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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1">
<title>FinePrint — Policy Drift Detection RL Environment</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700;800;900&family=JetBrains+Mono:wght@400;500;600&display=swap" rel="stylesheet">
<style>
:root{
  --bg:#fafbfc;--card:#fff;--border:#e6e9ef;--border-h:#cdd3dc;
  --text:#0d1117;--text2:#57606a;--text3:#8b949e;
  --accent:#1a56db;--accent-l:#dbeafe;--accent-d:#1e40af;
  --green:#059669;--green-bg:#ecfdf5;--green-b:#a7f3d0;
  --amber:#d97706;--amber-bg:#fffbeb;--amber-b:#fde68a;
  --red:#dc2626;--red-bg:#fef2f2;--red-b:#fecaca;
  --mono:'JetBrains Mono',ui-monospace,monospace;
  --sans:'Inter',-apple-system,BlinkMacSystemFont,sans-serif;
  --r:14px;--rs:10px;
  --sh:0 1px 3px rgba(0,0,0,.05),0 1px 2px rgba(0,0,0,.03);
  --sh-md:0 4px 12px rgba(0,0,0,.06);
  --sh-lg:0 12px 32px rgba(0,0,0,.08);
  --t:180ms ease;
}
*{margin:0;padding:0;box-sizing:border-box}
html{scroll-behavior:smooth}
body{font-family:var(--sans);background:var(--bg);color:var(--text);line-height:1.6;-webkit-font-smoothing:antialiased}
a{color:var(--accent);text-decoration:none}
a:hover{text-decoration:underline}
code{font-family:var(--mono);font-size:.82em;background:#f0f3f6;padding:2px 6px;border-radius:5px}
img{max-width:100%}

/* NAV */
nav{position:sticky;top:0;z-index:100;background:rgba(250,251,252,.88);backdrop-filter:blur(16px);border-bottom:1px solid var(--border)}
.nav-inner{max-width:1140px;margin:0 auto;padding:0 24px;height:52px;display:flex;align-items:center}
.brand{font-weight:900;font-size:1.15rem;color:var(--text);letter-spacing:-.02em}
.nav-r{margin-left:auto;display:flex;align-items:center;gap:4px}
.nav-r a{font-size:12.5px;font-weight:500;color:var(--text2);padding:5px 10px;border-radius:6px;transition:all var(--t);text-decoration:none}
.nav-r a:hover{background:#f0f3f6;color:var(--text)}


/* HERO */
.hero{max-width:1140px;margin:0 auto;padding:64px 24px 0;display:grid;grid-template-columns:1fr 1fr;gap:40px;align-items:center}
@media(max-width:860px){.hero{grid-template-columns:1fr;gap:24px}}
.hero-left{}
.hero-kicker{display:inline-flex;align-items:center;gap:6px;font-size:12px;font-weight:600;color:var(--accent);background:var(--accent-l);padding:5px 14px;border-radius:20px;margin-bottom:20px;letter-spacing:.2px}
.hero h1{font-size:clamp(2rem,5vw,3.2rem);font-weight:900;letter-spacing:-.035em;line-height:1.1;max-width:720px}
.hero h1 em{font-style:normal;background:linear-gradient(135deg,#1a56db,#3b82f6);-webkit-background-clip:text;-webkit-text-fill-color:transparent}
.hero-sub{margin-top:16px;font-size:1.1rem;color:var(--text2);max-width:600px;line-height:1.7}
.hero-quote{margin-top:28px;border-left:3px solid var(--red);padding:12px 20px;background:var(--red-bg);border-radius:0 var(--rs) var(--rs) 0;max-width:580px}
.hero-quote p{font-size:.92rem;color:var(--red);font-style:italic;line-height:1.55}
.hero-quote cite{display:block;font-size:.78rem;color:var(--text3);font-style:normal;margin-top:4px}
.hero-cta{margin-top:28px;display:flex;gap:10px;flex-wrap:wrap}
/* HERO TERMINAL */
.hero-terminal{background:#0d1117;border-radius:12px;overflow:hidden;box-shadow:0 20px 60px rgba(0,0,0,.18);border:1px solid #30363d;position:relative}
.hero-terminal::before{content:'';position:absolute;top:0;left:0;right:0;height:1px;background:linear-gradient(90deg,transparent,rgba(88,166,255,.3),transparent)}
.term-bar{height:36px;background:#161b22;display:flex;align-items:center;gap:6px;padding:0 14px;border-bottom:1px solid #21262d}
.term-dot{width:10px;height:10px;border-radius:50%}
.term-dot.r{background:#ff5f57}.term-dot.y{background:#febc2e}.term-dot.g{background:#28c840}
.term-title{margin-left:8px;font-family:var(--mono);font-size:11px;color:#484f58}
.term-body{padding:16px;font-family:var(--mono);font-size:12.5px;line-height:2;color:#c9d1d9;min-height:280px}
.term-body .t-prompt{color:#8b949e}
.term-body .t-cmd{color:#79c0ff}
.term-body .t-ok{color:#7ee787}
.term-body .t-warn{color:#d29922}
.term-body .t-err{color:#ff7b72}
.term-body .t-dim{color:#484f58}
.term-body .t-val{color:#a5d6ff}
.term-body .t-rew{color:#d2a8ff}
.term-line{opacity:0;animation:termReveal .3s forwards}
@keyframes termReveal{to{opacity:1}}
.cursor-blink{display:inline-block;width:8px;height:15px;background:#58a6ff;animation:curBlink 1s step-end infinite;vertical-align:middle;margin-left:2px}
@keyframes curBlink{0%,100%{opacity:1}50%{opacity:0}}
.btn{display:inline-flex;align-items:center;gap:6px;font-family:var(--sans);font-size:13px;font-weight:600;padding:10px 22px;border-radius:8px;border:none;cursor:pointer;transition:all var(--t);text-decoration:none}
.btn:hover{text-decoration:none;transform:translateY(-1px)}
.btn-p{background:var(--text);color:#fff;box-shadow:var(--sh)}
.btn-p:hover{background:#333;box-shadow:var(--sh-md)}
.btn-s{background:var(--card);color:var(--text);border:1px solid var(--border);box-shadow:var(--sh)}
.btn-s:hover{border-color:var(--border-h);background:#f8f9fb}
.btn-ghost{background:transparent;color:var(--accent);padding:10px 14px}
.btn-ghost:hover{background:var(--accent-l)}

