Stop benchmarking. Start shipping.

There's a comfortable ritual in AI engineering where a team spends weeks comparing five models on an evaluation suite, produces a heat map, and then… doesn't ship anything.

Benchmarks are useful. They are not a substitute for asking a real user to do a real task with your system and watching them.

The first five users are worth a thousand benchmark rows

Every team that has been through this says the same thing: the first five real users tell you things no eval suite will. Which failure modes actually matter. Which errors users recover from silently. Which parts feel wrong even when the output is technically right.

You cannot catch those from a spreadsheet.

A practical test

Ask yourself: what do I think will happen when I put this in front of someone?

If you're ninety percent sure — ship. If you're fifty — ship a prototype. If you genuinely don't know, you are not ready to run more benchmarks. You are ready to watch someone use it.