056c47581f
Ships the second dashboard surface — a Pattern Library + Preview Theatre — that presents the 4-section PDP pilot batch back to Umar, compliance, and the board in an editorial format. Adds the full data layer that drives it: 5 source-backed per-SKU drafts at QA 100/100, 15 competitor PDP semantic extracts, PubMed evidence packs, EFSA claims library extension, JV brand voice guide, hand-curated product FAQs, and the Matrixify-ready CSV exports for Lewis. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
25 lines
1.3 KiB
Markdown
25 lines
1.3 KiB
Markdown
# Apify paid actor preflight
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Generated: 2026-05-20T02:31:32.595Z
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Ready to run Apify Stage 2 actor: NO
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This preflight is a final local guard before any Apify paid actor run. It does not call Apify.
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## Checks
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- [blocked] Explicit paid-run flag set — set JV_SOURCE_ALLOW_PAID=apify-stage2 only when intentionally running Apify Stage 2
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- [blocked] Apify token present in environment — APIFY_TOKEN=missing
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- [blocked] Spend gate allows Apify Stage 2 — 4/14 spend checks passing
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- [blocked] Budget gate allows Apify Stage 2 — 6/9 budget checks passing
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- [blocked] DataForSEO review explicitly selected Apify — decision=pending
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- [blocked] Named Apify gap documented — no named gap from DataForSEO pilot review
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- [pass] First batch stays inside caps — 3 first-batch targets, 4 held, maxActorRuns=1, maxTargets=3, maxRequestsPerBrand=3
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- [pass] Actor input matches first batch only — 3 start URLs / 3 first-batch targets, maxRequestsPerCrawl=9, maxCrawlDepth=1
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## Paid-run rule
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- All checks must pass.
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- `APIFY_TOKEN` must be a shell environment variable only.
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- `JV_SOURCE_ALLOW_PAID` must equal `apify-stage2` for the run window.
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- DataForSEO pilot review must explicitly choose `run_apify_gapfill` and name the gap.
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- Run only the first-batch input template, then stop and inspect dataset quality/cost before any scale-up.
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