Make mutations confirm themselves, and seed the evidence trail
CI / verify (push) Successful in 2m51s
CI / verify (push) Successful in 2m51s
Two demo gaps, both of which made working features look like they were not there. **Toasts fired into nothing.** RecordSheets already called toast.success on every save, but <Toaster /> was never mounted, so nothing appeared. It could not be mounted, either: the shadcn original imports next-themes, which PIG does not use — it has its own provider so a chosen theme is persisted server-side and follows a user between devices. Rewired to PIG's useTheme, mounted inside ThemeProvider, and offset clear of the phone tab bar and the home indicator. Feedback added where the interface otherwise gives none: allocation and hold report the GPU-hours actually written, because the sheet closes on success and the only other evidence is a number moving off-screen; releasing a hold says the capacity is sellable again; fact decisions say what the decision meant, and that approving evidence is not the same as writing it to a record; the profile form confirms rather than just clearing itself, which otherwise reads as the input being discarded. **The fact table was empty**, so the review queue and every provenance tooltip had nothing to show — the mechanism that makes an agent-written CRM trustworthy, invisible. Six agent-derived facts seeded with a deliberate mix: two applied, showing what a confident agent writes unprompted, and four proposed, including one weak claim that a reviewer should reject, so the queue is not a row of obvious approvals. Each carries a score, a band, evidence and where available a source. Idempotent on subject+field+value; verified over two runs. Verified: toast confirmed firing in a real browser on a 393px viewport, 135 unit tests and e2e green, typecheck clean, CSP hash unchanged, 0px horizontal overflow across 12 routes at both breakpoints. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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@@ -41,6 +41,7 @@ import { createDatabase } from '../client';
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import {
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accounts,
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activities,
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facts,
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allocations,
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capacityCommitments,
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capacityRequests,
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@@ -660,7 +661,166 @@ async function seedDemo() {
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}
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}
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// -------------------------------------------------- agent-derived facts
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//
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// Without these the fact-review queue and every provenance tooltip are
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// empty, which hides the thing that makes an agent-written CRM trustworthy:
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// that each claim carries a score, a band, evidence and a source, and that
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// only verified claims apply themselves.
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//
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// The mix is deliberate. Two `applied` facts show what a confident agent
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// writes unprompted; four `proposed` show what waits for a human; one is a
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// near-miss that a reviewer should reject, so the queue is not a row of
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// obvious approvals.
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const factSeeds: {
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accountDomain?: string;
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contactName?: string;
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field: string;
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value: string;
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score: string;
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band: 'verified' | 'probable' | 'possible';
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status: 'applied' | 'proposed';
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method: string;
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sourceUrl?: string;
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evidence: Record<string, unknown>;
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}[] = [
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{
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accountDomain: 'coreweave.com',
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field: 'supplierType',
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value: 'neocloud',
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score: '0.960',
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band: 'verified',
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status: 'applied',
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method: 'web_search',
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sourceUrl: 'https://www.coreweave.com/',
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evidence: {
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quote: 'Describes itself as an AI hyperscaler providing GPU cloud infrastructure.',
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corroboration: 2,
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},
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},
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{
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accountDomain: 'nebius.com',
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field: 'jurisdiction',
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value: 'European Union',
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score: '0.910',
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band: 'verified',
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status: 'applied',
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method: 'web_search',
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sourceUrl: 'https://nebius.com/',
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evidence: {
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quote: 'Operates a datacentre in Finland, inside the EU data-residency perimeter.',
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matters: 'Determines eligibility for customers with EU residency requirements.',
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},
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},
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{
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accountDomain: 'crusoe.ai',
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field: 'certifications',
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value: 'SOC 2 Type II',
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score: '0.720',
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band: 'probable',
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status: 'proposed',
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method: 'web_search',
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sourceUrl: 'https://crusoe.ai/',
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evidence: {
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quote: 'A trust page references SOC 2, but the report scope and observation window are not stated.',
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caution: 'Scope matters — a report can cover only some products.',
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},
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},
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{
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accountDomain: 'lambda.ai',
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field: 'supplierType',
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value: 'neocloud',
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score: '0.680',
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band: 'probable',
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status: 'proposed',
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method: 'web_search',
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sourceUrl: 'https://lambda.ai/',
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evidence: { quote: 'Markets GPU cloud and on-premises clusters.' },
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},
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{
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contactName: 'Dana Whitfield',
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field: 'title',
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value: 'VP Infrastructure',
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score: '0.540',
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band: 'possible',
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status: 'proposed',
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method: 'inference',
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evidence: {
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reasoning: 'A conference bio lists a VP title; the CRM records Head of Infrastructure.',
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conflict: 'Sources disagree, and neither is dated.',
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},
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},
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{
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accountDomain: 'runpod.io',
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field: 'customerSegment',
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value: 'frontier_lab',
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score: '0.310',
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band: 'possible',
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status: 'proposed',
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method: 'inference',
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evidence: {
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reasoning: 'Inferred from a blog post mentioning large training runs.',
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warning:
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'Weak. This is a supply-side provider, not a frontier lab — a reviewer should reject it.',
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},
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},
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];
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let factsAdded = 0;
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for (const seed of factSeeds) {
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let accountId: string | undefined;
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let contactId: string | undefined;
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if (seed.accountDomain) {
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const [row] = await db
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.select({ id: accounts.id })
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.from(accounts)
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.where(eq(accounts.domain, seed.accountDomain))
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.limit(1);
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accountId = row?.id;
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}
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if (seed.contactName) {
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const [row] = await db
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.select({ id: contacts.id })
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.from(contacts)
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.where(eq(contacts.fullName, seed.contactName))
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.limit(1);
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contactId = row?.id;
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}
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if (!accountId && !contactId) continue;
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// Idempotent on the natural key: one claim per subject per field per value.
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const [existing] = await db
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.select({ id: facts.id })
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.from(facts)
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.where(
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and(
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accountId ? eq(facts.accountId, accountId) : eq(facts.contactId, contactId!),
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eq(facts.field, seed.field),
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eq(facts.value, seed.value),
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),
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)
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.limit(1);
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if (existing) continue;
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await db.insert(facts).values({
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accountId,
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contactId,
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field: seed.field,
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value: seed.value,
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score: seed.score,
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band: seed.band,
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status: seed.status,
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method: seed.method,
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sourceUrl: seed.sourceUrl,
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evidence: seed.evidence,
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observedAt: at(-Math.round(Math.random() * 6) - 1),
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});
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factsAdded += 1;
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}
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console.log(' 4 capacity commitments, with sites, MSAs and negotiated SLAs');
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console.log(` ${factSeeds.length} agent-derived facts (${factsAdded} new) — 2 applied, 4 awaiting review`);
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console.log(' 6 demand deals across the pipeline, 5 supply deals');
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console.log(' Allocations including one unconverted hold and internal research burn');
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console.log('\nEverything is prefixed "DEMO — ". Remove it with: npm run db:demo -- --clear');
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