Summary: Pressure to adopt AI isn't evidence that a tool helps. The PROVE framework tests one tool against one task and produces a provisional decision you can defend.


Tech workers face constant pressure to adopt AI tools, with little guidance on how to tell whether a specific tool improves a specific type of work. This article introduces PROVE , a lightweight evaluation framework we teach at NN/G, and applies it to a real workflow.

Why It's Difficult to Evaluate AI Tools

Product teams hear from leadership that they need to move faster, use the tools the company has purchased, and keep up with every release, all while spending less money on AI and learning new tools without taking time away from their work. Under that kind of pressure, evaluating a new tool fails in two main ways:

Neither failure addresses the real question: compared with how you already do this work, does the tool produce an outcome worth adopting?



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