demo: System Activity panel — capability index reflects every recent shipment
Old panel showed playbook ops + search counts and went empty in a
fresh demo (no operations yet). J: "update System Activity to coincide
with all of our recent updates."
Rebuilt as a live capability index — each tile is a thing the
substrate has learned to do, with the metric proving it's running.
Pulled in parallel from /staffers, /system/summary,
/api/vectors/playbook_memory/stats, /api/vectors/pathway/stats,
/intelligence/profiler_index, /intelligence/activity. Each probe
catches its own error so a single missing endpoint doesn't collapse
the panel.
Nine capability cards (verified end-to-end on devop.live/lakehouse):
1. Per-staffer hot-swap index 3 personas (Maria/Devon/Aisha)
2. Construction Activity Signal Engine 11 issuers · $347M attributed
build value · network 11/14
3. Late-worker / no-show triage one-shot — name+late → backfills+SMS
4. Permit → staffing bridge 24/day, every Chicago permit ≥$250K
5. Hybrid SQL + vector search 500K workers · 5,474 playbook entries
6. Schema-agnostic ingestion 36 datasets · 2.98M rows
7. Contractor profile + project index 6 wired · 12 queued sources
8. Pathway memory 88 traces · 11/11 replays · 100%
9. Ticker association network 11 tickers · 3 direct + 11 associated
Each card carries:
- capability title + ship date pill ("baseline" or "shipped 2026-04-27")
- big metric (live, not pre-baked)
- sub-context line in coordinator language
- "why a staffer cares" explanation
- optional "Open →" deep link to the surface (Profiler, Contractor)
Header + intro paragraph reframed: "what the substrate has learned to
do" instead of "what the substrate has learned." Operational learning
(fills, playbooks, hot-swaps) compounds INSIDE each capability; the
panel surfaces the set of capabilities the corpus knows how to express.
Closing operational-stats row at the bottom shows fills/searches/
recent playbooks when /intelligence/activity has any.
This commit is contained in:
root
parent
a789000982
commit
db81fd8836
@ -318,18 +318,18 @@ body{font-family:'Inter',-apple-system,system-ui,'Segoe UI',sans-serif;backgroun
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<div id="sresults"></div>
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</div>
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<!-- ═══ ④ System Activity — how the substrate is learning ═══ -->
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<!-- ═══ ④ System Activity — what the substrate has learned to do ═══ -->
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<div class="section" id="learning-section">
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<div class="section-header">
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<span class="section-title" style="color:#e6edf3;font-size:13px">④ System Activity — how the substrate learns</span>
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<span class="section-meta">Playbook memory, pathway traces, self-tuning indices</span>
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<span class="section-title" style="color:#e6edf3;font-size:13px">④ System Activity — what the substrate has learned to do</span>
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<span class="section-meta">Live capabilities · pulled from each subsystem on load</span>
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</div>
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<p style="color:#8b949e;font-size:11px;margin:0 0 12px;line-height:1.5;max-width:680px">
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Every completed fill, every accepted playbook, every rejected candidate feeds
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back into the substrate. This strip shows what the system has learned since
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the last run — which patterns are compounding, which memories are fresh,
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which indices are being exercised. If it's empty, the system hasn't seen
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enough traffic yet to form a memory worth showing.
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<p style="color:#8b949e;font-size:11px;margin:0 0 12px;line-height:1.5;max-width:780px">
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Each tile is a capability the system has acquired and the live metric proving
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it's running. Operational learning (fills, playbooks, hot-swaps) compounds
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inside each capability; what changes here is the <em>set of things the
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substrate knows how to do</em>. The architecture is metro-agnostic — every
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capability replicates by config, not code.
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</p>
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<div id="learning"></div>
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</div>
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@ -2698,60 +2698,228 @@ function flashBtn(btn,label){
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function logSelection(workerData){ logAction(workerData, 'call', null); }
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function loadLearning(){
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api('/intelligence/activity',{}).then(function(d){
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// Pull every capability's live metric in parallel. Each fetch
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// catches its own error so a single missing endpoint doesn't
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// collapse the whole panel — that capability just renders with
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// a "—" stat and a "probe failed" hint.
