Journal

Notes on agentic development.

How to turn AI into real shipping speed: audits, workflows, modernization, and the tactics that hold up in production.

We fixed one “mysterious” AI mismatch in a regulated brand by changing llms.txt governance—not prompts.

A “minor” caching bug duplicated AI results across tenants—10,000 wrong responses later, we rebuilt cache discipline.

We fixed phantom orders and duplicate charges by treating checkout as a transactional system, not a pile of AJAX calls.

Most teams blame headless. We’ve seen the real culprit be invalidation and an undefined content contract.

We rolled back an LLM workflow in finance because the refusal was unprovable—not because it was “wrong.” Here’s the architecture we use.

We shipped these patterns when they fit—then watched them fail when they didn’t. Here’s the decision rules I use in sprint planning.

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