/* PROBLEM SECTION */
.problem{max-width:1140px;margin:0 auto;padding:72px 24px 0}
.problem-grid{display:grid;grid-template-columns:repeat(3,1fr);gap:16px;margin-top:20px}
@media(max-width:768px){.problem-grid{grid-template-columns:1fr}}
.problem-card{background:var(--card);border:1px solid var(--border);border-radius:var(--r);padding:24px;box-shadow:var(--sh);transition:all var(--t)}
.problem-card:hover{box-shadow:var(--sh-md);transform:translateY(-2px)}
.pc-icon{width:40px;height:40px;border-radius:10px;display:flex;align-items:center;justify-content:center;font-size:18px;margin-bottom:14px}
.pc-icon-red{background:var(--red-bg);color:var(--red)}
.pc-icon-amber{background:var(--amber-bg);color:var(--amber)}
.pc-icon-blue{background:var(--accent-l);color:var(--accent)}
.problem-card h3{font-size:.92rem;font-weight:700;margin-bottom:6px}
.problem-card p{font-size:.84rem;color:var(--text2);line-height:1.55}
.problem-stat{margin-top:12px;font-family:var(--mono);font-size:1.4rem;font-weight:700}
.problem-stat.red{color:var(--red)}
.problem-stat.amber{color:var(--amber)}
.problem-stat.blue{color:var(--accent)}

/* SECTION COMMON */
.sec{max-width:1140px;margin:0 auto;padding:64px 24px 0}
.sec-label{font-size:11px;font-weight:700;color:var(--text3);text-transform:uppercase;letter-spacing:.12em;margin-bottom:6px}
.sec-title{font-size:1.6rem;font-weight:800;letter-spacing:-.025em;margin-bottom:6px}
.sec-desc{font-size:.92rem;color:var(--text2);max-width:540px;margin-bottom:20px}

/* HOW IT WORKS - TIMELINE */
.timeline{position:relative;padding-left:32px}
.timeline::before{content:'';position:absolute;left:11px;top:8px;bottom:8px;width:2px;background:var(--border)}
.tl-step{position:relative;padding-bottom:28px}
.tl-step:last-child{padding-bottom:0}
.tl-dot{position:absolute;left:-32px;top:2px;width:22px;height:22px;border-radius:50%;border:2px solid var(--border);background:var(--card);display:flex;align-items:center;justify-content:center;font-size:10px;font-weight:700;color:var(--text2)}
.tl-step.active .tl-dot{border-color:var(--accent);background:var(--accent);color:#fff}
.tl-step.danger .tl-dot{border-color:var(--red);background:var(--red);color:#fff}
.tl-content h4{font-size:.88rem;font-weight:700;margin-bottom:3px}
.tl-content p{font-size:.82rem;color:var(--text2);line-height:1.5}
.tl-code{margin-top:8px;background:#0d1117;border-radius:var(--rs);padding:12px 16px;font-family:var(--mono);font-size:.76rem;color:#c9d1d9;line-height:1.6;overflow-x:auto}
.tl-code .kw{color:#ff7b72}.tl-code .str{color:#a5d6ff}.tl-code .cm{color:#8b949e}.tl-code .fn{color:#d2a8ff}.tl-code .num{color:#79c0ff}