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var probes = [
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fetch(P+'/staffers').then(function(r){return r.json()}).catch(function(){return null}),
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fetch(P+'/system/summary').then(function(r){return r.json()}).catch(function(){return null}),
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fetch(A+'/api/vectors/playbook_memory/stats').then(function(r){return r.json()}).catch(function(){return null}),
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fetch(A+'/api/vectors/pathway/stats').then(function(r){return r.json()}).catch(function(){return null}),
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fetch(P+'/intelligence/profiler_index',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({limit:200})}).then(function(r){return r.json()}).catch(function(){return null}),
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api('/intelligence/activity',{}).catch(function(){return null}),
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];
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Promise.all(probes).then(function(results){
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var staffers = results[0], sysSum = results[1], pbk = results[2], pwm = results[3], prof = results[4], act = results[5];
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var el=document.getElementById('learning');
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el.textContent='';
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var total=d.total_operations||0;
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if(total===0&&(!d.playbooks||!d.playbooks.length))return; // nothing to show yet
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var grid=document.createElement('div');
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grid.style.cssText='display:grid;grid-template-columns:repeat(auto-fit,minmax(290px,1fr));gap:12px';
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el.appendChild(grid);
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var card=document.createElement('div');card.className='insight info';
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var lb=document.createElement('div');lb.className='label';lb.textContent='SYSTEM LEARNING';
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var hl=document.createElement('div');hl.className='headline';hl.textContent='The System Gets Smarter With Every Use';
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var sub=document.createElement('div');sub.className='sub';
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sub.textContent='Every search, every placement, every simulation teaches the system what works. '+total+' operations logged so far.';
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card.appendChild(lb);card.appendChild(hl);card.appendChild(sub);
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// Stats row
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var stats=document.createElement('div');stats.style.cssText='display:flex;gap:16px;margin-bottom:12px';
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addLearnStat(stats,d.fill_count||0,'Contract Fills','#3fb950');
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addLearnStat(stats,d.search_count||0,'Searches','#58a6ff');
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addLearnStat(stats,(d.learned_patterns||[]).length,'Patterns','#bc8cff');
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card.appendChild(stats);
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// Learned patterns
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if(d.learned_patterns&&d.learned_patterns.length){
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var ph=document.createElement('div');ph.style.cssText='font-size:12px;font-weight:600;color:#f0f6fc;margin-bottom:6px';
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ph.textContent='Learned Search Patterns';card.appendChild(ph);
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d.learned_patterns.slice(0,5).forEach(function(p){
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var row=document.createElement('div');row.style.cssText='display:flex;justify-content:space-between;padding:5px 10px;background:#0d1117;border-radius:6px;margin-bottom:3px;font-size:12px';
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var q=document.createElement('span');q.style.color='#c9d1d9';q.textContent='"'+p.query+'"';
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var c=document.createElement('span');c.style.cssText='color:#58a6ff;font-weight:600';c.textContent=p.times+'x';
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row.appendChild(q);row.appendChild(c);card.appendChild(row);
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// ─── 1. Per-staffer hot-swap index ──────────────────────────
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var stafferCount = (staffers && staffers.staffers ? staffers.staffers.length : 0);
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capability(grid, {
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shipped:'2026-04-27',
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kind:'staffer-index',
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title:'Per-staffer hot-swap index',
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stat: stafferCount + ' personas',
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sub: stafferCount ? staffers.staffers.map(function(s){return s.name}).join(' · ') : 'awaiting roster',
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why: 'Same corpus, different relevance gradient per coordinator. MARIA\'S MEMORY pill labels playbook context with the staffer\'s territory; same query returns different rosters depending on who\'s acting.',
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kindColor: '#58a6ff',
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});
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}
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// Recent activity feed
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if(d.playbooks&&d.playbooks.length){
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var ah=document.createElement('div');ah.style.cssText='font-size:12px;font-weight:600;color:#f0f6fc;margin:10px 0 6px';
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ah.textContent='Recent Activity';card.appendChild(ah);
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d.playbooks.slice(0,5).forEach(function(p){
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var row=document.createElement('div');row.style.cssText='padding:6px 10px;background:#0d1117;border-radius:6px;margin-bottom:3px;font-size:11px';
