0ff091c173
- generateSampleRosterCSV(): 120-180 randomized rows per call, timestamp-prefixed IDs (no dedup on re-upload, no static 25 row lie) - /system/summary: truth via SQL COUNT(*), surfaces manifest_drift (caught candidates: manifest 100K, actual 1K) - search.html: loadSystemSummary() hydrates live counts; removed hard-coded 500K strings - MCP tool description: "candidates (100K)" → "candidates (1K)", added "workers_500k (500K)"
471 lines
26 KiB
HTML
471 lines
26 KiB
HTML
<!DOCTYPE html>
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<html lang="en"><head>
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<meta charset="utf-8"><meta name="viewport" content="width=device-width,initial-scale=1">
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<title>Lakehouse — What Your Staffing System Would Do</title>
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</style></head>
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<body>
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<div class="bar">
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<h1>Lakehouse — What Your Staffing System Would Do</h1>
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<nav>
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<a href=".">Dashboard</a>
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<a href="console" class="active">Walkthrough</a>
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<a href="proof">Architecture</a>
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<a href="spec">Spec</a>
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<a href="onboard">Onboard</a>
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<a href="alerts">Alerts</a>
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<a href="workspaces">Workspaces</a>
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</nav>
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<div class="rt" id="hdr-time">Reading live state…</div>
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</div>
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<div class="wrap">
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<div class="chapter">
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<div class="num">Chapter 1</div>
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<h2>Right now, this system is already thinking</h2>
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<div class="lede">Before you touched anything, it pulled real Chicago building-permit data, measured demand, checked your bench, and began flagging roles that need attention. This isn't theoretical — open your browser network tab and watch the fetches land.</div>
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<div class="grid" id="ch1-stats"><div class="loading">Fetching live state…</div></div>
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<div class="narr" id="ch1-narr"></div>
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</div>
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<div class="chapter">
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<div class="num">Chapter 2</div>
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<h2>The demand signal is real, not made up</h2>
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<div class="lede">Chicago's Department of Buildings publishes every permit they issue. Below are the largest categories of construction filed in the last 30 days. If a staffer doesn't believe our numbers, they can verify at <a href="https://data.cityofchicago.org/Buildings/Building-Permits/ydr8-5enu" target="_blank" rel="noopener">data.cityofchicago.org</a>.</div>
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<div id="ch2-permits"><div class="loading">Loading permit feed…</div></div>
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</div>
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<div class="chapter">
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<div class="num">Chapter 3</div>
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<h2>Where your own data would live</h2>
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<div class="lede">The system stores data in labeled catalogs. Purple pills = synthetic stand-ins you'd swap for your real ATS/CRM/call-log exports. Blue pills = data the system generates about itself (playbooks, audit trails). Nothing else in the pipeline changes — only the source.</div>
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<div id="ch3-datasets"><div class="loading">Enumerating catalog…</div></div>
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<div class="narr">
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<strong>The swap path.</strong> workers_500k → your ATS export (same schema shape). candidates → your CRM. call_log → your phone system's CDR. timesheets → your payroll export. Once ingested, every behavior you see on the dashboard applies to your real data. No re-training. No replatform.
