Gap fixes: pattern fallback, narrative citations, call_log plumbing
Closing trust-breaks surfaced in the strategic audit. A — MEMORY chip renders even when sparse: Previously rendered nothing when no trait crossed threshold, which recruiters would read as "system has no signal." Now explicitly says "memory is sparse for this role+geo — no trait crossed threshold" or "no similar past playbooks yet — first fill of this kind will seed it." Honest when it doesn't know. B — Removed /intelligence/learn dead endpoint: Legacy CSV-writer path that destructively re-wrote successful_playbooks. /log and /log_failure replace it cleanly. Leaving dead code confuses future maintainers. C — Narrative tooltips on Endorsed chips: Hovering the green "Endorsed · N playbooks" chip now fetches the worker's past operations from successful_playbooks_live and shows a story: "Maria — past endorsements: • Welder x2 in Toledo (2026-04-15), • Welder x1 in Toledo (2026-04-18)..." Falls back to honest "narrative unavailable" if the seed didn't land in SQL. D — call_log infrastructure in worker modal: New "Recent Contact" section queries call_log JOIN candidates by name. Surfaces last 3 call entries with timestamp, recruiter, disposition, duration. When empty (which is today's reality — candidates table only has 1000 rows vs call_log's higher IDs), shows an honest message about the data gap and what real ATS integration would unlock. Honest call: D ships infrastructure. Actual utility depends on aligning candidate IDs between the candidates table and call_log — current synthetic data doesn't cross-ref cleanly. When real ATS data lands, this section becomes the "system knows who we called yesterday" feature the recruiter needs. Deferred (would require a dedicated session): - Rate awareness (needs worker pay_rate + contract bill_rate) - Push / background daemon (Slack/SMS/email integration) - Confidence calibration (needs a probabilistic ranking layer)
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@ -1391,15 +1391,11 @@ tr:hover{background:#111827}
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}
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}
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// Intelligence: Log a search → selection as a learned pattern
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if (url.pathname === "/intelligence/learn" && req.method === "POST") {
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const b = await json();
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const csv = `timestamp,operation,approach,result,context\n"${new Date().toISOString()}","search: ${(b.query||"").replace(/"/g,'""')}","${(b.filters||"").replace(/"/g,'""')}","selected: ${(b.worker_name||"").replace(/"/g,'""')} (${b.worker_id||""})","role=${b.worker_role||""} state=${b.worker_state||""} city=${b.worker_city||""}"`;
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const form = new FormData();
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form.append("file", new Blob([csv], { type: "text/csv" }), "playbook.csv");
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await fetch(`${BASE}/ingest/file?name=successful_playbooks`, { method: "POST", body: form });
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return ok({ learned: true, pattern: `"${b.query}" → ${b.worker_name}` });
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}
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// Removed 2026-04-20: /intelligence/learn was a legacy CSV writer
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// that destructively re-wrote successful_playbooks. /log and
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// /log_failure replace it cleanly via /vectors/playbook_memory/seed
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// and /mark_failed. Keeping the endpoint would only mislead
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// future callers — dead code rots.
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// Intelligence: Activity feed — what the system has learned
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if (url.pathname === "/intelligence/activity" && req.method === "POST") {
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@ -619,6 +619,39 @@ function showProfile(workerData){
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body.appendChild(srcBox);
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}
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// Call history — recruiter-facing institutional memory from call_log.
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// Queries for prior contact with this specific worker (by name
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// cross-ref). Fails soft: if no rows, shows "no recent contact" which
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// is itself a useful signal (or an honest tell about data sparsity).
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addSection(body,'Recent Contact','Last phone outreach logged in call_log');
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var callBox=document.createElement('div');
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callBox.style.cssText='background:#0d1117;border-radius:8px;padding:14px;margin-bottom:20px;font-size:12px;color:#8b949e;line-height:1.6';
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callBox.textContent='Checking call log...';body.appendChild(callBox);
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var nameLitC=(workerData.nm||'').replace(/'/g,"''");
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var callSQL="SELECT cl.timestamp, cl.recruiter, cl.duration_seconds, cl.disposition "
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+"FROM call_log cl JOIN candidates c ON c.candidate_id = cl.candidate_id "
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+"WHERE CONCAT(c.first_name, ' ', c.last_name) = '"+nameLitC+"' "
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+"ORDER BY cl.timestamp DESC LIMIT 3";
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api('/sql',{sql:callSQL}).then(function(r){
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callBox.textContent='';
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var rows=(r&&r.rows)||[];
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if(rows.length===0){
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callBox.textContent='No recent call logged for '+(workerData.nm||'this worker')+'. Data note: call_log cross-references candidate IDs that may not align with workers_500k — real ATS integration required for full coverage.';
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callBox.style.color='#484f58';return;
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}
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rows.forEach(function(c){
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var row=document.createElement('div');row.style.cssText='padding:6px 10px;background:#161b22;border-radius:6px;margin-bottom:4px;border-left:2px solid #58a6ff;display:flex;justify-content:space-between;gap:10px';
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var left=document.createElement('div');
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var ts=(c.timestamp||'').substring(0,10);
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var dur=Math.round((c.duration_seconds||0)/60);
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var l1=document.createElement('div');l1.style.cssText='color:#e6edf3;font-weight:500;font-size:12px';
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l1.textContent=ts+(c.recruiter?' · by '+c.recruiter:'');left.appendChild(l1);
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var l2=document.createElement('div');l2.style.cssText='color:#8b949e;font-size:10px';
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l2.textContent=(c.disposition||'?').replace(/_/g,' ')+(dur?' · '+dur+' min':'');left.appendChild(l2);
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row.appendChild(left);callBox.appendChild(row);
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});
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}).catch(function(){callBox.textContent='(call log unavailable)';callBox.style.color='#484f58'});
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// Past playbook history — Phase 19 institutional memory surfaced on
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// the worker's own profile. Shows every past fill this worker was
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// endorsed in (from successful_playbooks_live), so the recruiter can
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@ -700,14 +733,35 @@ function addWorkerInsight(parent,name,detail,why,idx,highlight){
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var info=document.createElement('div');info.className='info';
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var nm=document.createElement('div');nm.className='nm';nm.textContent=name;
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// Phase 19: when a past playbook endorsed this worker, show a green chip
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// next to the name. Hover reveals the citation IDs.