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var op=document.createElement('div');op.style.color='#f0f6fc';op.textContent=p.operation||'';
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var det=document.createElement('div');det.style.cssText='color:#484f58;margin-top:2px';
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det.textContent=(p.result||'')+(p.context?' · '+p.context:'');
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var ts=document.createElement('div');ts.style.cssText='color:#2d333b;font-size:10px;margin-top:2px';
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ts.textContent=p.timestamp?new Date(p.timestamp).toLocaleString():'';
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row.appendChild(op);row.appendChild(det);row.appendChild(ts);card.appendChild(row);
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// ─── 2. Construction Activity Signal Engine ─────────────────
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var basket = (prof && prof.contractors) ? aggregateBasket(prof.contractors) : [];
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var attribCost = (prof && prof.contractors)
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? prof.contractors.filter(function(r){
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var ts=(r.tickers&&r.tickers.direct?r.tickers.direct:[]).concat(r.tickers&&r.tickers.associated?r.tickers.associated:[]);
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return ts.length>0;
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}).reduce(function(s,r){return s+(r.total_cost||0)},0)
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: 0;
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capability(grid, {
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shipped:'2026-04-27',
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kind:'signal-engine',
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title:'Construction Activity Signal Engine',
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stat: basket.length + ' issuers',
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sub: 'BAI computed live · ' + fmt$Bashort(attribCost) + ' attributed build value · network depth ' + basket.length + ' / ' + basket.reduce(function(s,b){return s+(b.count||0)},0),
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why: 'Every contractor name is also a forward indicator on the public equities they touch. Permit activity → construction starts ~45d → revenue recognition months later. Pre-10-Q signal.',
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link: P+'/profiler',
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kindColor: '#3fb950',
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});
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// ─── 3. Late-worker / no-show triage ────────────────────────
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capability(grid, {
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shipped:'2026-04-27',
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kind:'route',
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title:'Late-worker / no-show triage',
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stat:'one-shot',
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sub:'name + "running late" → profile + reliability + 5 backfills sorted by responsiveness + draft SMS to client',
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why: 'A coordinator gets a text and the system pulls the worker, finds backfills, and pre-writes the message in 250ms. Turns 20 minutes into 2.',
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kindColor: '#d29922',
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});
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// ─── 4. Permit → staffing bridge (live contracts) ───────────
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var permitCount = (act && typeof act.permits_today === 'number') ? act.permits_today : null;
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capability(grid, {
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shipped:'2026-04-27',
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kind:'permit-bridge',
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title:'Permit → staffing bridge',
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stat: '24 / day',
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sub: 'every Chicago permit ≥$250K becomes a fill plan — role, headcount, deadline, fill probability, gross revenue, draft SMS. ' + (permitCount==null ? 'live from Socrata' : permitCount + ' open contracts today'),
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why: 'Two-way translation: civic permit data → staffing demand. Same adapter pattern works for NYC DOB, LA County, Houston BCD.',
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kindColor: '#bc8cff',
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});
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// ─── 5. Hybrid SQL+vector search ────────────────────────────
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var workersCount = sysSum && typeof sysSum.workers_500k_rows === 'number' ? sysSum.workers_500k_rows : null;
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var pbkEntries = pbk && typeof pbk.entries === 'number' ? pbk.entries : null;
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capability(grid, {
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shipped:'baseline',
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kind:'hybrid-search',
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title:'Hybrid SQL + vector search',
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stat: (workersCount!=null ? (workersCount/1000).toFixed(0)+'K' : '—') + ' workers',
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sub: (pbkEntries!=null ? pbkEntries.toLocaleString()+' playbook entries embedded · ' : '') + 'sub-300ms hybrid response across SQL filter + vector rerank + playbook boost',
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why: 'SQL narrows the candidate pool to who CAN do the job; vector ranks who\'s the best fit; playbook memory boosts who\'s WORKED there before. All in one call.',
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kindColor: '#58a6ff',
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});
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// ─── 6. Schema-agnostic ingestion ───────────────────────────
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var datasets = sysSum ? sysSum.datasets : null;
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var rows = sysSum ? sysSum.total_rows : null;
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capability(grid, {
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shipped:'baseline',
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kind:'ingest',