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</div>
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</div>
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<div class="chapter">
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<div class="num">Chapter 4</div>
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<h2>Watch the system rank candidates in real time</h2>
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<div class="lede">This takes the most recent Chicago permit, derives the staffing need, pulls ranked candidates from the bench, and shows you why each one ranked. Everything below loaded in about 3 seconds against the live system.</div>
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<div id="ch4-demo"><div class="loading">Running demo query…</div></div>
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</div>
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<div class="chapter">
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<div class="num">Chapter 5</div>
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<h2>Every action compounds — the CRM-killer</h2>
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<div class="lede">A CRM stores. This system compounds. Every successful fill, every no-show, every phone call becomes a re-ranking signal on the next query. Below is the live playbook memory state. The number grows as the app gets used.</div>
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<div id="ch5-memory"><div class="loading">Reading playbook memory…</div></div>
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</div>
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<div class="chapter">
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<div class="num">Chapter 6</div>
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<h2>Try it yourself</h2>
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<div class="lede">Type any staffing question. The system picks the right search path (smart-parse, semantic discovery, analytics), shows what it understood, and returns ranked results with memory signal.</div>
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<div class="try-box">
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<input type="text" id="try-q" placeholder="e.g. reliable forklift operators in Chicago with OSHA certs" onkeydown="if(event.key==='Enter')runTry()">
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<button id="try-btn" onclick="runTry()">Ask</button>
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<div id="try-out" style="margin-top:16px"></div>
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</div>
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</div>
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</div>
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<div class="footer">Lakehouse · demo instance · <a href="proof">architecture & benchmarks</a></div>
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<script>
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var P=location.pathname.indexOf('/lakehouse')>=0?'/lakehouse':'';
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var A=location.origin+P;
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// DOM helpers — all dynamic content goes through these. No innerHTML
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// anywhere in the script; every API-derived string passes through
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// textContent so no injection path regardless of upstream data.
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function el(tag, cls, text){
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var e=document.createElement(tag);
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if(cls) e.className=cls;
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if(text!==undefined && text!==null) e.textContent=String(text);
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return e;
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}
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function setAttrs(e, obj){
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for(var k in obj) if(Object.prototype.hasOwnProperty.call(obj,k)) e.setAttribute(k,obj[k]);
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return e;
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}
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function api(path, body){
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return fetch(A+path,{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify(body||{})}).then(function(r){return r.json()});
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}
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function apiGet(path){
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return fetch(A+path).then(function(r){return r.json()});
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}
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window.addEventListener('load',function(){
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loadChapter1();
