l-8-4.5v-9L12 3z"/><path d="M12 12l8-4.5M12 12v9M12 12L4 7.5"/></svg>
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<div class="evo-step-name" style="color:var(--green)">④ Self-distillation</div>
<div class="evo-step-desc">No external teacher needed. Model sees its own failures + rich feedback from Gene Map → teaches itself. Converts error feedback into dense learning signal. Cost → $0.</div>
<div class="evo-paper"><a href="https://arxiv.org/abs/2601.20802" target="_blank">SDPO (2026)</a> — RL via self-distillation, no reward model</div>
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<div id="de4" class="detail">SDPO (Self-Distillation Policy Optimization) eliminates the need for GPT-4 as teacher. Gene Map's repair records provide "rich feedback" — not just success/fail, but error details, context, timing. The model conditioned on this feedback becomes its own teacher. This is how Helix's cost approaches zero: no external LLM calls, pure self-teaching from accumulated experience.</div>
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<div class="evo-icon" style="background:rgba(248,113,113,.06)">
<svg width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="var(--red)" stroke-width="1.5"><path d="M12 2C6.5 2 2 6.5 2 12s4.5 10 10 10 10-4.5 10-10"/><path d="M22 2L12 12"/><path d="M16 2h6v6"/></svg>
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<div class="evo-step-name" style="color:var(--red)">⑤ Recursive loop</div>
<div class="evo-step-desc">Better model → better self-play → better data → better distillation → better model. Each cycle surpasses the last. This is the recursive self-improvement condition: κ > 0.</div>
<div class="evo-paper"><a href="https://arxiv.org/abs/2512.02731" target="_blank">GVU Theory (2025)</a> — mathematical proof of self-improvement</div>
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<div id="de5" class="detail">The GVU paper proves that any system with Generator (PCEC Construct), Verifier (PCEC Evaluate), and Updater (Gene Map) will continuously improve as long as the self-improvement coefficient κ > 0. The "Second Law of AGI Dynamics": entropy increases UNLESS signal > noise. Our Gene Map ensures signal accumulates faster than noise — each successful repair is a verified data point with ground truth.</div>
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<!-- Feedback loop callout -->
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<span class="evo-fb-sym">↻</span>
<span>Step ⑤ output feeds back to step ① — each cycle the system is strictly better. <strong style="color:var(--amber)">Not a promise. A theorem (κ > 0).</strong></span>
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<!-- Method comparison -->
<div style="margin-top:24px">
<div class="s-title" style="font-size:16px"><span class="s-dot" style="background:var(--blue)"></span>Method comparison</div>
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<div class="method-grid">
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<div class="method-name">Distillation</div>
<div class="method-val">Teacher→Student<br/>DeepSeek style</div>
<div class="method-star">★★★★☆</div>
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<div class="method-col rec">
<div class="method-name" style="color:var(--amber)">Self-Play ⭐</div>
<div class="method-val">Generate→Fix<br/>AlphaGo style</div>
<div class="method-star">★★★★★</div>
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<div class="method-name">EvolveR</div>
<div class="method-val">Experience→Principle<br/>Reflect + RL</div>
<div class="method-star">★★★★☆</div>
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<div class="method-col">
<div class="method-name">SDPO</div>
<div class="method-val">Self-teach<br/>No reward model</div>
<div class="method-star">★★★★☆</div>
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<div class="method-col">
<div class="method-name">GVU</div>
<div class="method-val">Math proof<br/>κ > 0 theorem</div>
<div class="method-star">★★★☆☆</div>
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</div>
<div style="font-size:10px;color:var(--text-dim);text-align:center;margin-top:4px">Stars = fit for Helix. We combine all five — not pick one.</div>
<!-- Implementation timeline -->
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<div class="s-title" style="font-size:16px"><span class="s-dot" style="background:var(--green)"></span>Implementation timeline</div>
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<div class="impl-phase">
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<div class="impl-time">v1.5 ✓</div>
<div class="impl-name" style="color:var(--green)">MemRL</div>
<div class="impl-cap">Gene Map Q-value</div>
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<div class="impl-bar" style="width:50%;background:var(--amber)"></div>
<div class="impl-time">Q2 2026</div>
<div class="impl-name" style="color:var(--amber)">EvolveR</div>
<div class="impl-cap">Experience distill</div>
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<div class="impl-phase">
<div class="impl-bar" style="width:15%;background:var(--blue)"></div>
<div class="impl-time">Q3 2026</div>
<div class="impl-name" style="color:var(--blue)">Self-Play</div>
<div class="impl-cap">24/7 auto-evolve</div>
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<div class="impl-phase">