/* TASKS */
.tasks-grid{display:grid;grid-template-columns:repeat(3,1fr);gap:14px}
@media(max-width:768px){.tasks-grid{grid-template-columns:1fr}}
.task-card{background:var(--card);border:1px solid var(--border);border-radius:var(--r);overflow:hidden;box-shadow:var(--sh);transition:all var(--t)}
.task-card:hover{box-shadow:var(--sh-md);transform:translateY(-2px)}
.task-bar{height:3px}
.task-bar.easy{background:var(--green)}.task-bar.med{background:var(--amber)}.task-bar.hard{background:var(--red)}
.task-body{padding:20px}
.task-top{display:flex;justify-content:space-between;align-items:center;margin-bottom:10px}
.task-name{font-family:var(--mono);font-weight:600;font-size:.88rem}
.badge{font-size:10px;font-weight:700;padding:3px 9px;border-radius:4px;text-transform:uppercase;letter-spacing:.4px}
.b-easy{color:var(--green);background:var(--green-bg)}.b-med{color:var(--amber);background:var(--amber-bg)}.b-hard{color:var(--red);background:var(--red-bg)}
.task-desc{font-size:.82rem;color:var(--text2);line-height:1.5;margin-bottom:12px}
.task-chips{display:flex;gap:6px;flex-wrap:wrap}
.chip{font-size:10.5px;font-weight:500;color:var(--text3);background:var(--bg);border:1px solid var(--border);padding:3px 8px;border-radius:4px}

/* CHART */
.chart-card{background:var(--card);border:1px solid var(--border);border-radius:var(--r);padding:24px;box-shadow:var(--sh)}
.chart-head{display:flex;justify-content:space-between;align-items:baseline;margin-bottom:4px}
.chart-t{font-weight:700;font-size:1rem}.chart-s{font-size:12px;color:var(--text3);font-family:var(--mono)}
canvas{width:100%!important;height:280px!important}
.chart-legend{display:flex;gap:18px;margin-top:10px}
.leg{display:flex;align-items:center;gap:6px;font-size:12px;color:var(--text2)}
.leg-line{width:12px;height:3px;border-radius:2px}

/* DRIFT TABLE */
.drift-card{background:var(--card);border:1px solid var(--border);border-radius:var(--r);overflow:hidden;box-shadow:var(--sh)}
.drift-table{width:100%;border-collapse:collapse}
.drift-table th{text-align:left;padding:10px 16px;background:var(--bg);font-size:11px;font-weight:700;color:var(--text3);text-transform:uppercase;letter-spacing:.06em;border-bottom:1px solid var(--border)}
.drift-table td{padding:10px 16px;font-size:.82rem;border-bottom:1px solid #f3f5f7}
.drift-table tr:last-child td{border-bottom:none}
.drift-table tr:hover td{background:#f8f9fb}
.sev{font-size:10px;font-weight:700;padding:2px 7px;border-radius:3px;text-transform:uppercase}
.sev-high{color:var(--red);background:var(--red-bg)}.sev-med{color:var(--amber);background:var(--amber-bg)}.sev-crit{color:#7c2d12;background:#fff7ed}

/* COMPARISON */
.cmp-grid{display:grid;grid-template-columns:1fr 1fr;gap:14px}
@media(max-width:640px){.cmp-grid{grid-template-columns:1fr}}
.cmp-card{background:var(--card);border:1px solid var(--border);border-radius:var(--r);padding:20px;box-shadow:var(--sh);transition:all var(--t)}
.cmp-card:hover{box-shadow:var(--sh-md)}
.cmp-card.highlight{border-color:#93c5fd}
.cmp-hdr{display:flex;align-items:center;gap:8px;margin-bottom:14px}
.cmp-hdr h4{font-size:.88rem;font-weight:700}
.cmp-tag{font-size:10px;font-weight:600;padding:2px 8px;border-radius:4px}
.cmp-tag-b{color:var(--text3);background:#f0f3f6}.cmp-tag-t{color:var(--accent);background:var(--accent-l)}
.cmp-row{display:flex;justify-content:space-between;padding:7px 0;border-bottom:1px solid #f3f5f7;font-size:.84rem}
.cmp-row:last-child{border-bottom:none}
.cmp-l{color:var(--text2)}.cmp-v{font-weight:600;font-family:var(--mono);font-size:.82rem}
.cmp-v.g{color:var(--green)}.cmp-v.n{color:var(--text)}

