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>
This commit is contained in:
Omair Saleh
2026-06-02 18:20:17 +08:00
parent e470e113ee
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# DataForSEO Stage 1 pilot packet
Generated: 2026-05-20T16:41:07.180Z
This packet prepares the first paid source acquisition stage without spending credits. It does not call DataForSEO.
## Guardrails
- Stage 1 target cap: 12
- Recommended first depth: 100 reviews per ASIN
- Stop after the first payload/run and inspect raw JSON quality + cost before increasing toward 1000 reviews per ASIN.
- Store credentials only in shell environment variables; do not commit credentials.
## Current status
- Stage 1 targets: 10
- Ready task payload rows: 6
- Missing ASINs: 4
## Files
- `data/sources/dataforseo/asin-map.csv` - fill ASIN/ProductUrl before task creation.
- `content_population_exports/dataforseo_amazon_reviews_task_payload.json` - generated DataForSEO task payload; empty until ASINs are filled.
- `content_population_exports/dataforseo_amazon_reviews_curl_template.sh` - safe curl template using env credentials.
- `data/sources/dataforseo/amazon-review-output-template.json` - local raw-output shape expected by source validators.
## DataForSEO notes
- Amazon reviews task creation requires an ASIN plus location and language parameters.
- Keep `depth` between 100 and 1000 for top-3 research runs; increase only after output quality is proven.