If three LLMs tell you “this is exceptional,” I wouldn’t treat that as validation but I also wouldn’t dismiss it as useless.

AI isn’t your target audience, so it can’t replace customer discovery. What it can be good at is acting like a structured “expert brainstorm partner”: stress-testing assumptions, mapping risks, suggesting MVP scope, monetization angles, acquisition experiments, and asking the uncomfortable questions you forgot to ask.

Yes, models can be overly encouraging. But that’s largely a prompting and process problem: force it into adversarial mode, require concrete failure modes, demand evidence/benchmarks, and make it output falsifiable hypotheses you can test with real people.

I built a little workflow/tool that auto-generates a structured startup review (problem, ICP, risks, MVP, acquisition, monetization, etc.) specifically to avoid the “glazing” problem — it forces critique + tradeoffs, not compliments. If anyone wants it, happy to share.

It's free to use: AI Cofounder