/* REWARD */
.rew-grid{display:grid;grid-template-columns:1fr 1fr;gap:14px}
@media(max-width:640px){.rew-grid{grid-template-columns:1fr}}
.rew-card{background:var(--card);border:1px solid var(--border);border-radius:var(--r);padding:20px;box-shadow:var(--sh)}
.rew-card h4{font-size:.88rem;font-weight:700;margin-bottom:10px}
.rr{display:flex;justify-content:space-between;padding:4px 0;font-size:.82rem}
.rv{font-weight:600;font-family:var(--mono)}.rv-p{color:var(--green)}.rv-n{color:var(--red)}
.swing{margin-top:20px;background:var(--card);border:1px solid var(--border);border-radius:var(--r);padding:20px;box-shadow:var(--sh);display:flex;align-items:center;gap:20px}
@media(max-width:640px){.swing{flex-direction:column;text-align:center}}
.swing-val{font-family:var(--mono);font-size:2.4rem;font-weight:800;background:linear-gradient(135deg,var(--green),var(--accent));-webkit-background-clip:text;-webkit-text-fill-color:transparent;flex-shrink:0}
.swing-text h4{font-size:.92rem;font-weight:700;margin-bottom:2px}
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/* ANIM */
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</style>
</head>
<body>

<!-- NAV -->
<nav>
<div class="nav-inner">
  <div class="brand">FinePrint</div>
  <div class="nav-r">
    <a href="#problem">Why</a>
    <a href="#how">How</a>
    <a href="#tasks">Tasks</a>
    <a href="#training">Results</a>
    <a href="#api">API</a>
    <a href="#demo">Demo</a>
    <a href="/blog">Blog</a>
    <a href="/docs">Docs</a>
  </div>
</div>
</nav>

<!-- HERO -->
<section class="hero">
  <div class="hero-left">
    <div class="hero-kicker">Meta PyTorch OpenEnv Hackathon &times; Scaler School of Technology</div>
    <h1>Your AI agent just quoted<br>a policy that changed<br><em>10 minutes ago.</em></h1>
    <p class="hero-sub">FinePrint is the first RL environment that trains language models to detect when their knowledge expires &mdash; before it costs your company a lawsuit.</p>
    <div class="hero-quote">
      <p>"The return window is 30 days!" &mdash; an AI agent, confidently citing a policy that changed to 14 days at 2 AM.</p>
      <cite>This happens every day in production. No existing benchmark tests for it.</cite>
    </div>
    <div class="hero-cta">
      <button class="btn btn-p" onclick="document.getElementById('demo').scrollIntoView({behavior:'smooth'})">Try Live Demo</button>
      <a href="/docs" class="btn btn-s">API Reference</a>
      <a href="#how" class="btn btn-ghost">How it works &darr;</a>
    </div>
  </div>
  <div class="hero-terminal" aria-label="Animated terminal demo">
    <div class="term-bar">
      <span class="term-dot r"></span><span class="term-dot y"></span><span class="term-dot g"></span>
      <span class="term-title">fineprint-env &mdash; drift detection</span>
    </div>
    <div class="term-body" id="heroTerm"></div>
  </div>
</section>

<!-- PROBLEM -->
<section class="problem reveal" id="problem">
  <div class="sec-label">The Problem</div>
  <div class="sec-title">Production LLMs assume static knowledge. Reality disagrees.</div>
  <div class="sec-desc">Policies, pricing, and terms change constantly. Your AI agent keeps quoting yesterday's rules with today's confidence.</div>
  <div class="problem-grid">
    <div class="problem-card">
      <div class="pc-icon pc-icon-red">&#9888;</div>
      <h3>Silent Drift</h3>
      <p>Policies change without notification. No API event, no webhook, no alert. The agent's cache silently becomes wrong.</p>
      <div class="problem-stat red">70%</div>
      <div style="font-size:.75rem;color:var(--text3);margin-top:2px">of drifts are completely silent</div>
    </div>
    <div class="problem-card">
      <div class="pc-icon pc-icon-amber">&#9878;</div>
      <h3>Legal Liability</h3>
      <p>A customer relies on your agent's quote. Ships a return on day 20 of a 14-day window. Who's liable? You are.</p>
      <div class="problem-stat amber">$0&rarr;$25</div>
      <div style="font-size:.75rem;color:var(--text3);margin-top:2px">cancellation fee that appeared overnight</div>
    </div>
    <div class="problem-card">
      <div class="pc-icon pc-icon-blue">&#128269;</div>
      <h3>No Benchmark</h3>
      <p>CartPole tests balance. Atari tests game skill. Nothing tests whether an AI knows when to stop trusting itself.</p>
      <div class="problem-stat blue">0</div>
      <div style="font-size:.75rem;color:var(--text3);margin-top:2px">existing RL envs that train drift detection</div>
    </div>
  </div>
</section>

