avi33tbtt.github.io/ccos-builder.html at master · avi33tbtt/avi33tbtt.github.io · GitHub

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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>Vibe Rounds - CCOS Builder — Module Order Builder</title>
<meta name="description" content="CCOS Builder: tick clinical-reasoning prompt modules in the order you'd run them on a case, and get a plain-language read on the likely analytic yield of that pipeline.">
<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=Space+Grotesk:wght@400;500;600;700;800&family=DM+Mono:wght@400;500&family=Inter:wght@400;500;600;700;800&display=swap" rel="stylesheet">
<style>
html,body{margin:0;padding:0;background:#F7FAFB;}
/* ══════════════ CCOS BUILDER (scoped) ══════════════ */
#ccos-builder{
  --bg:#F7FAFB;
  --bg-soft:#F7FAFB;
  --ink:#0f172a;
  --ink-soft:#64748b;
  --border:#e2e8f0;
  --accent:#0891b2;
  --accent-dark:#0e7490;
  --accent-soft:#ecfeff;
  --tab1:#0891b2; /* clinical reasoning — cyan */
  --tab2:#d97706; /* patient advocacy — amber */
  --tab3:#7c3aed; /* analytics — violet */
  --tab4:#dc2626; /* safety — red */
  --tab5:#059669; /* education — emerald */
  --tab6:#b45309; /* operations — bronze */
  --tab7:#475569; /* meta — slate */
  --font: 'Inter', -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
  --font-head: 'Space Grotesk', -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
  --mono: 'DM Mono', "SFMono-Regular", Menlo, monospace;
}#ccos-builder *{box-sizing:border-box;}#ccos-builder{
  margin:0;
  background:var(--bg-soft);
  color:var(--ink);
  font-family:var(--font);
  font-size:16.5px;
  line-height:1.6;
  min-height:100vh;
  -webkit-font-smoothing:antialiased;
  -moz-osx-font-smoothing:grayscale;
}#ccos-builder .wrap{max-width:1180px;margin:0 auto;padding:40px 28px 90px;}#ccos-builder /* HEADER */
#ccos-builder header{
  display:flex; justify-content:space-between; align-items:flex-start; flex-wrap:wrap; gap:16px;
  padding-bottom:20px; margin-bottom:20px; border-bottom:1px solid var(--border);
}#ccos-builder header .title{
  font-family:var(--font-head); font-size:32px; letter-spacing:-0.02em; font-weight:700; color:var(--ink);
}#ccos-builder header .title small{
  display:block; font-family:var(--font); font-size:18px; letter-spacing:0.01em;
  color:var(--ink-soft); margin-top:10px; font-weight:500;
}#ccos-builder header .top-right{
  display:flex; flex-direction:column; align-items:flex-start; gap:8px;
}#ccos-builder .top-links{ display:flex; gap:8px; flex-wrap:wrap; justify-content:flex-start; font-family:var(--font); }
#ccos-builder .top-links a{
  display:inline-flex; align-items:center; gap:5px;
  font-size:12.5px; font-weight:700; color:var(--accent-dark);
  background:var(--accent-soft); border:1px solid var(--border);
  border-radius:999px; padding:6px 13px; text-decoration:none;
}#ccos-builder .top-links a:hover{ background:var(--accent); color:#fff; border-color:var(--accent); }
#ccos-builder .reqno{
  font-family:var(--mono); font-size:12.5px; color:var(--ink-soft); text-align:right; line-height:1.7;
}#ccos-builder .stamp{
  display:inline-block; border:1px solid var(--accent); color:var(--accent-dark);
  background:var(--accent-soft); font-family:var(--mono);
  padding:5px 12px; border-radius:20px; font-size:12px; letter-spacing:0.06em;
  margin-top:6px; font-weight:600;
}#ccos-builder .subline{
  font-size:16px; color:var(--ink-soft); margin:18px 0 24px; max-width:760px; line-height:1.65;
}#ccos-builder /* LAYOUT */
#ccos-builder .picker{
  border:1px solid var(--border); border-radius:16px; background:#fff;
  box-shadow:0 1px 2px rgba(15,23,42,0.04);
  padding:24px 26px 8px; margin-bottom:20px;
}#ccos-builder .picker h2{
  font-family:var(--font-head); font-size:18.5px; letter-spacing:-0.01em; font-weight:700;
  margin:0 0 4px; color:var(--ink);
}#ccos-builder .picker .sub{font-size:14px; color:var(--ink-soft); margin:8px 0 18px; line-height:1.5;}

/* CASE SELECTOR */
#ccos-builder .case-selector{
  border:1px solid var(--border); border-radius:16px; background:#fff;
  box-shadow:0 1px 2px rgba(15,23,42,0.04);
  padding:24px 26px 26px; margin-bottom:20px;
}#ccos-builder .case-selector h2{
  font-family:var(--font-head); font-size:18.5px; letter-spacing:-0.01em; font-weight:700;
  margin:0 0 4px; color:var(--ink);
}#ccos-builder .case-selector .sub{font-size:14px; color:var(--ink-soft); margin:8px 0 14px; line-height:1.5;}#ccos-builder .case-field{display:block; margin-bottom:12px;}#ccos-builder .case-field label{display:block; font-size:13px; font-weight:600; color:var(--ink-soft); margin-bottom:6px; letter-spacing:0.02em; text-transform:uppercase;}#ccos-builder .case-field textarea{
  width:100%; min-height:110px; font-family:var(--font); font-size:15px; line-height:1.6;
  padding:13px 15px; border:1px solid var(--border); border-radius:10px; background:var(--bg-soft); color:var(--ink);
  resize:vertical;
}#ccos-builder .case-field textarea:focus, #ccos-builder .case-field input:focus{outline:none; border-color:var(--accent); box-shadow:0 0 0 3px var(--accent-soft);}#ccos-builder .case-field input[type="url"]{
  width:100%; font-family:var(--mono); font-size:14px; padding:12px 15px;
  border:1px solid var(--border); border-radius:10px; background:var(--bg-soft); color:var(--ink);
}#ccos-builder .case-tag{
  display:inline-block; margin-top:11px; font-size:12px; font-weight:600;
  color:var(--accent-dark); background:var(--accent-soft); border-radius:20px; padding:4px 10px; letter-spacing:0.3px;
}#ccos-builder /* READYMADE PIPELINES */
#ccos-builder .presets{
  border:1px solid var(--border); border-radius:16px; background:#fff;
  box-shadow:0 1px 2px rgba(15,23,42,0.04);
  padding:24px 26px 26px; margin-bottom:20px;
}#ccos-builder .presets h2{font-family:var(--font-head); font-size:18.5px; letter-spacing:-0.01em; font-weight:700; margin:0 0 4px; color:var(--ink);}#ccos-builder .presets .sub{font-size:14px; color:var(--ink-soft); margin:8px 0 14px; line-height:1.5;}#ccos-builder .preset-tabbar{display:flex; flex-wrap:wrap; gap:7px; margin-bottom:16px;}#ccos-builder .preset-tabbtn{
  font-size:13.5px; font-weight:600; letter-spacing:0.01em;
  padding:8px 13px; border-radius:8px; border:1px solid var(--border); background:#fff; cursor:pointer;
  color:var(--ink-soft); transition:all 0.12s;
}#ccos-builder .preset-tabbtn .n{font-size:11.5px; opacity:0.65; font-weight:500; margin-left:3px;}#ccos-builder .preset-tabbtn.active{background:var(--ink); color:#fff; border-color:var(--ink);}#ccos-builder .preset-tabbtn:hover:not(.active){background:var(--bg-soft); border-color:var(--ink-soft);}#ccos-builder .preset-grid{display:grid; grid-template-columns:repeat(auto-fill, minmax(250px,1fr)); gap:12px;}#ccos-builder .preset-card{
  position:relative; text-align:left; border:1px solid var(--border); border-left:4px solid var(--preset-c, var(--accent));
  border-radius:12px; background:#fff;
  box-shadow:0 1px 2px rgba(15,23,42,0.04);
  padding:13px 14px 13px 16px; cursor:pointer; transition:all 0.15s;
}#ccos-builder .preset-card:hover{border-color:var(--preset-c, var(--accent)); border-left-color:var(--preset-c, var(--accent)); transform:translateY(-2px); box-shadow:0 10px 22px -14px rgba(15,23,42,0.35);}#ccos-builder .preset-card.active{border-color:var(--preset-c, var(--accent)); border-left-color:var(--preset-c, var(--accent)); background:var(--preset-c-soft, var(--accent-soft)); box-shadow:0 0 0 2px var(--preset-c, var(--accent)) inset;}#ccos-builder .preset-card .pcat{
  display:inline-block; font-size:11px; font-weight:700; letter-spacing:0.03em; text-transform:uppercase;
  color:var(--preset-c, var(--accent-dark)); background:var(--preset-c-soft, var(--accent-soft)); border-radius:20px; padding:2px 8px; margin-bottom:8px;
}#ccos-builder .preset-card.active .pcat{background:#fff;}#ccos-builder .preset-card .pname{font-family:var(--font-head); font-size:15.5px; font-weight:700; color:var(--ink); margin-bottom:4px; padding-right:52px;}#ccos-builder .preset-card .pdesc{font-size:13px; color:var(--ink-soft); line-height:1.5; margin-bottom:9px;}#ccos-builder .preset-card .pcount{
  display:inline-block; font-size:11px; font-weight:700; color:var(--ink-soft);
  background:var(--bg-soft); border-radius:20px; padding:3px 9px; letter-spacing:0.02em;
}#ccos-builder .preset-card.active .pcount{background:#fff; color:var(--preset-c, var(--accent-dark));}#ccos-builder .preset-card .pcheck{
  position:absolute; top:13px; right:13px; font-size:10.5px; font-weight:800; letter-spacing:0.03em; text-transform:uppercase;
  color:#fff; background:var(--preset-c, var(--accent)); border-radius:20px; padding:3px 9px;
  box-shadow:0 2px 5px -1px rgba(15,23,42,0.3);
}#ccos-builder /* TABS */
#ccos-builder .ccb-tabbar{display:flex; flex-wrap:wrap; gap:8px; margin-bottom:18px;}#ccos-builder .tabbtn{
  font-family:var(--font); font-size:14px; font-weight:600; letter-spacing:0.01em;
  padding:9px 14px; border-radius:9px; border:1px solid var(--border); background:#fff; cursor:pointer;
  color:var(--tab-color, var(--ink)); display:flex; align-items:center; gap:7px;
  transition:all 0.12s;
}#ccos-builder .tabbtn .n{font-size:12px; opacity:0.65; font-weight:500;}#ccos-builder .tabbtn.active{background:var(--tab-color, var(--ink)); color:#fff; border-color:var(--tab-color, var(--ink));}#ccos-builder .tabbtn:hover:not(.active){background:var(--bg-soft); border-color:var(--tab-color, var(--border));}#ccos-builder /* CATEGORY BLOCKS */
#ccos-builder .category{
  margin-bottom:22px; border:1px solid var(--border); border-radius:14px; background:#fff; overflow:hidden;
  box-shadow:0 1px 2px rgba(15,23,42,0.04);
}#ccos-builder .category-head{
  display:flex; align-items:center; gap:10px;
  padding:13px 18px; color:#fff;
  font-family:var(--font-head); font-size:14.5px; font-weight:700; letter-spacing:0.02em; text-transform:uppercase;
}#ccos-builder .category-head .n{opacity:0.8; font-size:12px; font-weight:500; text-transform:none;}#ccos-builder .items{padding:4px 0;}#ccos-builder .item{
  display:grid; grid-template-columns:34px 1fr auto; align-items:center;
  gap:10px; padding:13px 18px; border-top:1px solid var(--border); cursor:pointer;
  transition:background 0.12s;
}#ccos-builder .item:hover{background:var(--bg-soft);}#ccos-builder .item.checked{background:var(--accent-soft);}#ccos-builder .item .idx{
  font-family:var(--mono); font-size:12px; color:var(--ink-soft); text-align:right;
}#ccos-builder .item .box{
  width:22px; height:22px; border:2px solid var(--ink-soft); border-radius:7px; position:relative; flex:none;
  background:#fff; transition:all 0.12s;
}#ccos-builder .item:hover .box{border-color:var(--accent);}#ccos-builder .item.checked .box{
  background:var(--accent); border-color:var(--accent);
  box-shadow:0 2px 6px -1px rgba(8,145,178,0.55);
}#ccos-builder .item.checked .box::after{
  content:""; position:absolute; left:6px; top:2px; width:6px; height:11px;
  border-right:2.5px solid #fff; border-bottom:2.5px solid #fff;
  transform:rotate(40deg);
}#ccos-builder .item .label{font-size:15px; line-height:1.4; font-family:var(--font);}#ccos-builder .item .label .modname{font-weight:600; color:var(--ink);}#ccos-builder .item .label .modname a{
  color:var(--ink); text-decoration:none; border-bottom:1px solid transparent;
}#ccos-builder .item .label .modname a:hover{border-bottom-color:var(--accent); color:var(--accent-dark);}#ccos-builder .item .label .moddesc{
  display:block; font-size:13px; color:var(--ink-soft); margin-top:3px; letter-spacing:0.1px; line-height:1.5;
}#ccos-builder .seq{
  font-size:12.5px; font-weight:700; color:#fff;
  background:var(--accent); border-radius:50%; width:21px; height:21px;
  display:flex; align-items:center; justify-content:center;
}#ccos-builder /* PIPELINE PANEL */
#ccos-builder .pipeline{
  border:1px solid var(--border); border-radius:16px;
  background:#fff; overflow:hidden;
  box-shadow:0 1px 2px rgba(15,23,42,0.04);
  margin:20px 0 20px;
  position:relative;
}#ccos-builder .pipeline .pipeline-top{
  padding:24px 26px 8px; margin:0;
  display:flex; align-items:flex-start; justify-content:space-between; gap:16px; flex-wrap:wrap;
}#ccos-builder .pipeline h2{
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<body>
<header class="vr-suitebar">
  <a class="vr-brand" href="https://avi33tbtt.github.io/">Vibe<span>Rounds</span></a>
  <nav class="vr-nav">
    <a href="https://avi33tbtt.github.io/home.html">Home</a>
    <a href="https://avi33tbtt.github.io/bench.html">Case Bench</a>
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    <a href="https://avi33tbtt.github.io/clinical-polemos.html">Clinical Polemos</a>
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    <a href="https://avi33tbtt.github.io/sdm-lens.html">SDM Lens</a>
    <a href="https://avi33tbtt.github.io/ebm.html">EBM Query Generator</a>
    <a href="https://avi33tbtt.github.io/ccos-builder.html" class="active">CCOS Builder</a>
  </nav>
</header>
<div id="ccos-builder">
<div class="wrap">