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loadChapter2();
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loadChapter3();
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loadChapter4();
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loadChapter5();
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});
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// ─── Chapter 1 ────────────────────────────────────────────
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function loadChapter1(){
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Promise.all([
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api('/intelligence/staffing_forecast',{}).catch(function(){return {}}),
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apiGet('/api/vectors/playbook_memory/stats').catch(function(){return {}}),
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apiGet('/api/catalog/datasets').catch(function(){return []}),
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]).then(function(all){
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var f=all[0]||{}, mem=all[1]||{}, ds=all[2]||[];
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var totalRows=0;
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if(Array.isArray(ds)) ds.forEach(function(d){totalRows+=(d.row_count||0)});
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var host=document.getElementById('ch1-stats');host.textContent='';
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addStat(host,'$'+(f.total_cost||0).toLocaleString('en-US',{maximumFractionDigits:0}),'Construction pipeline',(f.permit_count||0)+' permits last 30 days','accent-b');
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addStat(host,(f.total_estimated_workers||0).toLocaleString(),'Predicted worker demand','split across '+((f.forecast||[]).length)+' roles','accent-w');
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addStat(host,(totalRows||0).toLocaleString(),'Rows under management',(Array.isArray(ds)?ds.length:0)+' datasets · real + synthetic','accent-a');
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addStat(host,(mem.entries||0).toLocaleString(),'Playbooks remembered',(mem.total_names_endorsed||0)+' endorsed worker-tags','accent-l');
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var narrEl=document.getElementById('ch1-narr');
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narrEl.textContent='';
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var critical=(f.critical_roles||0), tight=(f.tight_roles||0);
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if(critical>0){
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narrEl.appendChild(document.createTextNode('The system has already flagged '));
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narrEl.appendChild(el('strong',null,critical+' role'+(critical!==1?'s':'')+' at critical coverage'));
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narrEl.appendChild(document.createTextNode(' — supply is below demand. A CRM would surface this only if someone ran the report. This system surfaces it before you log in.'));
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} else if(tight>0){
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narrEl.appendChild(document.createTextNode('The system flagged '));
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narrEl.appendChild(el('strong',null,tight+' role'+(tight!==1?'s':'')+' as tight'));
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narrEl.appendChild(document.createTextNode(' — watch for supply compression. Pre-emptive signal, no query required.'));
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} else {
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narrEl.textContent='No coverage gaps right now — bench exceeds predicted demand across all roles. The system is tracking this continuously; check back tomorrow and the numbers will have moved.';
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}
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}).catch(function(e){
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var h=document.getElementById('ch1-stats');h.textContent='';h.appendChild(el('div','err','Live state unavailable: '+(e.message||e)));
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});
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document.getElementById('hdr-time').textContent='Snapshot · '+new Date().toLocaleTimeString();
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}
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function addStat(host,n,l,sub,cls){
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var d=el('div','card stat-lg '+(cls||''));
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d.appendChild(el('div','n',n));
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d.appendChild(el('div','l',l));
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d.appendChild(el('div','sub',sub||''));
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host.appendChild(d);
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}