<!-- HOW IT WORKS -->
<section class="sec reveal" id="how">
  <div class="sec-label">The Solution</div>
  <div class="sec-title">One decision changes everything.</div>
  <div class="sec-desc">FinePrint trains a single critical meta-skill: <strong>when to call <code>request_verification()</code></strong> &mdash; the binary decision that separates safe agents from dangerous ones.</div>
  <div class="timeline">
    <div class="tl-step">
      <div class="tl-dot">1</div>
      <div class="tl-content">
        <h4>Customer asks a policy question</h4>
        <p>"What's your return window? I bought this 20 days ago."</p>
      </div>
    </div>
    <div class="tl-step">
      <div class="tl-dot">2</div>
      <div class="tl-content">
        <h4>Agent checks its cached knowledge</h4>
        <p>Cache says <code>return.window_days = 30</code>. But when was this last verified?</p>
        <div class="tl-code"><span class="cm">// Agent's internal state</span>
<span class="str">"cached_policies"</span>: { <span class="str">"return.window_days"</span>: <span class="num">30</span> }
<span class="str">"steps_since_last_verify"</span>: <span class="num">7</span>  <span class="cm">// &larr; stale!</span></div>
      </div>
    </div>
    <div class="tl-step active">
      <div class="tl-dot">&#10003;</div>
      <div class="tl-content">
        <h4>Trained agent calls <code>request_verification()</code></h4>
        <p>The model learned that 7 steps without verification + a policy-sensitive question = time to check. It refreshes its cache and discovers the policy changed.</p>
        <div class="tl-code"><span class="fn">request_verification</span>()  <span class="cm">// +3.0 reward for timely detection</span>
<span class="cm">// Cache updated: return.window_days = 30 &rarr; 14</span></div>
      </div>
    </div>
    <div class="tl-step">
      <div class="tl-dot">4</div>
      <div class="tl-content">
        <h4>Agent quotes the correct, current value</h4>
        <p>"Our return window is 14 days." &mdash; Correct. Compliant. No lawsuit.</p>
        <div class="tl-code"><span class="fn">quote_policy</span>(<span class="str">"return.window_days"</span>, <span class="str">"14"</span>)  <span class="cm">// +10.0 reward</span></div>
      </div>
    </div>
    <div class="tl-step danger">
      <div class="tl-dot">&#10007;</div>
      <div class="tl-content">
        <h4>Without training: agent quotes stale value</h4>
        <p>"Our return window is 30 days!" &mdash; Wrong. The customer ships on day 20. Denied. Complaint filed.</p>
        <div class="tl-code"><span class="fn">quote_policy</span>(<span class="str">"return.window_days"</span>, <span class="str">"30"</span>)  <span class="cm">// -8.0 stale penalty</span>
<span class="cm">// User satisfaction drops &rarr; -5.0 complaint penalty</span></div>
      </div>
    </div>
  </div>
</section>

