feat: editorial review dashboard + elite-grade pilot batch (5 SKUs)
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>
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# DataForSEO Stage 1 pilot packet
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Generated: 2026-05-20T16:41:07.180Z
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This packet prepares the first paid source acquisition stage without spending credits. It does not call DataForSEO.
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## Guardrails
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- Stage 1 target cap: 12
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- Recommended first depth: 100 reviews per ASIN
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- Stop after the first payload/run and inspect raw JSON quality + cost before increasing toward 1000 reviews per ASIN.
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- Store credentials only in shell environment variables; do not commit credentials.
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## Current status
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- Stage 1 targets: 10
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- Ready task payload rows: 6
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- Missing ASINs: 4
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## Files
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- `data/sources/dataforseo/asin-map.csv` - fill ASIN/ProductUrl before task creation.
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- `content_population_exports/dataforseo_amazon_reviews_task_payload.json` - generated DataForSEO task payload; empty until ASINs are filled.
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- `content_population_exports/dataforseo_amazon_reviews_curl_template.sh` - safe curl template using env credentials.
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- `data/sources/dataforseo/amazon-review-output-template.json` - local raw-output shape expected by source validators.
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## DataForSEO notes
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- Amazon reviews task creation requires an ASIN plus location and language parameters.
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- Keep `depth` between 100 and 1000 for top-3 research runs; increase only after output quality is proven.
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