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Field notes
Latest field notes
Practical writing on choosing problems, dependable data, agents, evaluation and delivery.
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Start with a workflow, not a model
A useful AI project begins with a decision, an owner and a repeatable piece of work.
Your data is part of the product
Reliable answers depend on definitions, freshness and permissions as much as the interface.
What to measure before you launch an agent
Separate task success, mistakes, time and cost before you build a leaderboard.
A small pilot needs an owner
Assign responsibility before the pilot starts.
Source links are a product feature
Make it possible to inspect the evidence behind an answer.
Give agents a clear stopping point
Completion should be observable, and retries should have limits.