Design the Review Handoff Before You Design the Prompt

“Please review” can mean anything from “check the spelling” to “find the assumption that will leave twelve volunteers standing outside a locked building”. If we expect someone to approve AI-assisted work, we need to tell them what requires a decision and give them enough information to make it. That starts before the prompt. Who will […]

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Zero, Unknown, and Not Applicable Deserve Different Answers

An empty attendance list can mean that nobody came or that nobody entered the attendance. A report that displays zero has chosen one of those explanations; it needs a reason. That distinction comes up in the reporting work for the Dayton Hash website. The pilot’s test cases distinguish confirmed empty attendance from unknown rosters and […]

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Turn an AI Friction Log into Reusable Procedures

In Give Your AI Agent a Friction Log, I described recording unexpected failures and what actually resolved them. I’ve since added maintained procedures, helper scripts, and focused skills to that workflow. The next question is whether another task finds and uses them. A growing collection of instructions can also become a growing collection of instructions […]

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Who Pays for AI Progress

A data center can be a good investment for its owner and a bad deal for the people paying for the power lines. Before calling it progress, ask whether those are the same people, what each group gets, and who pays if the expected customers never arrive. A company forecasts demand.A utility plans construction.A community […]

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A “Successful” Search That Found Nothing

A search in a job search application I’m developing reported success without finding any usable postings. The workers were running, the task had finished, and the application reported no error. Unfortunately, the user wants job postings, not reassurance about the workers. Finding nothing can be a perfectly valid result; the problem was that the application […]

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