  <header>
    <div class="title">Vibe Rounds<small>Clinical Cognition OS (CCOS) — Module Order Builder</small></div>
    <div class="top-right">
      <div class="top-links">
        <a href="https://avi33tbtt.github.io/" target="_blank" rel="noopener">Project website</a>
        <a href="https://www.linkedin.com/in/dravinashkumargupta/" target="_blank" rel="noopener">Dr. Avinash — LinkedIn</a>
      </div>
    </div>
  </header>

  <div class="disclaimer-banner">
    <div class="flag">Not for Clinical Use</div>
    <p>
      <strong>VibeRounds and this builder are a learning stack, not a clinical decision tool.</strong> Everything
      produced here — module chains, the analytic-yield commentary, and any pipeline you copy out — is a study aid for
      practicing clinical reasoning on deidentified, consented, publicly published cases, such as case reports. It is
      not validated for, and must not be used for, diagnosing
      or managing real patients. See the Disclosure Statement on the source site for full terms.
    </p>
  </div>

  <p class="subline">
    Load a case below, then tick modules in the order you'd run them on it. Each tap stamps the next sequence number
    into the Chosen Pipeline — untick and the chain renumbers itself, along with a plain-language read on what kind
    of analytic yield that combination tends to produce.
  </p>

  <div class="case-selector">
    <h2>① Case Under Review</h2>
    <div class="sub">Provide the case the pipeline below will be run against — paste it in, add a link to where it lives, or both.</div>
    <div class="case-field">
      <label for="caseText">Case text</label>
      <textarea id="caseText">62F, 3 days of worsening dyspnea and bilateral leg swelling. History of hypertension, no known cardiac disease. O2 sat 91% on room air, JVP raised, bibasal crackles, pitting oedema to the knees. [Replace with your own case, or leave blank if you're only linking out below.]</textarea>
    </div>
    <div class="case-field">
      <label for="caseLink">Link to case (optional)</label>
      <input type="url" id="caseLink" placeholder="https://... link to the case record, note, or write-up">
    </div>
    <span class="case-tag">DUMMY CASE — REPLACE BEFORE USE</span>
  </div>

  <div class="pipeline">
    <div class="pipeline-top">
      <div>
        <h2>② Chosen Pipeline</h2>
        <div class="sub">Builds as you tick modules below — in selection order.</div>
      </div>
    </div>
    <div class="pipeline-body">
      <ol class="pchain" id="pchain"></ol>
      <div class="analytics" id="analyticsBlock" style="display:none;">
        <div>
          <h3>Likely Analytic Yield</h3>
          <div class="lens-tags" id="lensTags"></div>
          <p id="analyticsText"></p>
        </div>
        <div id="meters"></div>
      </div>
      <div class="actions">
        <button id="clearBtn">Clear chain</button>
        <button id="copyBtn" class="primary">Copy pipeline</button>
      </div>
    </div>
  </div>

  <div class="picker">
    <h2>③ Pick Modules, In Order</h2>
    <div class="sub">Tick modules in the order you'd run them on the case above. Each tap stamps the next sequence number in the pipeline — untick and the chain renumbers itself.</div>
    <div class="ccb-tabbar" id="tabbar"></div>
    <div id="categories"></div>
  </div>

  <div class="presets">
    <h2>Readymade Pipelines</h2>
    <div class="sub">Curated module chains for common situations — tap one to load it, then tweak in the builder above as needed.</div>
    <div class="preset-tabbar" id="presetTabbar"></div>
    <div class="preset-grid" id="presetGrid"></div>
  </div>

  <footer>
    Part of the VibeRounds learning stack — see the <a href="https://avi33tbtt.github.io/#guided-discovery" target="_blank" rel="noopener">Guided Discovery</a> tab for the full module directory and pipelines.
  </footer>
</div>

</div>
<script>
/* ════════════════ CCOS BUILDER (scoped) ════════════════ */
(function(){

const CATS = [
  {key:"reasoning", label:"Clinical Reasoning & Cognitive Frameworks", color:"var(--tab1)"},
  {key:"advocacy", label:"Patient Advocacy & Individual Care Management", color:"var(--tab2)"},
  {key:"analytics", label:"Data Analytics & Analytical Methodologies", color:"var(--tab3)"},
  {key:"safety", label:"Patient Safety, Risk & Systems Failure", color:"var(--tab4)"},
  {key:"education", label:"Medical Education, Literature & Basic Science", color:"var(--tab5)"},
  {key:"operations", label:"Health Operations, Systems & Economics", color:"var(--tab6)"},
  {key:"meta", label:"Framework Architecture & Meta-Design", color:"var(--tab7)"},
];