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// ─── Chapter 2 ────────────────────────────────────────────
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function loadChapter2(){
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api('/intelligence/market',{}).then(function(r){
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var host=document.getElementById('ch2-permits');host.textContent='';
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if(r.error){host.appendChild(el('div','err','Permit feed error: '+r.error));return}
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var byType=r.by_type||[];
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if(byType.length===0){host.appendChild(el('div','narr','No permits returned by the Chicago API right now.'));return}
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byType.slice(0,8).forEach(function(t){
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var det=document.createElement('details');
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var summary=document.createElement('summary');
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summary.appendChild(el('span','pill real','LIVE · DATA.CITYOFCHICAGO.ORG'));
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summary.appendChild(document.createTextNode(' '));
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var wt=el('strong',null,t.work_type||'General construction');
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summary.appendChild(wt);
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summary.appendChild(document.createTextNode(' · '+(t.permits||0)+' permits · $'+(t.total_cost||0).toLocaleString('en-US',{maximumFractionDigits:0})+' · est '+(t.estimated_workers||0)+' workers needed'));
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det.appendChild(summary);
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var body=el('div','body');
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body.appendChild(document.createTextNode('Likely roles: '+((t.needed_roles||[]).join(', ')||'—')+'. '));
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body.appendChild(document.createTextNode('At industry heuristic (~$150K per worker), this work type alone implies '));
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body.appendChild(el('strong',null,(t.estimated_workers||0)+' staffing opportunities'));
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body.appendChild(document.createTextNode(' over the next 30-60 days.'));
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det.appendChild(body);
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host.appendChild(det);
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||
});
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}).catch(function(e){
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var h=document.getElementById('ch2-permits');h.textContent='';h.appendChild(el('div','err',e.message||String(e)));
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});
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}
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// ─── Chapter 3 ────────────────────────────────────────────
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function loadChapter3(){
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apiGet('/api/catalog/datasets').then(function(ds){
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var host=document.getElementById('ch3-datasets');host.textContent='';
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||
if(!Array.isArray(ds)){host.appendChild(el('div','err','No datasets returned.'));return}
|
||
var bigOnes=ds.filter(function(d){return (d.row_count||0)>=500}).sort(function(a,b){return (b.row_count||0)-(a.row_count||0)});
|
||
var playbookKeys=['successful_playbooks','playbook_memory','kb_'];
|
||
bigOnes.slice(0,12).forEach(function(d){
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||
var row=el('div','row');
|
||
var left=document.createElement('div');left.style.flex='1';left.style.minWidth='0';
|
||
var t=el('div','title');
|
||
var pillCls='synth', pillLabel='SWAP FOR YOUR DATA';
|
||
if(playbookKeys.some(function(k){return (d.name||'').indexOf(k)>=0})){pillCls='flow';pillLabel='SYSTEM-GENERATED'}
|
||
else if((d.name||'').indexOf('threat_')===0){pillCls='flow';pillLabel='SYSTEM-GENERATED'}
|
||
t.appendChild(el('span','pill '+pillCls,pillLabel));
|
||
t.appendChild(document.createTextNode(' '+(d.name||'(unnamed)')));
|
||
var m=el('div','meta',(d.columns?d.columns.length+' columns · ':'')+(d.objects?d.objects.length+' parquet file'+(d.objects.length!==1?'s':''):''));
|
||
left.appendChild(t);left.appendChild(m);
|
||
var v=el('div','val',(d.row_count||0).toLocaleString()+' rows');
|
||
row.appendChild(left);row.appendChild(v);host.appendChild(row);
|
||
});
|
||
}).catch(function(e){
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var h=document.getElementById('ch3-datasets');h.textContent='';h.appendChild(el('div','err','Catalog unavailable: '+(e.message||e)));
|
||
});
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||
}