<!-- RAG COMPARISON -->
<section class="sec reveal" id="vs">
  <div class="sec-label">But wait&hellip;</div>
  <div class="sec-title">&ldquo;Can&rsquo;t RAG just fix this?&rdquo;</div>
  <div class="sec-desc">Sure. And a smoke detector can cook dinner. Here&rsquo;s the thing:</div>
  <div class="vs-grid">
    <div class="vs-card vs-rag">
      <div class="vs-hdr"><h4>RAG</h4><span class="vs-verdict">retrieves everything, questions nothing</span></div>
      <ul class="vs-list">
        <li><span class="vs-x">&#10007;</span><span>Doesn&rsquo;t know <em>when</em> to retrieve &mdash; fetches every time or never</span></li>
        <li><span class="vs-x">&#10007;</span><span>Treats a typo fix and a return-window halving identically</span></li>
        <li><span class="vs-x">&#10007;</span><span>If the retriever returns stale chunks, the model quotes them <em>confidently</em></span></li>
        <li><span class="vs-x">&#10007;</span><span>Reactive only &mdash; never says &ldquo;wait, let me double-check&rdquo;</span></li>
      </ul>
    </div>
    <div class="vs-card vs-agent">
      <div class="vs-hdr"><h4>Agentic Workflows</h4><span class="vs-verdict">has tools, no idea when to use them</span></div>
      <ul class="vs-list">
        <li><span class="vs-x">&#10007;</span><span>Tool availability &ne; tool wisdom</span></li>
        <li><span class="vs-x">&#10007;</span><span>No reward signal for verifying at the right moment</span></li>
        <li><span class="vs-x">&#10007;</span><span>Hardcoded <code>if steps &gt; 5: verify()</code> is a heuristic, not intelligence</span></li>
        <li><span class="vs-x">&#10007;</span><span>Zero benchmarks to measure verification timing</span></li>
      </ul>
    </div>
    <div class="vs-card vs-fp">
      <div class="vs-hdr"><h4>FinePrint</h4><span class="vs-verdict vs-win">trains the judgment they both lack</span></div>
      <ul class="vs-list">
        <li><span class="vs-ok">&#10003;</span><span>Learns <em>when</em> to call <code>request_verification()</code> via RL rewards</span></li>
        <li><span class="vs-ok">&#10003;</span><span>-8.0 penalty for stale quotes &mdash; the model <em>feels</em> the cost of being wrong</span></li>
        <li><span class="vs-ok">&#10003;</span><span>+3.0 for timely detection &mdash; develops urgency, not just access</span></li>
        <li><span class="vs-ok">&#10003;</span><span>Works <em>with</em> RAG &amp; agents &mdash; trains the meta-skill they&rsquo;re missing</span></li>
      </ul>
    </div>
  </div>
  <p class="vs-punchline">RAG solves <strong>access</strong>. Agents solve <strong>tools</strong>. FinePrint solves <strong>judgment</strong>. &mdash; The part where your model decides &ldquo;I should probably not trust myself right now.&rdquo;</p>
</section>

<!-- TASKS -->
<section class="sec reveal" id="tasks">
  <div class="sec-label">Graded Tasks</div>
  <div class="sec-title">Three levels. Increasing chaos.</div>
  <div class="sec-desc">From static quoting to adversarial multi-version silent drift. Can your agent handle the storm?</div>
  <div class="tasks-grid">
    <div class="task-card"><div class="task-bar easy"></div><div class="task-body">
      <div class="task-top"><span class="task-name">quote_accuracy</span><span class="badge b-easy">Easy</span></div>
      <p class="task-desc">Handle <code>shop</code> and <code>return</code> workflows. Quote policies correctly. No drift &mdash; just comprehension.</p>
      <div class="task-chips"><span class="chip">2 workflows</span><span class="chip">20 steps</span><span class="chip">0% drift</span></div>
    </div></div>
    <div class="task-card"><div class="task-bar med"></div><div class="task-body">
      <div class="task-top"><span class="task-name">drift_detection</span><span class="badge b-med">Medium</span></div>
      <p class="task-desc">Navigate 3 workflows while policies silently change. Detect drifts, adapt quotes, maintain compliance.</p>
      <div class="task-chips"><span class="chip">3 workflows</span><span class="chip">30 steps</span><span class="chip">30% drift</span><span class="chip">50% silent</span></div>
    </div></div>
    <div class="task-card"><div class="task-bar hard"></div><div class="task-body">
      <div class="task-top"><span class="task-name">compliance_storm</span><span class="badge b-hard">Hard</span></div>
      <p class="task-desc">All 5 workflows under aggressive drift across 8 policy versions. CRITICAL scope changes lurk in the noise.</p>
      <div class="task-chips"><span class="chip">5 workflows</span><span class="chip">45 steps</span><span class="chip">50% drift</span><span class="chip">80% silent</span></div>
    </div></div>
  </div>
</section>