const BASE = "https://avi33tbtt.github.io/Prompts/";
const MODULES = [
{id:0, cat:"meta", name:"Cold-Start Orientation", desc:"Routes a new user to the right module based on role and goal", url:BASE+"Module-00-Cold-Start-Orientation.html"},
{id:1, cat:"reasoning", name:"Socratic Clinical Reasoning", desc:"Forces active reasoning through a case before revealing the answer", url:BASE+"Module-01-Socratic-Clinical-Reasoning.html"},
{id:2, cat:"advocacy", name:"Patient-Advocate Case Documentation", desc:"4-step workflow for a family member to build a structured case record", url:BASE+"Module-02-Patient-Advocate-Case-Documentation.html"},
{id:3, cat:"advocacy", name:"Extended Patient-Advocate Monitoring", desc:"Longitudinal tracking of lifestyle, mood, meds, red flags", url:BASE+"Module-03-Extended-Patient-Advocate-Monitoring.html"},
{id:4, cat:"education", name:"Peer-Level Ward Round Preparation", desc:"Rehearses rounds, admissions, pre-op clearance, overnight triage", url:BASE+"Module-04-Peer-Level-Ward-Round-Preparation.html"},
{id:5, cat:"analytics", name:"Real-Time Case Review & Data Audit", desc:"Queries and cleans a single patient's live case log", url:BASE+"Module-05-Real-Time-Case-Review-and-Data-Audit.html"},
{id:6, cat:"analytics", name:"Registry-Level Analytics", desc:"Nine escalating levels of analytic depth across a full registry", url:BASE+"Module-06-Registry-Level-Analytics.html"},
{id:7, cat:"analytics", name:"Longitudinal & Cross-Case Learning", desc:"Turns the registry into a cross-case, cross-time learning system", url:BASE+"Module-07-Longitudinal-and-Cross-Case-Learning.html"},
{id:8, cat:"meta", name:"Socratic-Mode Design Specification", desc:"12-point QA spec for authoring or revising a Socratic prompt", url:BASE+"Module-08-Socratic-Mode-Design-Specification.html"},
{id:9, cat:"advocacy", name:"N-of-1 Case Research Protocol", desc:"Seven-stage formal research protocol on a single complex case", url:BASE+"Module-09-Case-Research_Protocol.html"},
{id:10, cat:"education", name:"Journal & Article Reading", desc:"Structured companion for reading primary literature", url:BASE+"Module-10-Medical-Journal-Article-Reading.html"},
{id:11, cat:"advocacy", name:"Patient Education Query Intelligence", desc:"Shapes how patient questions get triaged and answered", url:BASE+"Module-11-Patient-Education-Query-Intelligence.html"},
{id:12, cat:"reasoning", name:"Differential Diagnosis Deepdive", desc:"Systematic expansion and pruning of a differential", url:BASE+"Module-12-Differential-Diagnosis-Deepdive.html"},
{id:13, cat:"advocacy", name:"Medication Reconciliation & Polypharmacy", desc:"Audits a med list for interactions and redundancy", url:BASE+"Module-13-Medication-Reconciliation-Polypharmacy-Audit.html"},
{id:14, cat:"reasoning", name:"Resource-Constrained Clinical Reasoning", desc:"Reasoning adapted to low-resource / global-health settings", url:BASE+"Module-14-Global-Health-Resource-Constrained-Clinical-Reasoning.html"},
{id:15, cat:"reasoning", name:"Illness Script Acquisition", desc:"Builds and reinforces canonical illness scripts", url:BASE+"Module-15-Illness-Script-Acquisition.html"},
{id:16, cat:"education", name:"Basic Science ↔ Clinical Integration", desc:"Bidirectional mapping between mechanism and bedside finding", url:BASE+"Module-16-Bidirectional-Basic-Science-Clinical-Integration.html"},
{id:17, cat:"reasoning", name:"Semantic Qualifiers & Problem Representation", desc:"Trains precise, qualifier-rich problem representations", url:BASE+"Module-17-Semantic-Qualifiers-Problem-Representation.html"},
{id:18, cat:"reasoning", name:"Causal vs. Probabilistic (Network) Reasoning", desc:"Contrasts causal-mechanistic and network/probabilistic models", url:BASE+"Module-18-Causal-vs-Probabilistic-Network-Reasoning.html"},
{id:19, cat:"operations", name:"Community & Social Medicine Insights", desc:"Surfaces social-determinant and community-level factors", url:BASE+"Module-19-Community-and-Social-Medicine-Insights.html"},
{id:20, cat:"reasoning", name:"Naturalistic Decision Making", desc:"Recognition-primed decision modeling under time pressure", url:BASE+"Module-20-Recognition-Primed-Decision-Model.html"},
{id:21, cat:"education", name:"Evidence Frontier Search", desc:"Locates the current edge of evidence on a clinical question", url:BASE+"Module-21-Evidence-Frontier-Search.html"},
{id:22, cat:"analytics", name:"Nested Analysis", desc:"Layers sub-analyses within a larger case or dataset", url:BASE+"Module-22-Nested-Analysis.html"},
{id:23, cat:"analytics", name:"Counterfactual Analysis", desc:"Tests what-if branches against the actual case course", url:BASE+"Module-23-Counterfactual-Analysis.html"},
{id:24, cat:"analytics", name:"Heuristic Analysis", desc:"Surfaces which mental shortcuts shaped a decision", url:BASE+"Module-24-Heuristic-Analysis.html"},
{id:25, cat:"analytics", name:"Thematic Analysis", desc:"Extracts recurring themes across notes or cases", url:BASE+"Module-25-Thematic-Analysis.html"},
{id:26, cat:"safety", name:"Bias Auditing", desc:"Screens reasoning for cognitive and systemic bias", url:BASE+"Module-26-Bias-Auditing.html"},
{id:27, cat:"analytics", name:"Time-Series & Velocity Analyzer", desc:"Tracks rate-of-change in trends, not just single values", url:BASE+"Module-27-Time-Series-Velocity-Analyzer.html"},
{id:28, cat:"reasoning", name:"Diagnostic Time-Out", desc:"Structured pause to re-check a working diagnosis", url:BASE+"Module-28-Diagnostic-Time-Out.html"},
{id:29, cat:"safety", name:"The Iatrogenic Domino Effect", desc:"Traces cascades of harm triggered by an intervention", url:BASE+"Module-29-Iatrogenic-Domino-Effect.html"},
{id:30, cat:"reasoning", name:"The \"Diagnostic Anchor\" Extractor", desc:"Identifies the first idea that anchored subsequent reasoning", url:BASE+"Module-30-Diagnostic-Anchor-Extractor.html"},
{id:31, cat:"education", name:"First-Principles Pathophysiology Mapping", desc:"Rebuilds a presentation from mechanism upward", url:BASE+"Module-31-First-Principles-Pathophysiology-Mapping.html"},
{id:32, cat:"reasoning", name:"Clinical Cognition Loop", desc:"Cycles hypothesis-generation and data-gathering iteratively", url:BASE+"Module-32-Clinical-Cognition-Loop.html"},
{id:33, cat:"reasoning", name:"The \"Why Now?\" (Precipitant) Hunter", desc:"Hunts for the trigger that made a chronic issue acute today", url:BASE+"Module-33-Why-Now-Precipitant-Hunter.html"},
{id:34, cat:"operations", name:"The High-Value Care (HVC) Auditor", desc:"Checks whether tests/treatments add proportional value", url:BASE+"Module-34-High-Value-Care-Auditor.html"},
{id:35, cat:"reasoning", name:"Epistemic Certainty Mapping & Calibration", desc:"Maps confidence levels across the differential", url:BASE+"Module-35-Epistemic-Certainty-Mapping-Calibration.html"},
{id:36, cat:"reasoning", name:"The Bayesian Probability / Likelihood Ratio Engine", desc:"Runs likelihood-ratio math on findings and tests", url:BASE+"Module-36-Bayesian-Probability-Likelihood-Ratio-Engine.html"},
{id:37, cat:"reasoning", name:"Red Herring / Signal-to-Noise Drill", desc:"Separates distracting findings from load-bearing ones", url:BASE+"Module-37-Red-Herring-Signal-to-Noise-Drill.html"},
{id:38, cat:"safety", name:"Poly-Crisis & Cascading Failure Simulator", desc:"Simulates multiple simultaneous system failures", url:BASE+"Module-38-Poly-Crisis-Cascading-Failure-Simulator.html"},
{id:39, cat:"education", name:"The \"Global Knowledge Network\" Diagnostic Matrix", desc:"Cross-references global literature against the case", url:BASE+"Module-39-Global-Knowledge-Network-Diagnostic-Matrix.html"},
{id:40, cat:"operations", name:"The Operational & Throughput Strategist", desc:"Optimizes ward/unit flow and throughput", url:BASE+"Module-40-Operational-Throughput-Strategist.html"},
{id:41, cat:"operations", name:"Clinical Workflow Implementation Science", desc:"Applies implementation-science lenses to a workflow change", url:BASE+"Module-41-Clinical-Workflow-Implementation-Science.html"},
{id:42, cat:"safety", name:"Clinical Pre-Mortem", desc:"Imagines failure in advance to find its causes now", url:BASE+"Module-42-Clinical-Pre-Mortem.html"},
{id:43, cat:"operations", name:"Health Economics & Value-Based Care Alignment", desc:"Weighs cost, value, and care-model alignment", url:BASE+"Module-43-Health-Economics-Value-Based-Care-Alignment.html"},
{id:44, cat:"meta", name:"Clinical Genetics Reasoning", desc:"Structured reasoning through a genetics-influenced case", url:BASE+"Module-44-Clinical-Genetics-Reasoning.html"},
{id:45, cat:"reasoning", name:"Shadow Module 44 — Clinical Genetics Adversarial Counterpart", desc:"Adversarially challenges the genetics reasoning above", url:BASE+"Shadow-Module-44-Clinical-Genetics-Adversarial-Counterpart.html"},
{id:46, cat:"education", name:"Evidence-Based Medicine Insights", desc:"Applies EBM appraisal steps to a case question", url:BASE+"Module-45-Evidence-Based-Medicine-Insights.html"},
{id:47, cat:"education", name:"Shadow Module 47 — Evidence-Based Medicine Adversarial Counterpart", desc:"Adversarially challenges the EBM appraisal above", url:BASE+"Shadow-Module-45-EBM-Adversarial-Counterpart.html"},
{id:48, cat:"reasoning", name:"Treatment Comparative Analysis & Prognosis Trajectory", desc:"Compares treatment options against likely trajectories", url:BASE+"Module-48-Treatment-Comparative-Analysis-and-Prognosis-Trajectory.html"},
{id:49, cat:"safety", name:"FMEA Analysis", desc:"Failure-Mode-and-Effects style audit of a process", url:BASE+"Module-49-FMEA-Analysis-and-Insights.html"},
{id:50, cat:"reasoning", name:"Diagnostic Reasoning Map", desc:"Visual/structural map of the diagnostic pathway taken", url:BASE+"Module-50-DRM-Diagnostic-Reasoning-Map.html"},
{id:51, cat:"operations", name:"Systems-Based Clinical Analysis", desc:"Analyzes a case through the surrounding system, not just the patient", url:BASE+"Module-51-Systems-Based-Clinical-Analysis-and-Insights.html"},
{id:52, cat:"education", name:"Clinical Pearls Distillation", desc:"Distills a case down to transferable teaching pearls", url:BASE+"Module-52-CP-Clinical-Pearls.html"},
{id:53, cat:"education", name:"Clinical Guideline Intelligence Navigator", desc:"Navigates and reconciles competing guideline recommendations", url:BASE+"Module-53-Clinical-Guideline-Intelligence-Navigator.html"},
{id:54, cat:"reasoning", name:"System 1 & System 2 Thinking Question Generator", desc:"Generates prompts that separate fast and slow reasoning", url:BASE+"Module-54-System1-System2-Question-Generator.html"},
{id:55, cat:"advocacy", name:"Patient Needs Assessment", desc:"Structured assessment of the patient's own stated needs", url:BASE+"Module-55-Patient-Needs-Assessment.html"},
{id:56, cat:"reasoning", name:"Hypothetico-Deductive Reasoning", desc:"Classic generate-test-refine hypothesis cycle", url:BASE+"Module-HDM-Hypothetico-Deductive-Model.html"},
{id:57, cat:"reasoning", name:"Clinical Cognition Deep Dive", desc:"Extended, slow-mode examination of a single reasoning trace", url:BASE+"Module-CC-Clinical-Cognition-Deep-Dive.html"},
];