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// ─── Chapter 4 ────────────────────────────────────────────
|
||
function loadChapter4(){
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api('/intelligence/permit_contracts',{}).then(function(r){
|
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var host=document.getElementById('ch4-demo');host.textContent='';
|
||
if(!r.contracts||r.contracts.length===0){host.appendChild(el('div','loading','No contracts returned.'));return}
|
||
var c=r.contracts[0];
|
||
var p=c.permit||{}, prop=c.proposed||{}, tl=c.timeline||{};
|
||
var card=el('div','card accent-b');
|
||
var title=el('div',null,'$'+(p.cost||0).toLocaleString()+' · '+(p.work_type||''));
|
||
title.style.cssText='font-size:15px;font-weight:600;color:#e6edf3';
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||
card.appendChild(title);
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||
var addr=el('div',null,(p.address||'')+' · Chicago, IL · filed '+(p.issue_date||''));
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||
addr.style.cssText='color:#8b949e;font-size:12px;margin-top:2px';
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card.appendChild(addr);
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|
||
card.appendChild(el('div','step-label','STEP 1 · Derive staffing need'));
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var s1=el('div','step-body');
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||
s1.appendChild(document.createTextNode('Industry heuristic: ~1 worker per $150K of permit cost, capped 2-8. Resulting contract: '));
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||
s1.appendChild(el('strong',null,(prop.count||0)+'× '+(prop.role||'')));
|
||
s1.appendChild(document.createTextNode(' in Chicago, IL.'));
|
||
card.appendChild(s1);
|
||
|
||
card.appendChild(el('div','step-label','STEP 2 · Narrow via SQL ('+((prop.pool_size||0).toLocaleString())+' candidates match)'));
|
||
card.appendChild(el('div','step-body',"role = '"+(prop.role||'')+"' AND state = 'IL' AND city = 'Chicago' AND CAST(availability AS DOUBLE) > 0.5"));
|
||
|
||
card.appendChild(el('div','step-label','STEP 3 · Rank via semantic match + playbook boost'));
|
||
host.appendChild(card);
|
||
|
||
var list=document.createElement('div');list.style.marginTop='6px';
|
||
(prop.candidates||[]).slice(0,5).forEach(function(cand,i){
|
||
var w=el('div','worker');
|
||
var initials=(cand.name||'?').split(' ').map(function(s){return (s[0]||'').toUpperCase()}).join('').substring(0,2);
|
||
w.appendChild(el('div','av',initials));
|
||
var info=el('div','info');
|
||
var nm=el('div','nm',cand.name||cand.doc_id||'?');
|
||
if((cand.playbook_boost||0)>0){
|
||
var ncit=(cand.playbook_citations||[]).length;
|
||
nm.appendChild(el('span','boost-chip','Endorsed · '+ncit+' past fill'+(ncit!==1?'s':'')));
|
||
}
|
||
info.appendChild(nm);
|
||
var why=cand.doc_id+' · '+(cand.playbook_boost>0?'boosted +'+cand.playbook_boost.toFixed(3)+' by memory · ':'')+'semantic score '+(cand.score||0).toFixed(3);
|
||
info.appendChild(el('div','why',why));
|
||
w.appendChild(info);
|
||
w.appendChild(el('div','score','#'+(i+1)));
|
||
list.appendChild(w);
|
||
});
|
||
card.appendChild(list);
|
||
|
||
if(c.discovered_pattern||c.pattern_matched>0){
|
||
var mem=el('div','mem-chip');
|
||
mem.appendChild(el('span','l','MEMORY ('+(c.pattern_matched||0)+' past playbooks):'));
|
||
mem.appendChild(document.createTextNode(' '+(c.discovered_pattern||'memory is sparse for this role+geo')));
|
||
card.appendChild(mem);
|
||
}
|
||
|
||
if(tl.days_to_deadline!==undefined){
|
||
var tm=document.createElement('div');
|
||
tm.style.cssText='margin-top:12px;padding-top:10px;border-top:1px solid #171d27;font-size:12px;color:#8b949e';
|
||
tm.appendChild(el('strong',null,'Timeline. '));
|
||
tm.childNodes[0].style && (tm.childNodes[0].style.color='#c9d1d9');
|
||
var dd=tl.days_to_deadline;
|
||
var when=(dd<=0?Math.abs(dd)+' days overdue':dd+' days out');
|
||
tm.appendChild(document.createTextNode('Staffing window opens '+(tl.staffing_window_opens||'')+' ('+when+'). Construction starts '+(tl.estimated_construction_start||'')+'. Urgency: '));
|
||
tm.appendChild(el('strong',null,(tl.urgency||'').toUpperCase()));
|
||
tm.appendChild(document.createTextNode('.'));
|
||
card.appendChild(tm);
|
||
}
|
||
|
||
var note=el('div','narr');
|
||
note.appendChild(el('strong',null,'This is the CRM gap. '));
|
||
note.appendChild(document.createTextNode('A CRM would tell you the permit exists. It would NOT narrow to matching candidates, would NOT boost past-successful workers, would NOT flag patterns across similar past fills, would NOT count down to the deadline. All that happens here, pre-computed, before the staffer clicks anything.'));
|
||
host.appendChild(note);
|
||
}).catch(function(e){
|
||
var h=document.getElementById('ch4-demo');h.textContent='';h.appendChild(el('div','err','Demo failed: '+(e.message||e)));
|
||
});
|
||
}
|
||
|
||
// ─── Chapter 5 ────────────────────────────────────────────
|
||
function loadChapter5(){
|
||
apiGet('/api/vectors/playbook_memory/stats').then(function(mem){