<!-- POLICY DRIFT TABLE -->
<section class="sec reveal">
  <div class="sec-label">Policy Drift Engine</div>
  <div class="sec-title">8 versions. Each one breaks something.</div>
  <div class="sec-desc">Policies evolve via delta merging. Each version overrides specific fields from the base while inheriting the rest.</div>
  <div class="drift-card">
    <table class="drift-table">
      <thead><tr><th>Version</th><th>Change</th><th>Severity</th><th>Example</th></tr></thead>
      <tbody>
        <tr><td><code>v1_base</code></td><td>Baseline policies</td><td>&mdash;</td><td>Return: 30 days, free ship $50</td></tr>
        <tr><td><code>v2</code></td><td>Return policy tightened</td><td><span class="sev sev-high">HIGH</span></td><td>Window: 30 &rarr; 14 days</td></tr>
        <tr><td><code>v3</code></td><td>Shipping raised</td><td><span class="sev sev-med">MEDIUM</span></td><td>Free threshold: $50 &rarr; $75</td></tr>
        <tr><td><code>v4</code></td><td>Auto-renewal mandatory</td><td><span class="sev sev-high">HIGH</span></td><td>auto_renewal: false &rarr; true</td></tr>
        <tr><td><code>v5</code></td><td>Cancel fee introduced</td><td><span class="sev sev-med">MEDIUM</span></td><td>Fee: $0 &rarr; $25</td></tr>
        <tr><td><code>v6</code></td><td>Compensation slashed</td><td><span class="sev sev-high">HIGH</span></td><td>Max comp: $200 &rarr; $50</td></tr>
        <tr><td><code>v7</code></td><td>Scope narrowed</td><td><span class="sev sev-crit">CRITICAL</span></td><td>Electronics returns: eliminated</td></tr>
        <tr><td><code>v8</code></td><td>Pricing restructured</td><td><span class="sev sev-med">MEDIUM</span></td><td>Tax included, bulk discount gone</td></tr>
      </tbody>
    </table>
  </div>
</section>

<!-- TRAINING CHART -->
<section class="sec reveal" id="training">
  <div class="sec-label">Training Results</div>
  <div class="sec-title">From &minus;11 to +8.75 in 80 episodes.</div>
  <div class="sec-desc">GRPO fine-tuning on Qwen2.5-1.5B-Instruct with LoRA. The model learns when to verify and when to act.</div>
  <div class="chart-card">
    <div class="chart-head"><span class="chart-t">Avg Reward per Update</span><span class="chart-s">80 ep &middot; 20 updates &middot; LoRA r=16</span></div>
    <canvas id="trainChart"></canvas>
    <div class="chart-legend">
      <div class="leg"><span class="leg-line" style="background:var(--accent)"></span>Avg Reward</div>
      <div class="leg"><span class="leg-line" style="background:var(--green)"></span>Entropy</div>
      <div class="leg"><span class="leg-line" style="background:#e5e7eb;height:1px;width:16px"></span>Zero line</div>
    </div>
  </div>
</section>

<!-- COMPARISON -->
<section class="sec reveal">
  <div class="sec-label">Before &amp; After</div>
  <div class="sec-title">Baseline vs trained model.</div>
  <div class="cmp-grid">
    <div class="cmp-card">
      <div class="cmp-hdr"><h4>Heuristic Baseline</h4><span class="cmp-tag cmp-tag-b">rule-based</span></div>
      <div class="cmp-row"><span class="cmp-l">Avg Reward</span><span class="cmp-v n">144.2 &plusmn; 20.7</span></div>
      <div class="cmp-row"><span class="cmp-l">Drift Detections / Ep</span><span class="cmp-v n">4.5</span></div>
      <div class="cmp-row"><span class="cmp-l">Compliance Failure Rate</span><span class="cmp-v n">30%</span></div>
      <div class="cmp-row"><span class="cmp-l">Workflows Completed</span><span class="cmp-v n">4.0 / 5</span></div>
      <div class="cmp-row"><span class="cmp-l">User Satisfaction</span><span class="cmp-v n">91%</span></div>
    </div>
    <div class="cmp-card highlight">
      <div class="cmp-hdr"><h4>Trained Model</h4><span class="cmp-tag cmp-tag-t">GRPO, 80 ep</span></div>
      <div class="cmp-row"><span class="cmp-l">Avg Reward (peak)</span><span class="cmp-v g">+8.75</span></div>
      <div class="cmp-row"><span class="cmp-l">Drift Detections / Ep</span><span class="cmp-v n">1.4</span></div>
      <div class="cmp-row"><span class="cmp-l">Compliance Failure Rate</span><span class="cmp-v g">0%</span></div>
      <div class="cmp-row"><span class="cmp-l">Valid Samples</span><span class="cmp-v g">81 &rarr; 106</span></div>
      <div class="cmp-row"><span class="cmp-l">Entropy (stable)</span><span class="cmp-v g">1.15 &rarr; 1.22</span></div>
    </div>
  </div>
</section>