const CAT_INFO = Object.fromEntries(CATS.map(c=>[c.key,c]));

const PRESET_CATS = [
  {key:"reasoning", label:"Diagnostic Reasoning", color:"#0891b2", soft:"#ecfeff"},
  {key:"safety", label:"Safety & Risk", color:"#dc2626", soft:"#fef2f2"},
  {key:"analytics", label:"Analytics & Data", color:"#7c3aed", soft:"#f5f3ff"},
  {key:"advocacy", label:"Advocacy & Patient Care", color:"#d97706", soft:"#fffbeb"},
  {key:"education", label:"Education & Evidence", color:"#059669", soft:"#ecfdf5"},
  {key:"operations", label:"Operations & Systems", color:"#b45309", soft:"#fef7ed"},
  {key:"arcs", label:"Comprehensive Arcs", color:"#4f46e5", soft:"#eef2ff"},
  {key:"meta", label:"Meta & Framework Design", color:"#475569", soft:"#f1f5f9"},
];
const PRESET_CAT_INFO = Object.fromEntries(PRESET_CATS.map(c=>[c.key,c]));

const PRESETS = [
  // Diagnostic Reasoning
  {name:"Diagnostic Deep Dive", cat:"reasoning", desc:"Reason through the case out loud, then tighten language and calibrate confidence.", ids:[1,12,17,35,36]},
  {name:"Ward Round Prep", cat:"reasoning", desc:"Rehearse rounds and admissions with time-pressured, precipitant-aware reasoning.", ids:[4,20,28,33]},
  {name:"Complex Multi-System Case", cat:"reasoning", desc:"Nested analysis, systems-based view, and cascading failure across a tangled case.", ids:[12,18,22,38,51]},
  {name:"Genetics-Focused Workup", cat:"reasoning", desc:"Structured genetics reasoning with its adversarial counterpart and mechanism mapping.", ids:[44,45,31]},
  {name:"Counterfactual & Precipitant Analysis", cat:"reasoning", desc:"Find what triggered the acute event and test what-if branches against it.", ids:[33,23,18]},
  {name:"Rapid Bedside Triage", cat:"reasoning", desc:"Recognition-primed decisions with a precipitant hunt and a diagnostic time-out.", ids:[20,33,28]},
  {name:"Semantic Precision Drill", cat:"reasoning", desc:"Sharpen problem representation, separate signal from noise, name the anchor.", ids:[17,37,30]},
  {name:"Hypothesis Testing Loop", cat:"reasoning", desc:"Classic generate-test-refine cycle backed by likelihood-ratio math.", ids:[56,32,36]},

  // Safety & Risk
  {name:"Safety & Failure Audit", cat:"safety", desc:"Bias check, cascading-failure sim, pre-mortem, and a formal FMEA pass.", ids:[26,29,38,42,49]},
  {name:"Bias & Anchor Check", cat:"safety", desc:"Find the diagnostic anchor, audit for bias, map certainty across the differential.", ids:[30,26,24,35]},
  {name:"Cognitive Bias Deep Audit", cat:"safety", desc:"Heuristics, bias, anchoring, calibration, and System 1/2 separation in one chain.", ids:[24,26,30,35,54]},
  {name:"Pre-Mortem Safety Planning", cat:"safety", desc:"Imagine failure before it happens, across process, cascade, and system levels.", ids:[42,29,49,38]},
  {name:"Polypharmacy & Med Safety", cat:"safety", desc:"Reconcile medications, audit for bias, then run a formal failure-mode pass.", ids:[13,26,49]},
  {name:"Iatrogenic Harm Tracing", cat:"safety", desc:"Trace cascades of harm from an intervention through to systemic failure.", ids:[29,38,42]},
  {name:"Adversarial Stress-Test", cat:"safety", desc:"Run genetics and EBM adversarial counterparts, then a bias sweep.", ids:[45,47,26]},

  // Analytics & Data
  {name:"Registry Analytics Suite", cat:"analytics", desc:"Move from a single live case log up to registry-wide, longitudinal patterns.", ids:[5,6,7,27]},
  {name:"Time-Series Trend Watch", cat:"analytics", desc:"Audit the live log, then track rate-of-change and cross-case learning over time.", ids:[5,27,7]},
  {name:"Thematic Case Review", cat:"analytics", desc:"Pull recurring themes out of the notes, grounded in literature and pearls.", ids:[25,52,10]},
  {name:"N-of-1 Research Protocol", cat:"analytics", desc:"Formal single-case research protocol paired with a live audit and theme extraction.", ids:[9,5,25]},
  {name:"Cross-Case Learning Loop", cat:"analytics", desc:"Turn longitudinal and registry data into a cross-case learning system.", ids:[7,6,27]},

  // Advocacy & Patient Care
  {name:"Patient Advocate Starter", cat:"advocacy", desc:"For a family member building and tracking a structured case record.", ids:[2,3,11,55]},
  {name:"Community & Social Context", cat:"advocacy", desc:"Surface social-determinant factors and the patient's own stated needs.", ids:[19,14,55]},
  {name:"Patient Education Response", cat:"advocacy", desc:"Shape how a patient's questions get triaged, answered, and documented.", ids:[11,55,2]},
  {name:"Longitudinal Monitoring", cat:"advocacy", desc:"Track lifestyle, mood, meds, and red flags over the course of care.", ids:[3,27,7]},

  // Education & Evidence
  {name:"Evidence & Literature Review", cat:"education", desc:"Read the primary literature, then locate the current edge of evidence.", ids:[10,21,46,47]},
  {name:"Teaching Case Distillation", cat:"education", desc:"Turn a worked case into transferable teaching pearls and guideline context.", ids:[1,31,52,53]},
  {name:"EBM Appraisal Pipeline", cat:"education", desc:"Appraise the evidence, stress-test it adversarially, then find the frontier.", ids:[46,47,21]},
  {name:"Illness Script Builder", cat:"education", desc:"Build canonical illness scripts and bridge them to underlying mechanism.", ids:[15,31,16]},
  {name:"Guideline Reconciliation", cat:"education", desc:"Reconcile competing guidelines against appraised evidence and its frontier.", ids:[53,46,21]},
  {name:"Basic Science Bridge", cat:"education", desc:"Map mechanism to bedside finding, then ground it in primary literature.", ids:[16,31,10]},
  {name:"Frontier-to-Bedside", cat:"education", desc:"Find the evidence frontier, cross-reference global literature, reconcile guidelines.", ids:[21,39,53]},

  // Operations & Systems
  {name:"Operations & Value Review", cat:"operations", desc:"Reframe the same case in terms of cost, workflow, and system feasibility.", ids:[19,34,40,43]},
  {name:"Global Health Adapted Workup", cat:"operations", desc:"Resource-constrained reasoning with community factors and value-of-care checks.", ids:[14,19,34]},
  {name:"Throughput & Flow Optimization", cat:"operations", desc:"Optimize ward flow and apply implementation science to the change.", ids:[40,41,34]},
  {name:"Value-Based Care Alignment", cat:"operations", desc:"Weigh cost and value against the community and social context.", ids:[43,34,19]},
  {name:"System-Level Failure Review", cat:"operations", desc:"Analyze the case through its surrounding system, then stress-test for cascade failure.", ids:[51,38,49]},

  // Comprehensive Arcs
  {name:"Full Case Workup", cat:"arcs", desc:"A comprehensive single-case run: reason, re-check, audit safety, distill pearls.", ids:[1,12,28,26,49,52]},
  {name:"Socratic-to-Pearls Arc", cat:"arcs", desc:"The full learner arc: Socratic reasoning through to distilled teaching pearls.", ids:[1,12,28,35,52]},
  {name:"Diagnostic Reasoning Map Arc", cat:"arcs", desc:"Reason through the case, then map the pathway and distill it to pearls.", ids:[1,50,52]},
  {name:"New User Orientation Arc", cat:"arcs", desc:"Start at cold-start orientation, run Socratic reasoning, close with pearls.", ids:[0,1,52]},

  // Diagnostic Reasoning (more)
  {name:"Diagnostic Loop Reset", cat:"reasoning", desc:"Cycle the cognition loop, pause for a time-out, then re-anchor on the decision.", ids:[32,28,20]},
  {name:"Likelihood Ratio Workout", cat:"reasoning", desc:"Run the Bayesian engine against precise, qualifier-rich problem representations.", ids:[36,17,35]},
  {name:"Anchor-to-Precision Chain", cat:"reasoning", desc:"Extract the anchor, tighten the representation, then deepen the differential.", ids:[30,17,12]},

  // Safety & Risk (more)
  {name:"Bias-to-FMEA Pipeline", cat:"safety", desc:"Surface heuristics and anchors first, then close with a formal FMEA pass.", ids:[24,30,49]},
  {name:"Cascading Risk Simulation", cat:"safety", desc:"Simulate poly-crisis failure and trace it through the surrounding system.", ids:[38,29,51]},
  {name:"Diagnostic Time-Out Safety Loop", cat:"safety", desc:"Pause on the working diagnosis, audit bias, then pre-empt downstream harm.", ids:[28,26,42]},

  // Analytics & Data (more)
  {name:"Nested Case Analysis", cat:"analytics", desc:"Layer sub-analyses within the case and pull out its recurring themes.", ids:[22,25,5]},
  {name:"Heuristic & Thematic Scan", cat:"analytics", desc:"Surface the shortcuts taken, then the themes that recur across the record.", ids:[24,25,22]},
  {name:"Velocity & Longitudinal Watch", cat:"analytics", desc:"Track rate-of-change alongside registry-wide, longitudinal patterns.", ids:[27,7,6]},