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// next to the name. Hover reveals a NARRATIVE of past endorsements
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// derived from successful_playbooks_live — "filled X in Y on date" —
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// rather than opaque pb-seed-xxx ids. Recruiters need stories, not
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// citation keys. Lazy-loaded per card on first render.
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if(boostInfo && boostInfo.boost > 0){
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var chip=document.createElement('span');
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chip.style.cssText='display:inline-block;margin-left:8px;padding:2px 7px;border-radius:9px;font-size:10px;font-weight:600;background:#0d2818;border:1px solid #2ea043;color:#3fb950;vertical-align:middle';
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chip.style.cssText='display:inline-block;margin-left:8px;padding:2px 7px;border-radius:9px;font-size:10px;font-weight:600;background:#0d2818;border:1px solid #2ea043;color:#3fb950;vertical-align:middle;cursor:help';
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var n=(boostInfo.citations && boostInfo.citations.length) || 0;
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chip.textContent='Endorsed · '+n+' playbook'+(n!==1?'s':'');
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chip.title='Boosted by past playbooks: '+(boostInfo.citations||[]).join(', ');
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chip.title='Loading past playbooks for '+name+'...';
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nm.appendChild(chip);
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// Fetch narrative for this worker lazily
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var safeName = (name||'').replace(/'/g,"''");
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var narrativeSQL = "SELECT operation, result, timestamp FROM successful_playbooks_live "
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+ "WHERE result LIKE '%"+safeName+"%' ORDER BY timestamp DESC LIMIT 5";
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api('/sql',{sql:narrativeSQL}).then(function(r){
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var rows=(r&&r.rows)||[];
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if(rows.length===0){
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chip.title=name+' — endorsed in '+n+' playbook'+(n!==1?'s':'')+' (narrative unavailable — may have been seeded without SQL persistence)';
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return;
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}
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var stories=rows.map(function(pb){
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var d=(pb.timestamp||'').substring(0,10);
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return '• '+(pb.operation||'?').replace(/^fill:\s*/,'')+' ('+d+')';
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});
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chip.title=name+' — past endorsements:\n'+stories.join('\n');
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}).catch(function(){
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chip.title=name+' — endorsed in '+n+' playbook'+(n!==1?'s':'');
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});
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}
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var dt=document.createElement('div');dt.className='detail';dt.textContent=detail;
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info.appendChild(nm);info.appendChild(dt);
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@ -770,16 +824,31 @@ function doSearch(){
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var h=document.createElement('div');h.style.cssText='color:#8b949e;font-size:12px;margin-bottom:10px';
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h.textContent=(d.sql_matches?d.sql_matches.toLocaleString()+' workers matched — ':'')+'showing best results ('+(d.duration_ms||0)+'ms)';
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out.appendChild(h);
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// Meta-index signal — what past similar fills had in common. Only
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// renders when memory had at least one relevant playbook.
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if(d.discovered_pattern && d.pattern_playbooks_matched > 0){
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// Meta-index signal — ALWAYS render when the system has any memory,
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// even if no trait crossed threshold. Silence here would have
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// recruiters assume "no signal" when the reality is "threshold
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// filtered it out" or "memory is sparse for this geo." Trust
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// depends on the system being honest about what it doesn't know.
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if(d.pattern_playbooks_matched > 0 || d.discovered_pattern){
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var mem=document.createElement('div');
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mem.style.cssText='background:#0d2818;border:1px solid #2ea04360;border-radius:6px;padding:8px 12px;margin-bottom:10px;font-size:11px;color:#86efac;line-height:1.5';
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var label=document.createElement('span');label.style.cssText='color:#3fb950;font-weight:600;margin-right:6px';
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label.textContent='MEMORY ('+d.pattern_playbooks_matched+' playbooks):';
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label.textContent='MEMORY ('+(d.pattern_playbooks_matched||0)+' playbook'+(d.pattern_playbooks_matched===1?'':'s')+'):';
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mem.appendChild(label);
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mem.appendChild(document.createTextNode(' '+d.discovered_pattern));
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var pattern = d.discovered_pattern || '';
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if(!pattern || pattern.indexOf('No similar')>=0 || pattern.indexOf('0 workers')>=0){
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mem.appendChild(document.createTextNode(' memory is sparse for this role+geo — no trait crossed threshold. Will accumulate as fills land.'));
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mem.style.color='#6ca885';
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} else {
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mem.appendChild(document.createTextNode(' '+pattern));
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}
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out.appendChild(mem);
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} else {
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// Zero playbooks matched — be explicit
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var mem0=document.createElement('div');
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mem0.style.cssText='background:#161b22;border:1px solid #21262d;border-radius:6px;padding:6px 12px;margin-bottom:10px;font-size:11px;color:#6e7681';
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mem0.textContent='MEMORY: no similar past playbooks yet — first fill of this kind will seed it.';
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out.appendChild(mem0);
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}
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// Render results based on type
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var workers=d.sql_results||[];
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