automation
AI automations need receipts when they produce nothing
AI automations need to distinguish an actionable result, an evidenced no-op and an unknown run state—and leave a receipt when they produce nothing.
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4 posts
ai
How to build a Codex memory system you can actually trust
Built-in Codex memory is useful for background context. For operational lessons, I want evidence, scope, curation, and a repeatable project setup.
ai
Agentic loops are coming for knowledge work
Agentic loops are useful when knowledge work has something to check against: sources, criteria, retries, and a clear stop point.
Enterprise
What happens when your AI agent fails silently
Three weeks ago a research pipeline I run finished overnight. Clean exit. No errors, no timeouts, nothing in the logs that looked wrong. The next morning I found three new entries in the records database with scores, bri