  // Advocacy & Patient Care (more)
  {name:"Family Documentation Loop", cat:"advocacy", desc:"Build the structured record, then keep it current with longitudinal tracking.", ids:[2,3,55]},
  {name:"Needs-First Advocacy", cat:"advocacy", desc:"Assess stated needs first, then shape education and social context around them.", ids:[55,11,19]},
  {name:"Extended Monitoring Arc", cat:"advocacy", desc:"Longitudinal tracking of lifestyle, mood, and meds, tied back to stated needs.", ids:[3,27,55]},

  // Education & Evidence (more)
  {name:"Pathophys-to-Pearl", cat:"education", desc:"Rebuild the case from mechanism upward, then distill it into teaching pearls.", ids:[31,16,52]},
  {name:"Journal Club Prep", cat:"education", desc:"Read the literature, find its frontier, then appraise it the EBM way.", ids:[10,21,46]},
  {name:"Guideline vs Evidence Clash", cat:"education", desc:"Reconcile guidelines against an adversarially stress-tested evidence base.", ids:[53,47,21]},

  // Operations & Systems (more)
  {name:"HVC & Throughput Combo", cat:"operations", desc:"Check value-per-test, then optimize the flow it moves through.", ids:[34,40,41]},
  {name:"Economics & Systems Lens", cat:"operations", desc:"Weigh cost and value, then view the same case through its surrounding system.", ids:[43,51,19]},
  {name:"Implementation Science Pass", cat:"operations", desc:"Apply implementation science to a workflow change, then check its throughput and value.", ids:[41,40,34]},

  // Comprehensive Arcs (more)
  {name:"Cold-Start to Pearls", cat:"arcs", desc:"Orient to the right module, prep for rounds, close with teaching pearls.", ids:[0,4,52]},
  {name:"Full Spectrum Case Arc", cat:"arcs", desc:"Reason through the case, audit for bias, weigh its value, distill the pearls.", ids:[1,26,34,52]},

  // Diagnostic Reasoning (new)
  {name:"Illness Script to Differential", cat:"reasoning", desc:"Build the canonical script, expand the differential, then tighten how it's worded.", ids:[15,12,17]},
  {name:"Cognition Loop Under Pressure", cat:"reasoning", desc:"Cycle hypothesis and data-gathering, add time pressure, then force a time-out.", ids:[32,20,28]},
  {name:"Deductive Confidence Build", cat:"reasoning", desc:"Run the classic generate-test-refine cycle, then calibrate confidence with likelihood ratios.", ids:[56,35,36]},
  {name:"Anchor & Red Herring Sweep", cat:"reasoning", desc:"Name the anchoring idea, separate signal from noise, then audit for residual bias.", ids:[30,37,26]},
  {name:"Deep Cognition Review", cat:"reasoning", desc:"Slow-mode reasoning trace, cycled and re-checked against calibrated confidence.", ids:[57,32,35]},
  {name:"Causal Mechanism Walkthrough", cat:"reasoning", desc:"Contrast causal and network reasoning, then ground both in mechanism and bedside finding.", ids:[18,31,16]},
  {name:"System 1/2 Calibration Drill", cat:"reasoning", desc:"Separate fast and slow reasoning, then calibrate confidence and pause to re-check.", ids:[54,35,28]},

  // Safety & Risk (new)
  {name:"Med Safety FMEA Chain", cat:"safety", desc:"Reconcile the medication list, then run it through a formal failure-mode audit.", ids:[13,49,29]},
  {name:"Bias-Precipitant-Anchor Sweep", cat:"safety", desc:"Audit for bias, hunt the precipitant, then name the anchor that shaped the read.", ids:[26,33,30]},
  {name:"Crisis Simulation to Pre-Mortem", cat:"safety", desc:"Simulate simultaneous system failures, then pre-mortem and formally audit the response.", ids:[38,42,49]},
  {name:"Genetics Adversarial Safety Check", cat:"safety", desc:"Reason through a genetics-influenced case, stress-test it, then sweep for bias.", ids:[44,45,26]},
  {name:"EBM Adversarial Safety Pass", cat:"safety", desc:"Appraise the evidence, challenge it adversarially, then pre-mortem the decision it supports.", ids:[46,47,42]},
  {name:"Throughput Failure Risk Scan", cat:"safety", desc:"Optimize flow, then stress-test that workflow for cascading and formal failure modes.", ids:[40,38,49]},

  // Analytics & Data (new)
  {name:"Case Log to Registry Pipeline", cat:"analytics", desc:"Audit the live case log, layer nested sub-analyses, then zoom out to registry level.", ids:[5,22,6]},
  {name:"Theme & Velocity Cross-Check", cat:"analytics", desc:"Pull recurring themes from the notes, then check them against rate-of-change trends.", ids:[25,27,7]},
  {name:"Counterfactual Registry Review", cat:"analytics", desc:"Test what-if branches against the case, then place it in registry and longitudinal context.", ids:[23,6,7]},
  {name:"Nested Heuristic Scan", cat:"analytics", desc:"Layer sub-analyses within the case, then screen the shortcuts and bias behind them.", ids:[22,24,26]},
  {name:"Research Protocol Data Chain", cat:"analytics", desc:"Run the formal N-of-1 protocol, backed by a live audit and trend tracking.", ids:[9,5,27]},
  {name:"Full Analytics Ladder", cat:"analytics", desc:"The complete escalation: live audit, nested analysis, registry, cross-case, and velocity.", ids:[5,22,6,7,27]},

  // Advocacy & Patient Care (new)
  {name:"Advocate Case-to-Needs Bridge", cat:"advocacy", desc:"Build the structured case record, then ground it in the patient's own stated needs.", ids:[2,55,11]},
  {name:"Polypharmacy Advocate Review", cat:"advocacy", desc:"Audit the med list for interactions, then track it inside longitudinal monitoring.", ids:[13,3,55]},
  {name:"Social Context Documentation", cat:"advocacy", desc:"Surface social-determinant factors, then fold them into the structured case record.", ids:[19,2,3]},
  {name:"Query Intelligence to Needs", cat:"advocacy", desc:"Triage how the patient's questions get answered, then re-ground them in stated needs.", ids:[11,55,2]},
  {name:"Research-Grade Family Case", cat:"advocacy", desc:"Run a formal single-case protocol on a family member's own documented record.", ids:[9,2,3]},
  {name:"Advocate Safety Watch", cat:"advocacy", desc:"Track the case longitudinally, reconcile medications, then sweep for reasoning bias.", ids:[3,13,26]},

  // Education & Evidence (new)
  {name:"Literature to Guideline Chain", cat:"education", desc:"Read the primary literature, find its frontier, then reconcile it against guidelines.", ids:[10,21,53]},
  {name:"Illness Script Foundation", cat:"education", desc:"Build canonical scripts, bridge mechanism to bedside, then rebuild from first principles.", ids:[15,16,31]},
  {name:"EBM to Frontier Bridge", cat:"education", desc:"Appraise the evidence, then locate its frontier against the global literature.", ids:[46,21,39]},
  {name:"Teaching Pearl Builder", cat:"education", desc:"Rehearse the round, reconcile it against guidelines, then distill it to pearls.", ids:[4,53,52]},
  {name:"Global Literature Cross-Reference", cat:"education", desc:"Cross-reference global literature against the case, then read the primary sources and their frontier.", ids:[39,10,21]},
  {name:"Basic Science Deep Bridge", cat:"education", desc:"Bridge mechanism to finding, rebuild from first principles, then re-anchor in illness scripts.", ids:[16,31,15]},
  {name:"Adversarial Evidence Review", cat:"education", desc:"Appraise the evidence, stress-test it adversarially, then reconcile it with guidelines.", ids:[46,47,53]},

  // Operations & Systems (new)
  {name:"Value & Throughput Chain", cat:"operations", desc:"Check value-per-test, optimize the flow it moves through, then weigh cost against value.", ids:[34,40,43]},
  {name:"Systems & Community Lens", cat:"operations", desc:"View the case through its surrounding system, then through its social and economic context.", ids:[51,19,43]},
  {name:"Implementation to Value", cat:"operations", desc:"Apply implementation science to a workflow change, then check its cost-value alignment.", ids:[41,34,43]},
  {name:"Global Health Ops Bridge", cat:"operations", desc:"Adapt reasoning for low-resource settings, then check community factors and flow.", ids:[14,19,40]},
  {name:"Full Operations Ladder", cat:"operations", desc:"The complete systems sweep: community, value, throughput, implementation, economics, and systems.", ids:[19,34,40,41,43,51]},
  {name:"Community-to-System Chain", cat:"operations", desc:"Surface social-determinant factors, then trace them through the surrounding care system.", ids:[19,51,41]},

  // Meta & Framework Design (new)
  {name:"Orientation to Design Spec", cat:"meta", desc:"Route a new user to the right module, then apply the QA spec that governs it.", ids:[0,8]},
  {name:"New Module Author Chain", cat:"meta", desc:"Use the design spec to shape a Socratic module, then close with teaching pearls.", ids:[8,1,52]},
  {name:"Genetics Meta Framework", cat:"meta", desc:"Reason through a genetics case, stress-test it, then check it against the design spec.", ids:[44,45,8]},
  {name:"Cold-Start Full Tour", cat:"meta", desc:"Orient a new user, run Socratic reasoning, audit bias, and close with pearls.", ids:[0,1,26,52]},
  {name:"Framework QA Loop", cat:"meta", desc:"Apply the module design spec, sweep for bias, then formally audit for failure modes.", ids:[8,26,49]},
  {name:"Meta Design to Pearls", cat:"meta", desc:"Apply the design spec, rebuild from first principles, then distill teaching pearls.", ids:[8,31,52]},

