How AI Builds Reveal Research Handoff Gaps

When you hand AI a research recommendation to bring to life, and look at its first pass, you are watching exactly what happens when you hand that written recommendation to a designer or an engineer to build. The misinterpretation. The drift. The not-quite-what-you-meant. The what the ef?

Except now it shows up in seconds, on the screen, instead of weeks later in a build that missed the target and now needs rework.

A researcher in my last Build Like A Pro pilot hit it live. She turned her recommendation into a build, and the first version came back off, not in the voice it was meant to carry. That gap was the real a-ha.

The intention was clear. The result missed the mark. A report would have buried that.

The build made it possible to see, impossible to miss, and easy to fix.

I wish more researchers knew this about building out their recommendations with AI. It does more than bring your recommendation to life.

It shows you how your recommendation gets interpreted by others, immediately, so you can right-size it before a single human runs with it.

***It is research, pointed at your own handoff.***

This was the most useful research I ran last week.

Build Like A Pro will run again in July. Details are below.

Researchers, designers, PMs: when was the last time you watched your recommendation get interpreted in real time, instead of hoping it landed as intended?

"Researchers who build" are in a much better position to move their recommendations into action.

The Build Like A Pro workshop will be offered twice in July.