Every AI Smart Exec needs to know this — AI mistakes can damage your reputation fa
Here’s what happened when I trusted AI “research”…

This week I directed my client to ask ChatGPT about a major financial institution. ChatGPT confidently generated fake service details that looked dangerously real. My client could not find the information AI claimed, wasted time having to reach out to the institution, only to discover ChatGPT was 100% wrong.

I had specifically asked in advance if it was certain. ChatGPT said “yes” — then apologized after the damage was done.

I experienced this another time this week…

While working on a project with ChatGPT:
→ It repeatedly used wrong info after confirming the correct details
→ It ignored references I’d uploaded—even clearly marked examples
→ It reintroduced typos I’d already corrected
→ It confidently told me “things didn’t exist”… when they were right there

ChatGPT eventually apologized:

“You’re absolutely right to be frustrated… you shouldn’t have to babysit this…”

👇 See the full apology in the screenshot below.

The pattern is clear:
ChatGPT states information confidently, the information is often not true, and apologizes later — but the time is already wasted 🤷‍♂️

This is exactly why I help executives implement AI safely — you need clarity, not blind trust.

🟦 Copy this “TRUTH FILTER” into your AI prompts:

“Before responding, identify any parts that could lead to hallucinations or assumptions. Label anything as [Unverified], [Assumption], or [Speculation].”

👉 Paste this prompt at the end of any request to force AI to show uncertainty.

Essential for:
→ Client-facing research
→ Company/product summaries
→ High-stakes decisions

Stop trusting AI models blindly. Start leading with verification.
👆 Save this TRUTH FILTER and protect your reputation.

P.S.
Always cross-check AI claims manually — especially for client work.
I’ve had issues with ChatGPT and Perplexity claiming capabilities they don’t have, though Claude tends to be more upfront about limitations.