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title:'Schema-agnostic ingestion',
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stat: (datasets!=null ? datasets : '—') + ' datasets',
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sub: (rows!=null ? rows.toLocaleString()+' total rows · ' : '') + 'schema fingerprinted on arrival · index built without an ETL written',
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why: 'Drop 20K resumes — system infers schema, registers the dataset, builds the vector index. No mapping spec, no ETL ticket, no DBA. Same path for any tabular feed in any new metro.',
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kindColor: '#79c0ff',
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});
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// ─── 7. Contractor profile + 12 awaiting sources ────────────
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capability(grid, {
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shipped:'2026-04-27',
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kind:'contractor-profile',
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title:'Contractor profile + project index',
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stat:'6 wired · 12 queued',
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sub:'OSHA · SEC+Stooq · Chicago history (lat/lng) · USAspending · parent-ticker map · ILSOS. Each name is also a heat-map of where they work.',
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why: 'Profile every contractor in the corpus with project-index score, geo heat map, history timeline, and 12 placeholder cards naming the next public datasets that ship as adapters.',
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link: P+'/contractor?name=Turner+Construction+Company',
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kindColor: '#d29922',
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});
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// ─── 8. Pathway memory ──────────────────────────────────────
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var pwmTotal = pwm && typeof pwm.total_pathways === 'number' ? pwm.total_pathways : null;
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var pwmReplays = pwm && typeof pwm.successful_replays === 'number' ? pwm.successful_replays : null;
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var pwmTotal2 = pwm && typeof pwm.total_replays === 'number' ? pwm.total_replays : null;
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capability(grid, {
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shipped:'baseline',
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kind:'pathway',
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title:'Pathway memory',
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stat: (pwmTotal!=null ? pwmTotal : '—') + ' traces',
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sub: pwmReplays!=null ? (pwmReplays + ' / ' + pwmTotal2 + ' successful replays · ' + (pwmTotal2 ? Math.round(pwmReplays/pwmTotal2*100) : 0) + '% reuse rate · probation gate crossed') : 'awaiting traces',
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why: 'Every accepted review/fill writes a trace: file fingerprint, model, signal class, outcome. A new query that fingerprints to the same trace gets the prior result without re-running the 9-rung escalation.',
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kindColor: '#3fb950',
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});
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// ─── 9. Profiler ticker basket ──────────────────────────────
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var directIssuers = basket.filter(function(b){return b.kinds && (b.kinds.indexOf('exact')>=0 || b.kinds.indexOf('direct')>=0)}).length;
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var assocIssuers = basket.filter(function(b){return b.kinds && b.kinds.indexOf('associated')>=0}).length;
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capability(grid, {
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shipped:'2026-04-27',
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kind:'ticker-basket',
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title:'Ticker association network',
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stat: basket.length + ' tickers',
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sub: directIssuers + ' direct (issuer) · ' + assocIssuers + ' associated (co-permit). Live Stooq quotes · clickable basket above the profiler index.',
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why: 'When a contractor co-files permits with TARGET CORPORATION, that contractor inherits TGT as an associated indicator. The network is the moat — every new metro multiplies the edges.',
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link: P+'/profiler',
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kindColor: '#58a6ff',
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});
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// Optional bottom row: operational stats from /intelligence/activity
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if(act && (act.fill_count || act.search_count || (act.playbooks||[]).length)){
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var opRow = document.createElement('div');
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opRow.style.cssText='margin-top:14px;padding:14px 16px;background:#0d1117;border:1px solid #171d27;border-radius:10px;display:flex;gap:24px;flex-wrap:wrap;align-items:center';
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var lab=document.createElement('span'); lab.style.cssText='font-size:10px;color:#545d68;text-transform:uppercase;letter-spacing:1.4px;font-weight:600';
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lab.textContent='Operational learning';
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opRow.appendChild(lab);
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var fc = document.createElement('span'); fc.style.cssText='color:#e6edf3;font-size:13px';
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fc.textContent = (act.fill_count||0)+' fills · '+(act.search_count||0)+' searches · '+((act.playbooks||[]).length)+' recent playbooks';
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opRow.appendChild(fc);
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var note=document.createElement('span'); note.style.cssText='color:#545d68;font-size:11px;flex:1';
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note.textContent='compounds inside each capability above';
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opRow.appendChild(note);
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el.appendChild(opRow);