  // Comprehensive Arcs (new)
  {name:"Research-to-Publication Arc", cat:"arcs", desc:"Run the formal N-of-1 protocol, extract its themes, distill pearls, ground it in literature.", ids:[9,25,52,10]},
  {name:"Safety-First Full Workup", cat:"arcs", desc:"Reason through the case, audit bias, pre-mortem it, FMEA it, then distill pearls.", ids:[1,26,42,49,52]},
  {name:"Advocate-to-Educator Arc", cat:"arcs", desc:"Document the case, ground it in stated needs, triage questions, then teach from it.", ids:[2,55,11,52]},
  {name:"Analytics-Driven Case Arc", cat:"arcs", desc:"Audit the log, nest the analysis, pull its themes, then distill it to pearls.", ids:[5,22,25,52]},
  {name:"Global Health Full Arc", cat:"arcs", desc:"Adapt reasoning for resource limits, weigh community and value, then teach the pearls.", ids:[14,19,34,52]},
  {name:"Genetics Full Workup Arc", cat:"arcs", desc:"Reason through the genetics case, stress-test it, map mechanism, then distill pearls.", ids:[44,45,31,52]},

  // Diagnostic Reasoning (batch 2)
  {name:"Semantic Anchor Reset", cat:"reasoning", desc:"Tighten the problem representation, name the anchor, then separate signal from noise.", ids:[17,30,37]},
  {name:"Naturalistic Time-Out Loop", cat:"reasoning", desc:"Make the recognition-primed call, pause to re-check it, then cycle the cognition loop.", ids:[20,28,32]},
  {name:"Bayesian Illness Script Fusion", cat:"reasoning", desc:"Anchor on the canonical script, run the likelihood-ratio math, then calibrate confidence.", ids:[15,36,35]},
  {name:"Global Health Differential", cat:"reasoning", desc:"Expand the differential and its wording under low-resource, global-health constraints.", ids:[14,12,17]},
  {name:"Precipitant to Prognosis", cat:"reasoning", desc:"Hunt the trigger that made it acute, then project treatment options and trajectory.", ids:[33,48,35]},
  {name:"Deductive Deep Dive", cat:"reasoning", desc:"Run the classic hypothesis cycle, then slow-mode re-examine and calibrate the trace.", ids:[56,57,35]},
  {name:"Causal Anchor Mapping", cat:"reasoning", desc:"Contrast causal and network models, name the anchor, then ground it in mechanism.", ids:[18,30,16]},

  // Safety & Risk (batch 2)
  {name:"Polypharmacy Cascade Trace", cat:"safety", desc:"Reconcile the med list, trace iatrogenic cascades, then run a formal FMEA pass.", ids:[13,29,49]},
  {name:"Community Risk & Bias Check", cat:"safety", desc:"Surface social-determinant factors, sweep for bias, then pre-mortem the plan.", ids:[19,26,42]},
  {name:"Genetics Safety Net", cat:"safety", desc:"Reason through a genetics case, stress-test it, then formally audit for failure modes.", ids:[44,45,49]},
  {name:"Guideline-Driven Safety Review", cat:"safety", desc:"Reconcile competing guidelines, sweep for bias, then pre-mortem the chosen path.", ids:[53,26,42]},
  {name:"Throughput Cascade Watch", cat:"safety", desc:"Optimize ward flow, stress-test it for poly-crisis failure, then trace iatrogenic harm.", ids:[40,38,29]},
  {name:"Calibration Bias Loop", cat:"safety", desc:"Calibrate confidence across the differential, sweep for bias, then name the anchor.", ids:[35,26,30]},
  {name:"Value-Aware Risk Audit", cat:"safety", desc:"Check whether care adds proportional value, pre-mortem it, then formally audit failure modes.", ids:[34,42,49]},

  // Analytics & Data (batch 2)
  {name:"Thematic Registry Synthesis", cat:"analytics", desc:"Extract recurring themes, then place them in registry-wide, longitudinal context.", ids:[25,6,7]},
  {name:"Precipitant Data Trace", cat:"analytics", desc:"Hunt the acute trigger, then track its rate-of-change against the live case log.", ids:[33,27,5]},
  {name:"Counterfactual Nested Review", cat:"analytics", desc:"Test what-if branches, layer nested sub-analyses, then pull out recurring themes.", ids:[23,22,25]},
  {name:"Guideline-Informed Registry Audit", cat:"analytics", desc:"Reconcile guidelines against the registry, then extract themes from the pattern.", ids:[53,6,25]},
  {name:"Heuristic Velocity Check", cat:"analytics", desc:"Surface the shortcuts taken, then track how fast the trend they shaped is moving.", ids:[24,27,7]},
  {name:"Research Protocol to Pearls", cat:"analytics", desc:"Run the formal N-of-1 protocol, extract its themes, then distill teaching pearls.", ids:[9,25,52]},
  {name:"Cross-Case Bias Scan", cat:"analytics", desc:"Turn the registry into a cross-case learning system, then screen it for recurring bias.", ids:[7,26,24]},

  // Advocacy & Patient Care (batch 2)
  {name:"Needs-Based Medication Review", cat:"advocacy", desc:"Start from the patient's stated needs, then audit the med list against them.", ids:[55,13,3]},
  {name:"Community-Grounded Advocacy", cat:"advocacy", desc:"Surface social-determinant factors, ground them in stated needs, then document the case.", ids:[19,55,2]},
  {name:"Longitudinal Query Response", cat:"advocacy", desc:"Track the case over time, then shape how new questions get triaged against it.", ids:[3,11,55]},
  {name:"Documentation to Guideline Bridge", cat:"advocacy", desc:"Build the structured case record, then check it against reconciled guidelines.", ids:[2,53,11]},
  {name:"Global Health Advocacy", cat:"advocacy", desc:"Adapt reasoning for low-resource settings, then ground it in community and stated needs.", ids:[14,19,55]},
  {name:"Advocate Research Chain", cat:"advocacy", desc:"Run the formal N-of-1 protocol on a family-documented case, tied to stated needs.", ids:[9,3,55]},

  // Education & Evidence (batch 2)
  {name:"Frontier to Guideline Loop", cat:"education", desc:"Find the evidence frontier, reconcile it with guidelines, then appraise it formally.", ids:[21,53,46]},
  {name:"Ward Prep Pearl Chain", cat:"education", desc:"Rehearse the round, rebuild it from first principles, then distill teaching pearls.", ids:[4,31,52]},
  {name:"Illness Script Evidence Bridge", cat:"education", desc:"Build the canonical script, then ground it in primary literature and its frontier.", ids:[15,10,21]},
  {name:"Genetics Education Arc", cat:"education", desc:"Reason through the genetics case, then bridge mechanism to bedside finding.", ids:[44,16,31]},
  {name:"Global Evidence Synthesis", cat:"education", desc:"Cross-reference global literature, appraise it formally, then find its frontier.", ids:[39,46,21]},
  {name:"Mechanism to Guideline", cat:"education", desc:"Bridge mechanism to finding, rebuild from first principles, then reconcile guidelines.", ids:[16,31,53]},

  // Operations & Systems (batch 2)
  {name:"HVC Community Alignment", cat:"operations", desc:"Check test/treatment value, weigh community context, then align on cost and value.", ids:[34,19,43]},
  {name:"Resource-Constrained Ops Chain", cat:"operations", desc:"Adapt reasoning for low-resource settings, optimize flow, then weigh cost and value.", ids:[14,40,43]},
  {name:"Systems Implementation Loop", cat:"operations", desc:"View the case through its system, apply implementation science, then check its value.", ids:[51,41,34]},
  {name:"Throughput to Economics", cat:"operations", desc:"Optimize ward flow, weigh cost and value, then view it through the surrounding system.", ids:[40,43,51]},
  {name:"Community-Value-Systems Triad", cat:"operations", desc:"Surface social factors, check proportional value, then view the surrounding system.", ids:[19,34,51]},
  {name:"Full Global-Health Ops Arc", cat:"operations", desc:"Adapt for low-resource settings, weigh community, throughput, and value in one pass.", ids:[14,19,40,43]},

  // Meta & Framework Design (batch 2)
  {name:"Design Spec to Genetics", cat:"meta", desc:"Apply the module QA spec, then use it to shape a genetics reasoning case and its rebuttal.", ids:[8,44,45]},
  {name:"Orientation to Bayesian Reasoning", cat:"meta", desc:"Route the new user in, then run likelihood-ratio math and calibrate the result.", ids:[0,36,35]},
  {name:"Full Meta QA Chain", cat:"meta", desc:"Apply the design spec, sweep for bias, then reconcile the output against guidelines.", ids:[8,26,53]},
  {name:"Cold-Start Analytics Tour", cat:"meta", desc:"Orient a new user, run a live case audit, then close with teaching pearls.", ids:[0,5,52]},
  {name:"Design Spec Safety Loop", cat:"meta", desc:"Apply the module QA spec, pre-mortem the result, then formally audit for failure modes.", ids:[8,42,49]},
  {name:"Meta Genetics Adversarial", cat:"meta", desc:"Reason through genetics, stress-test it, apply the design spec, then sweep for bias.", ids:[44,45,8,26]},

  // Comprehensive Arcs (batch 2)
  {name:"Precipitant-to-Pearls Arc", cat:"arcs", desc:"Hunt the trigger, pause to re-check, sweep for bias, then distill teaching pearls.", ids:[33,28,26,52]},
  {name:"Polypharmacy Full Arc", cat:"arcs", desc:"Reconcile medications, trace iatrogenic harm, FMEA it, then distill teaching pearls.", ids:[13,29,49,52]},
  {name:"Global Health Full Learner Arc", cat:"arcs", desc:"Adapt for low-resource settings, weigh community, throughput, and value, then teach it.", ids:[14,19,34,40,52]},
  {name:"Bayesian Mastery Arc", cat:"arcs", desc:"Tighten the representation, run likelihood-ratio math, calibrate it, then teach the pearls.", ids:[17,36,35,52]},
  {name:"Research-to-Guideline Arc", cat:"arcs", desc:"Run the formal research protocol, extract themes, reconcile guidelines, teach the pearls.", ids:[9,25,53,52]},

