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AI field notes.

Opinion and commentary from the people doing the work: why AI pilots stall, what waiting costs, and how we would decide between building and buying if it were our own business.

Editorial library for AI field notes

What these notes cover

Arguments, not announcements.

Field notes take a position and explain it. Read them to test your own thinking before you commit a team or a quarter to an AI project.

Why pilots stall.

Most pilots prove a demo and never touch revenue. The pilots note names the missing pieces, usually an owner and a number to move.

What delay costs.

The cost-of-waiting note looks at AI decisions the way a finance lead would, comparing the expense of acting with the expense of doing nothing.

Build, buy or wait.

The build-versus-buy note decides from the workflow rather than the vendor list, including when waiting is the right call.

Questions answered

Field Notes questions.

Why do so many AI pilots fail?

They are set up to impress rather than to change a number. Without an owner, a baseline and one workflow to improve, a pilot ends as a slide deck. The pilots note covers how to set one up differently.

Is it risky to wait on AI?

Waiting has a cost when competitors answer buyers faster or run leaner, and a benefit when your data and processes are not ready. The cost-of-waiting note helps weigh the two for your situation.

Can Claude run parts of a business?

It can run defined routines, such as drafting, summarizing and preparing reports, when the instructions, files and review steps are written down. The operating system note shows how that setup works.

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Next step

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