Short, practical notes on making AI agents provably work in production, and on adopting AI without the chaos. The same thinking behind the fixed-price sprints.
An AI agent audit examines architecture, prompts, and tool calls, runs failure analysis on real traffic, and leaves evals behind. Scope and fair pricing.
Read the note →An AI usage policy for a small business fits on one page: approved tools, banned data, account rules, an owner, and a review date. Here is what to write.
Read the note →A practical test for product leaders: five checks that show whether your AI agent works in production, with evidence instead of vibes.
Read the note →Occasional field notes on making AI agents provably work in production. No pitch, unsubscribe anytime.
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