|
||
var host=document.getElementById('ch5-memory');host.textContent='';
|
||
var card=el('div','card accent-l');
|
||
var big=el('div',null,(mem.entries||0).toLocaleString());
|
||
big.style.cssText='font-size:30px;font-weight:800;color:#e6edf3;line-height:1';
|
||
card.appendChild(big);
|
||
var lb=el('div',null,'Playbooks in memory');
|
||
lb.style.cssText='font-size:10px;color:#545d68;text-transform:uppercase;letter-spacing:1.2px;margin-top:8px;font-weight:600';
|
||
card.appendChild(lb);
|
||
var sub=el('div',null,(mem.total_names_endorsed||0).toLocaleString()+' endorsed worker-tags · each one boosts future matching queries');
|
||
sub.style.cssText='font-size:12px;color:#8b949e;margin-top:4px';
|
||
card.appendChild(sub);
|
||
host.appendChild(card);
|
||
|
||
if(mem.sample&&mem.sample.length){
|
||
var hdr=document.createElement('div');
|
||
hdr.style.cssText='color:#545d68;font-size:11px;text-transform:uppercase;letter-spacing:1.4px;font-weight:600;margin:14px 0 8px';
|
||
hdr.textContent='Sample playbooks held in memory right now';
|
||
host.appendChild(hdr);
|
||
mem.sample.slice(0,5).forEach(function(pb){
|
||
var row=el('div','row');
|
||
var left=document.createElement('div');left.style.flex='1';left.style.minWidth='0';
|
||
left.appendChild(el('div','title',pb.operation||'(no operation)'));
|
||
left.appendChild(el('div','meta',(pb.city||'')+', '+(pb.state||'')+' · endorsed: '+((pb.endorsed||[]).slice(0,3).join(', ')||'—')));
|
||
row.appendChild(left);host.appendChild(row);
|
||
});
|
||
}
|
||
|
||
var narr=el('div','narr');
|
||
narr.appendChild(el('strong',null,'What this means for a staffer. '));
|
||
narr.appendChild(document.createTextNode('When you log a successful fill, this counter grows by one. Next time someone searches for a similar role+city, the system finds your past pick and boosts them to the top. Over months, the system becomes a record of who has actually worked out — not just who is on the roster.'));
|
||
host.appendChild(narr);
|
||
}).catch(function(e){
|
||
var h=document.getElementById('ch5-memory');h.textContent='';h.appendChild(el('div','err','Memory unavailable: '+(e.message||e)));
|
||
});
|
||
}
|
||
|
||
// ─── Chapter 6 ────────────────────────────────────────────
|
||
function runTry(){
|
||
var q=document.getElementById('try-q').value.trim();if(!q)return;
|
||
var btn=document.getElementById('try-btn'),out=document.getElementById('try-out');
|
||
btn.disabled=true;btn.textContent='Thinking…';out.textContent='';out.appendChild(el('div','loading','Running…'));
|
||
api('/intelligence/chat',{message:q}).then(function(d){
|
||
btn.disabled=false;btn.textContent='Ask';out.textContent='';
|
||
var card=el('div','card accent-b');
|
||
if(d.understood&&d.understood.length){
|
||
var tags=document.createElement('div');tags.style.cssText='display:flex;gap:6px;flex-wrap:wrap;margin-bottom:10px';
|
||
d.understood.forEach(function(u){
|
||
var tg=el('span',null,u);
|
||
tg.style.cssText='padding:3px 10px;border-radius:10px;font-size:11px;background:#1a274420;color:#58a6ff;border:1px solid #1a274480';
|
||
tags.appendChild(tg);
|
||
});
|
||
card.appendChild(tags);
|
||
}
|
||
var sum=el('div',null,d.summary||'(no summary)');
|
||
sum.style.cssText='color:#c9d1d9;font-size:13px;margin-bottom:10px';
|
||
card.appendChild(sum);
|
||
|
||
if(d.pattern_playbooks_matched>0&&d.discovered_pattern){
|
||
var mem=el('div','mem-chip');
|
||
mem.appendChild(el('span','l','MEMORY ('+d.pattern_playbooks_matched+' playbooks):'));
|
||
mem.appendChild(document.createTextNode(' '+d.discovered_pattern));
|
||
card.appendChild(mem);
|
||
}
|
||
|
||
var workers=d.sql_results||d.vector_results||d.results||[];
|
||
workers.slice(0,5).forEach(function(w,i){
|
||
var row=el('div','worker');
|
||
var nm=w.name||(w.text||'').split('—')[0].trim()||w.doc_id||'?';
|
||
var initials=nm.split(' ').map(function(s){return (s[0]||'').toUpperCase()}).join('').substring(0,2);
|
||
row.appendChild(el('div','av',initials));
|
||
var info=el('div','info');
|
||
var n=el('div','nm',nm);
|
||
if((w.playbook_boost||0)>0){
|
||
n.appendChild(el('span','boost-chip','Endorsed · '+((w.playbook_citations||[]).length||'?')+' past fill(s)'));
|
||
}
|
||
info.appendChild(n);
|
||
var bits=[];
|
||
if(w.role) bits.push(w.role);
|
||
if(w.city&&w.state) bits.push(w.city+', '+w.state);
|
||
if(w.rel!==undefined) bits.push('reliability '+Math.round(w.rel*100)+'%');
|
||
if(w.avail!==undefined) bits.push('availability '+Math.round(w.avail*100)+'%');
|
||
info.appendChild(el('div','why',bits.join(' · ')||'AI semantic match'));
|
||
row.appendChild(info);
|
||
row.appendChild(el('div','score','#'+(i+1)));
|
||
card.appendChild(row);
|
||
});
|
||
var meta=el('div',null,(d.duration_ms||0)+'ms · type='+(d.type||'smart_search'));
|
||
meta.style.cssText='color:#545d68;font-size:11px;margin-top:10px';
|
||
card.appendChild(meta);
|
||
out.appendChild(card);
|
||
}).catch(function(e){
|
||
btn.disabled=false;btn.textContent='Ask';
|
||
out.textContent='';out.appendChild(el('div','err',e.message||String(e)));
|
||
});
|
||
}
|
||
</script>
|
||
</body></html>
|