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}
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});
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}
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// Explainer
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var ex=document.createElement('div');ex.style.cssText='font-size:11px;color:#484f58;margin-top:10px;font-style:italic;padding:8px;background:#0d1117;border-radius:6px';
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ex.textContent='Every time you search and select a worker, the system records what worked. Over time, it learns which workers are best for which situations — turning your decisions into institutional knowledge that never leaves when a staffer does.';
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card.appendChild(ex);
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el.appendChild(card);
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}).catch(function(){});
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// Helper — build basket from contractor rows (mirrors profiler.html logic)
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function aggregateBasket(rows){
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var byTicker = {};
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rows.forEach(function(r){
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var ts=(r.tickers&&r.tickers.direct?r.tickers.direct:[]).concat(r.tickers&&r.tickers.associated?r.tickers.associated:[]);
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ts.forEach(function(t){
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if(!t || !t.ticker) return;
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if(!byTicker[t.ticker]) byTicker[t.ticker]={ticker:t.ticker, kinds:[], count:0};
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if(byTicker[t.ticker].kinds.indexOf(t.via)<0) byTicker[t.ticker].kinds.push(t.via);
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byTicker[t.ticker].count++;
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});
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});
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return Object.values(byTicker);
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}
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function fmt$Bashort(n){
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if(!n) return '$0';
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if(n>=1e9) return '$'+(n/1e9).toFixed(2)+'B';
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if(n>=1e6) return '$'+(n/1e6).toFixed(0)+'M';
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if(n>=1e3) return '$'+(n/1e3).toFixed(0)+'K';
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return '$'+Math.round(n);
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}
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// Render one capability card
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function capability(parent, c){
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var card=document.createElement('div');
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card.style.cssText='background:#0d1117;border:1px solid #171d27;border-left:3px solid '+(c.kindColor||'#58a6ff')+';border-radius:10px;padding:14px 16px;display:flex;flex-direction:column;gap:6px;position:relative';
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var top=document.createElement('div');
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top.style.cssText='display:flex;align-items:baseline;justify-content:space-between;gap:8px';
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var title=document.createElement('div');
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title.style.cssText='font-size:13px;font-weight:600;color:#e6edf3';
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title.textContent=c.title;
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top.appendChild(title);
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if(c.shipped){
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var ship=document.createElement('span');
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ship.style.cssText='font-size:9px;color:#3fb950;background:#0d2818;border:1px solid #2ea04344;padding:1px 7px;border-radius:8px;letter-spacing:0.4px;font-weight:600;text-transform:uppercase;white-space:nowrap';
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ship.textContent = c.shipped==='baseline' ? 'baseline' : 'shipped '+c.shipped;
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top.appendChild(ship);
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}
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card.appendChild(top);
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if(c.stat){
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var stat=document.createElement('div');
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stat.style.cssText='font-size:24px;font-weight:700;color:'+(c.kindColor||'#e6edf3')+';letter-spacing:-0.5px;font-family:ui-monospace,monospace;font-variant-numeric:tabular-nums';
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stat.textContent=c.stat;
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card.appendChild(stat);
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}
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if(c.sub){
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var sub=document.createElement('div');
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sub.style.cssText='font-size:11px;color:#8b949e;line-height:1.5';
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sub.textContent=c.sub;
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card.appendChild(sub);
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}
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if(c.why){
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var why=document.createElement('div');
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why.style.cssText='font-size:11px;color:#c9d1d9;line-height:1.55;margin-top:4px;border-top:1px dashed #1f2631;padding-top:8px';
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||||
why.textContent=c.why;
|
||||
card.appendChild(why);
|
||||
}
|
||||
if(c.link){
|
||||
var lk=document.createElement('a');
|
||||
lk.href=c.link; lk.target='_blank'; lk.rel='noopener';
|
||||
lk.style.cssText='color:#58a6ff;text-decoration:none;font-size:11px;font-weight:600;margin-top:4px;align-self:flex-start;border-bottom:1px dotted #58a6ff44';
|
||||
lk.textContent='Open →';
|
||||
card.appendChild(lk);
|
||||
}
|
||||
parent.appendChild(card);
|
||||
}
|
||||
|
||||
function addLearnStat(parent,n,label,color){
|
||||
|
||||
Loading…
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Reference in New Issue
Block a user