What Happens When You Ask GPT 'How's My Business Plan?' — It Reaches a Conclusion First, Then Attaches the Evidence

#AI Reaches a Verdict First

Give the AI the same plan and it opens with an overall verdict — something like "this looks solid" or "this is weak" — and then fills in praise and criticism to match that verdict. The evidence didn't produce the judgment; the judgment came first and the evidence followed. Tweak the question slightly, and the verdict changes too.

#Why This Is Dangerous

When the conclusion comes first, the AI can't actually explain why it sees things that way. All the founder gets is a pleasant-sounding summary — with nothing left telling them what to fix. What's even riskier is taking the AI's optimistic summary ('this looks good') at face value and submitting on that basis.

#Real Feedback Works in a Different Order

The order needs to be flipped. Don't let the AI reach a conclusion first — make it work all the way through what has evidence behind it and what's thin, and only then let the judgment follow from that evidence. That blocks the path of deciding the verdict first and fitting the reasoning around it. It's why OpenSeed hands back strengths, weaknesses, evidence, and prescriptions first — not a summary verdict.

#So, 70/30

This kind of evidence check falls into that 30% (the supporting role). You write the 70% that makes up the substance of the business — leave the checking to a tool that works 'evidence-first,' not 'conclusion-first.' A pleasant-sounding summary you've already heard is far less useful before submission than feedback that actually points out what's missing.

For context, the fact that stated reasoning often fails to reflect the actual judgment process is a problem consistently raised in AI reasoning research. It's not unusual — it's a structural limitation anyone runs into when they hand evaluation over to AI.