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>

content_population_exports/apify_gapfill_runbook.md

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+# Apify selective gap-fill packet
+
+Generated: 2026-05-20T16:41:07.121Z
+
+Top-3 scraping budget raised for hundreds of items. Run capped first-batch targets, inspect the dataset, then decide whether to scale toward 1000 items per product/source.
+
+## Spend guardrails
+- DataForSEO Stage 1 first; Apify Stage 2 only for named gaps.
+- One actor lane, first 3 brands, max 100 requests per brand, max depth 1, then stop for dataset inspection.
+- Do not run all 7 competitor domains in one go.
+- Save raw datasets under `data/sources/apify/raw/` and inspect before any normalization/scaling.
+
+## First batch only if needed
+- Feel: https://wearefeel.com/ (100 requests max, depth 1)
+- Ancient & Brave: https://ancientandbrave.earth/ (100 requests max, depth 1)
+- Heights: https://www.heights.com/ (100 requests max, depth 1)
+
+## Hold until first-batch review
+- Wild Nutrition: https://www.wildnutrition.com/
+- Dirtea: https://www.dirteaworld.com/
+- Ethical Nutrition: https://ethical-nutrition.com/
+- Puro Labs: https://purolabs.com/
+
+## Files
+- `content_population_exports/apify_gapfill_targets.csv` - all Stage 2 targets with run/hold status.
+- `content_population_exports/apify_competitor_pdp_input_template.json` - no-spend actor input template for the first batch only.
+- `data/sources/apify/raw/_apify-output-template.json` - expected local raw output shape after a run.
+
+## Stop / scale rule
+Scale only if the first dataset contains useful PDP/review/claim evidence with source URLs and the cost is acceptable. Otherwise keep Apify off and stay with DataForSEO/manual source drops.