  // Diagnostic Reasoning (batch 3)
  {name:"Treatment Choice Confidence Build", cat:"reasoning", desc:"Compare treatment options and trajectories, then back the choice with likelihood-ratio math and calibrated confidence.", ids:[48,36,35]},
  {name:"Script-to-Bayesian Fusion", cat:"reasoning", desc:"Anchor on the canonical illness script, sharpen its wording, then test it with likelihood ratios.", ids:[17,15,36]},
  {name:"Pressure-Cascade Diagnostic Drill", cat:"reasoning", desc:"Make the recognition-primed call under time pressure, hunt the precipitant, then force a time-out and a re-anchor check.", ids:[20,32,28,33]},
  {name:"Mechanism-to-Differential Bridge", cat:"reasoning", desc:"Contrast causal and probabilistic models, then expand the differential from mechanism upward.", ids:[16,18,12]},
  {name:"Precision Confidence Ladder", cat:"reasoning", desc:"Deepen the differential, tighten its wording, then run the Bayesian engine against a reasoning map.", ids:[12,35,36,17]},
  {name:"Global Health Rapid Loop", cat:"reasoning", desc:"Reason under resource constraints, then cycle the cognition loop and pause with a time-out.", ids:[14,32,28]},
  {name:"Repeated Time-Out Drill", cat:"reasoning", desc:"Cycle hypothesis and precipitant-hunting under pressure, then re-check the working diagnosis.", ids:[20,33,32]},
  {name:"Red-Herring vs Hypothesis Check", cat:"reasoning", desc:"Separate distracting findings from load-bearing ones, then deepen the differential they point to.", ids:[37,17,12]},
  {name:"Genetics-Mechanism Cross-Check", cat:"reasoning", desc:"Contrast causal and mechanistic models, then ground a genetics-influenced case in bedside findings.", ids:[18,16,44]},
  {name:"Full Reasoning Map Calibration", cat:"reasoning", desc:"Tighten the differential's wording, run likelihood-ratio math, then chart it on a diagnostic reasoning map.", ids:[35,36,12,50]},
  {name:"Classic Method Confidence Check", cat:"reasoning", desc:"Run the classic hypothesis cycle, then test it with likelihood-ratio reasoning and precise wording.", ids:[56,36,17]},

  // Safety & Risk (batch 3)
  {name:"Anchor-to-Signal Bias Sweep", cat:"safety", desc:"Screen the shortcuts taken, name the anchor, tighten problem representation, then sweep for residual bias.", ids:[24,30,26,17]},
  {name:"Multi-Failure Safety Sweep", cat:"safety", desc:"Sweep for bias, pre-mortem the plan, formally audit failure modes, and simulate cascading system failure together.", ids:[26,42,49,29,38]},
  {name:"Polypharmacy Cascade FMEA", cat:"safety", desc:"Reconcile the med list, formally audit for failure modes, then simulate a cascading crisis around it.", ids:[29,49,13,38]},
  {name:"Precipitant Pre-Mortem", cat:"safety", desc:"Hunt what made the case acute today, then pre-mortem the plan and sweep it for bias.", ids:[42,26,33]},
  {name:"System 1/2 Bias Screen", cat:"safety", desc:"Separate fast and slow reasoning, screen for shortcuts, then sweep for cognitive bias.", ids:[54,24,26]},
  {name:"System Cascade FMEA Combo", cat:"safety", desc:"View the case through its surrounding system, simulate poly-crisis failure, trace harm, and formally audit it.", ids:[38,51,29,49]},
  {name:"Full Med-Safety Net", cat:"safety", desc:"Audit medications, pre-mortem the plan, then run a formal failure-mode pass on the whole workflow.", ids:[49,42,26,13]},
  {name:"Iatrogenic Pre-Mortem Loop", cat:"safety", desc:"Screen for bias, pre-mortem the plan, then trace how harm could cascade from the intervention.", ids:[24,42,29]},

  // Analytics & Data (batch 3)
  {name:"Full-Spectrum Case Analytics", cat:"analytics", desc:"Run the formal research protocol, pull recurring themes, then place them in registry and cross-case context.", ids:[9,5,6,7,25]},
  {name:"Velocity-Theme Registry Sync", cat:"analytics", desc:"Track rate-of-change, extract themes, then check both against registry-wide patterns.", ids:[27,25,6,5]},
  {name:"Counterfactual Theme Extraction", cat:"analytics", desc:"Test what-if branches against the case, then pull recurring themes from the record it leaves behind.", ids:[23,25,7]},
  {name:"Research-Grade Thematic Registry", cat:"analytics", desc:"Run the formal single-case protocol, extract its themes, then place it against registry data and teaching pearls.", ids:[9,6,25,52]},
  {name:"Nested Velocity Watch", cat:"analytics", desc:"Layer sub-analyses within the live case log, then track how fast the resulting trend is moving.", ids:[22,5,27,7]},
  {name:"Registry Pearl Synthesis", cat:"analytics", desc:"Zoom from registry to cross-case patterns, extract themes, then distill it all into teaching pearls.", ids:[6,7,25,52]},

  // Advocacy & Patient Care (batch 3)
  {name:"Family Needs Documentation Bridge", cat:"advocacy", desc:"Assess the patient's stated needs, ground the case record in them, then shape how questions get answered.", ids:[55,2,19,11]},
  {name:"Query-to-Needs Pearl Loop", cat:"advocacy", desc:"Triage patient questions, re-ground them in stated needs and social context, then close with teaching pearls.", ids:[11,19,55,52]},
  {name:"Community Case Monitoring", cat:"advocacy", desc:"Surface social-determinant factors, build the structured record, then keep tracking it longitudinally.", ids:[2,19,3,55]},
  {name:"Needs-Grounded Pearl Distillation", cat:"advocacy", desc:"Assess stated needs, track the case over time, triage questions, then teach from the whole arc.", ids:[55,3,11,52]},
  {name:"Formal Family Research Chain", cat:"advocacy", desc:"Run the N-of-1 protocol on a family-documented case, grounded in stated needs and social context.", ids:[9,55,2,19]},

  // Education & Evidence (batch 3)
  {name:"Frontier Guideline Journal Club", cat:"education", desc:"Read the primary literature, appraise it formally, reconcile it with guidelines, then find its frontier.", ids:[10,46,53,21]},
  {name:"Genetics Pearl Bridge", cat:"education", desc:"Bridge mechanism to bedside finding, reason through a genetics case, then distill it to teaching pearls.", ids:[16,31,52,44]},
  {name:"Guideline Pearl Distillation", cat:"education", desc:"Read the primary literature, reconcile competing guidelines, then close with transferable teaching pearls.", ids:[10,53,52]},
  {name:"Global Frontier Guideline Sweep", cat:"education", desc:"Cross-reference global literature, reconcile guidelines against the evidence frontier and formal appraisal.", ids:[39,53,46,21]},
  {name:"Teach-the-Frontier Loop", cat:"education", desc:"Distill teaching pearls, appraise the evidence formally, then read the primary literature behind its frontier.", ids:[52,46,10,21]},
  {name:"Mechanism-to-Pearl Bridge", cat:"education", desc:"Rebuild the case from mechanism upward, then distill it straight into a teaching pearl summary.", ids:[31,52,46]},

  // Operations & Systems (batch 3)
  {name:"Value-Throughput-Systems Chain", cat:"operations", desc:"Surface social factors, weigh proportional value, optimize throughput, then view the case through its system.", ids:[19,51,40,34]},
  {name:"Ops Implementation Value Loop", cat:"operations", desc:"Optimize ward flow, apply implementation science, then weigh cost against value.", ids:[40,34,41,43]},
  {name:"Resource-Constrained Systems Economics", cat:"operations", desc:"View the case through its system, surface social context, adapt for low-resource settings, then weigh economics.", ids:[51,19,14,43]},
  {name:"Implementation Systems Community Chain", cat:"operations", desc:"Apply implementation science, view the surrounding system, then surface social-determinant factors.", ids:[41,51,34,19]},
  {name:"Full Ops Resource Chain", cat:"operations", desc:"Surface community factors, optimize throughput, adapt for low-resource settings, then view the surrounding system.", ids:[19,40,14,51]},

  // Meta & Framework Design (batch 3)
  {name:"Guideline QA Pearl Chain", cat:"meta", desc:"Apply the module design spec, reconcile guidelines, sweep for bias, then distill teaching pearls.", ids:[8,53,26,52]},
  {name:"Cold-Start Genetics Pearl Arc", cat:"meta", desc:"Orient a new user, apply the QA spec to a genetics case, then close with teaching pearls.", ids:[0,8,44,52]},
  {name:"Full Meta Safety Chain", cat:"meta", desc:"Apply the design spec, formally audit for failure modes, pre-mortem it, then sweep for bias.", ids:[8,49,42,26]},
  {name:"Cold-Start Cognition Pearl Arc", cat:"meta", desc:"Orient a new user, cycle the cognition loop under a recognition-primed call, then teach the pearls.", ids:[0,32,20,52]},

  // Comprehensive Arcs (batch 3)
  {name:"Grand Rounds Master Arc", cat:"arcs", desc:"The full teaching-hospital sweep: Socratic reasoning, deepen the differential, time-out, bias check, pre-mortem, FMEA, value check, then pearls.", ids:[1,12,26,42,49,52,34]},
  {name:"Cold-Start Analytics Pearl Arc", cat:"arcs", desc:"Orient a new user, audit the live case log, extract themes, then close with teaching pearls.", ids:[0,5,25,52]},
  {name:"Research Registry Pearl Arc", cat:"arcs", desc:"Run the formal research protocol, pull themes, place them in registry context, then distill teaching pearls.", ids:[9,52,25,7,6]},
  {name:"Genetics Trajectory Pearl Arc", cat:"arcs", desc:"Reason through a genetics-influenced case, weigh treatment trajectory, then distill it to teaching pearls.", ids:[44,48,52]},
  {name:"Global Health Value Pearl Arc", cat:"arcs", desc:"Adapt for low-resource settings, surface community factors, weigh proportional value, then teach the pearls.", ids:[14,34,52,55]},
];

let selection = []; // array of module ids in click order
let activeCat = CATS[0].key;

function renderTabs(){
  const bar = document.getElementById("tabbar");
  bar.innerHTML = "";
  CATS.forEach(cat=>{
    const count = MODULES.filter(m=>m.cat===cat.key).length;
    if(!count) return;
    const btn = document.createElement("button");
    btn.className = "tabbtn"+(cat.key===activeCat?" active":"");
    btn.style.setProperty("--tab-color", cat.color);
    btn.innerHTML = `<span>${cat.label}</span><span class="n">(${count})</span>`;
    btn.addEventListener("click", ()=>{ activeCat = cat.key; render(); });
    bar.appendChild(btn);
  });
}