<div class="impl-bar" style="width:0%;background:var(--purple)"></div>
<div class="impl-time">Q4 2026</div>
<div class="impl-name" style="color:var(--purple)">SDPO</div>
<div class="impl-cap">Self-distillation</div>
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<div class="impl-phase">
<div class="impl-bar" style="width:0%;background:var(--red)"></div>
<div class="impl-time">2027</div>
<div class="impl-name" style="color:var(--red)">Full loop</div>
<div class="impl-cap">κ > 0 recursive</div>
</div>
</div>
<!-- Self-Evolution Engine -->
<section class="section" id="self-evolution">
<div class="s-header">
<div class="s-title"><span class="s-dot pulse" style="background:var(--purple)"></span>Self-Evolution Engine</div>
<div class="s-sub">Helix doesn't just heal agents — it heals itself. Five research methods form a recursive improvement loop.</div>
</div>
<div style="display:flex;justify-content:center;padding:1rem 0">
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<div style="position:absolute;inset:45px;border-radius:50%;border:0.5px solid rgba(96,165,250,.15);animation:spin 10s linear infinite"></div>
<div style="position:absolute;inset:60px;border-radius:50%;background:radial-gradient(circle,rgba(167,139,250,.1),transparent 70%);display:flex;align-items:center;justify-content:center;animation:breathe 4s infinite">
<div style="text-align:center"><strong style="font-size:16px;display:block;background:linear-gradient(135deg,var(--purple),var(--amber));-webkit-background-clip:text;-webkit-text-fill-color:transparent">κ > 0</strong><span style="font-size:8px;font-family:var(--mono);color:var(--text-dim);letter-spacing:1px">RECURSIVE</span></div>
</div>
<div style="position:absolute;width:8px;height:8px;border-radius:50%;background:var(--purple);top:50%;left:50%;margin:-4px;animation:orbit1 8s linear infinite;box-shadow:0 0 12px rgba(167,139,250,.5)"></div>
<div style="position:absolute;width:7px;height:7px;border-radius:50%;background:var(--amber);top:50%;left:50%;margin:-3.5px;animation:orbit2 8s linear infinite;box-shadow:0 0 10px rgba(240,160,48,.5)"></div>
<div style="position:absolute;width:6px;height:6px;border-radius:50%;background:var(--blue);top:50%;left:50%;margin:-3px;animation:orbit3 8s linear infinite;box-shadow:0 0 8px rgba(96,165,250,.5)"></div>
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<div style="background:var(--surface);border-radius:8px;padding:10px;text-align:center;border:1px solid var(--purple-border)">
<div style="font-size:14px;margin-bottom:4px">🧠</div>
<div style="font-size:11px;font-weight:600;color:var(--purple)">MemRL</div>
<div style="font-size:9px;color:var(--text-dim);margin-top:2px">Memory learn</div>
<div style="font-size:9px;margin-top:4px;color:var(--green);font-family:var(--mono)">✓ shipped</div>
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<div style="background:var(--surface);border-radius:8px;padding:10px;text-align:center;border:1px solid var(--amber-border)">
<div style="font-size:14px;margin-bottom:4px">⚗️</div>
<div style="font-size:11px;font-weight:600;color:var(--amber)">EvolveR</div>
<div style="font-size:9px;color:var(--text-dim);margin-top:2px">Distill knowledge</div>
<div style="font-size:9px;margin-top:4px;color:var(--amber);font-family:var(--mono)">Q2 2026</div>
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<div style="background:var(--surface);border-radius:8px;padding:10px;text-align:center;border:1px solid var(--blue-border)">
<div style="font-size:14px;margin-bottom:4px">⚔️</div>
<div style="font-size:11px;font-weight:600;color:var(--blue)">Self-Play</div>
<div style="font-size:9px;color:var(--text-dim);margin-top:2px">Auto-evolve</div>
<div style="font-size:9px;margin-top:4px;color:var(--blue);font-family:var(--mono)">Q3 2026</div>
</div>
<div style="background:var(--surface);border-radius:8px;padding:10px;text-align:center;border:1px solid var(--green-border);opacity:.7">
<div style="font-size:14px;margin-bottom:4px">🔄</div>
<div style="font-size:11px;font-weight:600;color:var(--green)">SDPO</div>
<div style="font-size:9px;color:var(--text-dim);margin-top:2px">Self-teach</div>
<div style="font-size:9px;margin-top:4px;color:var(--text-dim);font-family:var(--mono)">Q4 2026</div>
</div>
<div style="background:var(--surface);border-radius:8px;padding:10px;text-align:center;border:1px solid var(--red-border);opacity:.6">
<div style="font-size:14px;margin-bottom:4px">∞</div>
<div style="font-size:11px;font-weight:600;color:var(--red)">GVU Loop</div>
<div style="font-size:9px;color:var(--text-dim);margin-top:2px">Full recursive</div>
<div style="font-size:9px;margin-top:4px;color:var(--text-dim);font-family:var(--mono)">2027</div>
</div>
</div>
<div style="background:var(--surface);border-radius:10px;padding:12px 16px;margin-top:12px;border:1px dashed var(--border);display:flex;align-items:center;gap:12px;font-size:12px;animation:glow 4s infinite">
<span style="font-family:var(--mono);color:var(--amber);font-size:14px;animation:pulse 2s infinite">↻</span>
<span style="color:var(--text-dim)">Each cycle → strictly better. 4 arXiv papers validate every step. <a href="research.html" style="color:var(--purple);text-decoration:none;font-weight:600">Read the full trade-off analysis →</a></span>
</div>
</section>
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