<!-- REWARD -->
<section class="sec reveal">
  <div class="sec-label">Reward Design</div>
  <div class="sec-title">The 26-point swing.</div>
  <div class="sec-desc">A single policy-sensitive step can yield +13 (verify &rarr; detect &rarr; correct quote) or &minus;13 (skip &rarr; stale quote &rarr; complaint). This gap is what drives learning.</div>
  <div class="swing">
    <div class="swing-val">26pt</div>
    <div class="swing-text">
      <h4>Best case vs worst case per step</h4>
      <p>+3 (detect) +10 (correct quote) = <strong>+13</strong> &nbsp;vs&nbsp; &minus;8 (stale) &minus;5 (complaint) = <strong>&minus;13</strong></p>
    </div>
  </div>
  <div class="rew-grid" style="margin-top:14px">
    <div class="rew-card">
      <h4>Rewards</h4>
      <div class="rr"><span>Correct quote</span><span class="rv rv-p">+10.0</span></div>
      <div class="rr"><span>Timely drift detection</span><span class="rv rv-p">+3.0</span></div>
      <div class="rr"><span>Late drift detection</span><span class="rv rv-p">+1.0</span></div>
      <div class="rr"><span>Freshness bonus</span><span class="rv rv-p">+1.0</span></div>
      <div class="rr"><span>High satisfaction</span><span class="rv rv-p">+2.0</span></div>
      <div class="rr"><span>Clean episode (terminal)</span><span class="rv rv-p">+20.0</span></div>
    </div>
    <div class="rew-card">
      <h4>Penalties</h4>
      <div class="rr"><span>Stale policy cited</span><span class="rv rv-n">-8.0</span></div>
      <div class="rr"><span>User complaint</span><span class="rv rv-n">-5.0</span></div>
      <div class="rr"><span>Incorrect value</span><span class="rv rv-n">-4.0</span></div>
      <div class="rr"><span>Unnecessary escalation</span><span class="rv rv-n">-4.0</span></div>
      <div class="rr"><span>Unnecessary abort</span><span class="rv rv-n">-3.0</span></div>
      <div class="rr"><span>Compliance failure (terminal)</span><span class="rv rv-n">-30.0</span></div>
    </div>
  </div>
</section>

<!-- API -->
<section class="sec reveal" id="api">
  <div class="sec-label">API</div>
  <div class="sec-title">OpenEnv-compatible endpoints.</div>
  <div class="sec-desc">Standard REST API. Reset an episode, step through actions, check state. Full Swagger docs at <a href="/docs">/docs</a>.</div>
  <div class="api-card">
    <table class="api-t">
      <thead><tr><th style="width:80px">Method</th><th style="width:120px">Endpoint</th><th>Description</th></tr></thead>
      <tbody>
        <tr><td><span class="mb mb-g">GET</span></td><td class="api-ep">/health</td><td>Liveness / readiness probe</td></tr>
        <tr><td><span class="mb mb-p">POST</span></td><td class="api-ep">/reset</td><td>Start a new episode with a task</td></tr>
        <tr><td><span class="mb mb-p">POST</span></td><td class="api-ep">/step</td><td>Execute an agent action, get observation + reward</td></tr>
        <tr><td><span class="mb mb-g">GET</span></td><td class="api-ep">/state</td><td>Current episode metadata (step count, task, version)</td></tr>
        <tr><td><span class="mb mb-g">GET</span></td><td class="api-ep">/tasks</td><td>List available graded tasks</td></tr>
        <tr><td><span class="mb mb-g">GET</span></td><td class="api-ep"><a href="/docs">/docs</a></td><td>Interactive Swagger UI</td></tr>
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  <div class="sec-title">See it in action.</div>
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        <h4>Live Environment Interaction</h4>
        <p>Reset &rarr; view policies &rarr; quote a value &rarr; see the compliance check fire.</p>
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  <div class="sec-title">OpenEnv Spec v1 &mdash; fully compliant.</div>
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    <span class="spec-chip">&#10003; step(action)</span>
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    <span class="spec-chip">&#10003; state()</span>
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<!-- CTA -->
<div class="sec">
  <div class="cta-section">
    <h2>Train your agent to know<br>when to stop trusting itself.</h2>
    <p>FinePrint is open, free, and ready. Reset an episode, connect your model, and see if it survives the compliance storm.</p>
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<footer>
  <span>FinePrint-Env &mdash; Meta PyTorch OpenEnv Hackathon &times; Scaler School of Technology</span>
  <div style="display:flex;gap:14px"><a href="/docs">API Docs</a><a href="/health">Health</a></div>
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