function render(){
  renderTabs();
  const container = document.getElementById("categories");
  container.innerHTML = "";
  const cat = CAT_INFO[activeCat];
  const mods = MODULES.filter(m=>m.cat===activeCat);
  const block = document.createElement("div");
  block.className="category";
  const head = document.createElement("div");
  head.className="category-head";
  head.style.background = cat.color;
  head.innerHTML = `<span>${cat.label}</span><span class="n">(${mods.length} modules)</span>`;
  block.appendChild(head);
  const items = document.createElement("div");
  items.className="items";
  mods.forEach(m=>{
    const row = document.createElement("div");
    const checked = selection.includes(m.id);
    row.className = "item"+(checked?" checked":"");
    row.dataset.id = m.id;
    row.innerHTML = `
      <span class="idx">#${String(m.id).padStart(2,'0')}</span>
      <span class="label"><span class="modname"><a href="${m.url}" target="_blank" rel="noopener">${m.name}</a></span><span class="moddesc">${m.desc}</span></span>
      ${checked ? `<span class="seq">${selection.indexOf(m.id)+1}</span>` : `<span class="box"></span>`}
    `;
    row.querySelector(".box, .seq").addEventListener("click", (e)=>{ e.stopPropagation(); toggle(m.id); });
    row.querySelector(".idx").addEventListener("click", ()=>toggle(m.id));
    row.querySelector(".moddesc").addEventListener("click", ()=>toggle(m.id));
    items.appendChild(row);
  });
  block.appendChild(items);
  container.appendChild(block);
  renderPipeline();
  renderPresets();
}

let activePresetCat = "all";

function presetIsActive(p){
  return p.ids.length===selection.length && p.ids.every((id,i)=>selection[i]===id);
}

function renderPresetTabs(){
  const bar = document.getElementById("presetTabbar");
  bar.innerHTML = "";
  const allBtn = document.createElement("button");
  allBtn.className = "preset-tabbtn"+(activePresetCat==="all"?" active":"");
  allBtn.innerHTML = `All Pipelines<span class="n">(${PRESETS.length})</span>`;
  allBtn.addEventListener("click", ()=>{ activePresetCat="all"; renderPresets(); });
  bar.appendChild(allBtn);
  PRESET_CATS.forEach(c=>{
    const count = PRESETS.filter(p=>p.cat===c.key).length;
    if(!count) return;
    const btn = document.createElement("button");
    btn.className = "preset-tabbtn"+(activePresetCat===c.key?" active":"");
    btn.innerHTML = `${c.label}<span class="n">(${count})</span>`;
    btn.addEventListener("click", ()=>{ activePresetCat=c.key; renderPresets(); });
    bar.appendChild(btn);
  });
}

function renderPresets(){
  renderPresetTabs();
  const grid = document.getElementById("presetGrid");
  grid.innerHTML = "";
  const list = activePresetCat==="all" ? PRESETS : PRESETS.filter(p=>p.cat===activePresetCat);
  list.forEach(p=>{
    const info = PRESET_CAT_INFO[p.cat];
    const isActive = presetIsActive(p);
    const card = document.createElement("button");
    card.className = "preset-card"+(isActive?" active":"");
    card.style.setProperty("--preset-c", info.color);
    card.style.setProperty("--preset-c-soft", info.soft);
    card.innerHTML = `${isActive ? `<span class="pcheck">✓ Loaded</span>` : ""}<div class="pcat">${info.label}</div><div class="pname">${p.name}</div><div class="pdesc">${p.desc}</div><div class="pcount">${p.ids.length} modules</div>`;
    card.addEventListener("click", ()=>{
      selection = p.ids.slice();
      const firstMod = MODULES.find(m=>m.id===selection[0]);
      if(firstMod) activeCat = firstMod.cat;
      render();
    });
    grid.appendChild(card);
  });
}

function toggle(id){
  const i = selection.indexOf(id);
  if(i>-1){ selection.splice(i,1); } else { selection.push(id); }
  render();
}

function renderPipeline(){
  const ol = document.getElementById("pchain");
  ol.innerHTML = "";
  if(selection.length===0){
    ol.innerHTML = `<div class="empty-note">No modules selected yet. Tap any module on the left to begin the chain.</div>`;
    document.getElementById("analyticsBlock").style.display="none";
    return;
  }
  selection.forEach((id,i)=>{
    const m = MODULES.find(x=>x.id===id);
    const li = document.createElement("li");
    li.innerHTML = `<span class="pnum">${i+1}</span><span><span class="pname">${m.name}</span><span class="pcat">${CAT_INFO[m.cat].label}</span></span>`;
    ol.appendChild(li);
  });
  renderAnalytics();
}

function renderAnalytics(){
  const block = document.getElementById("analyticsBlock");
  block.style.display = "block";
  const mods = selection.map(id=>MODULES.find(m=>m.id===id));
  const counts = {};
  CATS.forEach(c=>counts[c.key]=0);
  mods.forEach(m=>counts[m.cat]++);
  const total = mods.length;

  // lens tags: categories present, in order of first appearance
  const seen = [];
  mods.forEach(m=>{ if(!seen.includes(m.cat)) seen.push(m.cat); });
  const tagsEl = document.getElementById("lensTags");
  tagsEl.innerHTML = seen.map(k=>`<span class="lens-tag">${CAT_INFO[k].label.split(" &")[0].split(",")[0]}</span>`).join("");

  // narrative
  const dominant = seen[0];
  const spanCats = seen.length;
  let text = "";
  if(total===1){
    text = `A single-module run. Expect a narrow, deep pass focused on ${CAT_INFO[dominant].label.toLowerCase()} — good for isolating one lens cleanly, but you'll get no cross-check against other reasoning styles.`;
  } else if(spanCats===1){
    text = `Every module chosen sits inside ${CAT_INFO[dominant].label.toLowerCase()}. This stacks depth rather than breadth — the case gets worked over repeatedly from the same angle, which sharpens that one skill but won't catch blind spots outside it.`;
  } else {
    const catNames = seen.map(k=>CAT_INFO[k].label.split(" &")[0].split(",")[0]);
    text = `This chain runs the case through ${spanCats} distinct lenses in this order: ${catNames.join(" → ")}. `;
    if(counts.safety>0 && counts.reasoning>0){
      text += `Pairing a safety/failure module with a reasoning module tends to surface where a plausible diagnostic story could also be the one that gets someone hurt. `;
    }
    if(counts.analytics>0 && counts.advocacy>0){
      text += `Mixing registry-style analytics with advocacy modules pulls both the population-level pattern and the single-patient narrative into the same run. `;
    }
    if(counts.education>0){
      text += `The education-layer module(s) will anchor whatever's found back to a citable mechanism or literature source rather than leaving it as pattern-matching. `;
    }
    if(counts.operations>0){
      text += `Operations/economics modules reframe the same findings in terms of workflow, cost, or system feasibility, which is a genuinely different output than pure diagnosis. `;
    }
    if(counts.meta>0){
      text += `Meta/framework modules in the mix will shape *how* the other steps are asked, rather than adding case content themselves.`;
    }
  }
  document.getElementById("analyticsText").textContent = text.trim();

  // meters: show category weight distribution
  const metersEl = document.getElementById("meters");
  metersEl.innerHTML = "";
  CATS.forEach(c=>{
    if(counts[c.key]===0) return;
    const pct = Math.round((counts[c.key]/total)*100);
    const div = document.createElement("div");
    div.className="meter";
    div.innerHTML = `
      <div class="mlabel"><span>${c.label.split(" &")[0].split(",")[0]}</span><span>${counts[c.key]}/${total}</span></div>
      <div class="mbar"><div class="mfill" style="width:${pct}%; background:${c.color};"></div></div>
    `;
    metersEl.appendChild(div);
  });
}

document.getElementById("clearBtn").addEventListener("click", ()=>{ selection=[]; render(); if(typeof trackEvent === 'function') trackEvent('clear_chain', {}); });
document.getElementById("copyBtn").addEventListener("click", ()=>{
  const btn = document.getElementById("copyBtn");
  if(typeof trackEvent === 'function') trackEvent('copy_pipeline', {moduleCount: selection.length});
  if(selection.length===0){
    const old = btn.textContent;
    btn.textContent = "Tick modules first";
    setTimeout(()=>btn.textContent=old, 1400);
    return;
  }
  const caseText = document.getElementById("caseText").value.trim();
  const caseLink = document.getElementById("caseLink").value.trim();
  const caseParts = [];
  if(caseText) caseParts.push(`CASE:\n${caseText}`);
  if(caseLink) caseParts.push(`CASE LINK:\n${caseLink}`);
  const caseBlock = caseParts.length ? caseParts.join("\n\n") : "CASE:\n[none provided]";
  const pipelineBlock = selection.map((id,i)=>{
    const m = MODULES.find(x=>x.id===id);
    return `${i+1}. Module ${m.id} — ${m.name}\n${m.url}`;
  }).join("\n\n");

  // Build a detailed insights block from the same analytics the on-screen panel shows
  const selMods = selection.map(id=>MODULES.find(m=>m.id===id));
  const counts = {};
  CATS.forEach(c=>counts[c.key]=0);
  selMods.forEach(m=>counts[m.cat]++);
  const total = selMods.length;
  const seenCats = [];
  selMods.forEach(m=>{ if(!seenCats.includes(m.cat)) seenCats.push(m.cat); });
  const catShortLabel = k => CAT_INFO[k].label.split(" &")[0].split(",")[0];

  const narrative = document.getElementById("analyticsText").textContent.trim();
  const lensSequence = seenCats.map(catShortLabel).join(" → ");
  const breakdown = CATS
    .filter(c=>counts[c.key]>0)
    .map(c=>`${catShortLabel(c.key)}: ${counts[c.key]}/${total}`)
    .join(" · ");

  const insightsBlock = [
    "INSIGHTS:",
    narrative,
    "",
    `Lens sequence: ${lensSequence}`,
    `Lens distribution: ${breakdown}`
  ].join("\n");

  const text = `${caseBlock}\n\nRUN PIPELINE:\n${pipelineBlock}\n\n${insightsBlock}`;
  const old = btn.textContent;

  function flash(msg, ms){
    btn.textContent = msg;
    setTimeout(()=>btn.textContent=old, ms || 1400);
  }

  function fallbackCopy(){
    const ta = document.createElement("textarea");
    ta.value = text;
    ta.style.position = "fixed";
    ta.style.left = "-9999px";
    document.body.appendChild(ta);
    ta.focus();
    ta.select();
    let ok = false;
    try{ ok = document.execCommand("copy"); }catch(e){ ok = false; }
    document.body.removeChild(ta);
    if(ok){ flash("Copied ✓"); }
    else{ flash("Copy failed — select & copy manually", 2200); }