How do you actually think about trusting AI vs. humans for business decisions?
I'm working on something in the AI business coaching space, and before I make any claims about it, I want to understand where people actually draw the line — not where I assume they draw it.
This isn't a "would you use my tool" post. I don't have a product pitch here. I'm trying to separate out a question that usually gets flattened into one big "AI vs. human" debate, because I think it's actually three different questions with three different answers.
- Do you trust AI-generated advice, period?
Not "is AI useful for brainstorming" — I mean would you make an actual pricing decision, a churn-fix decision, a positioning decision based on what an AI told you, the way you might trust a mentor's judgment call? Or does it stay in "second opinion" territory no matter how good the answer sounds?
- Does it matter if the AI remembers your situation over time?
A tool that knows your stage, your last three months, your specific bottleneck — versus a fresh ChatGPT tab every time. Does persistent context change how much you'd trust the output, or is that a nice-to-have that doesn't move the needle on trust itself?
- Would you actually act on AI advice without someone watching?
Communities and mentors work partly because there's social pressure — someone's going to ask you next week if you shipped the thing. Does AI accountability (reminders, check-ins, whatever form) do anything for you, or is peer pressure from actual humans doing work that no AI interaction can replace?
I'd genuinely rather hear "I wouldn't trust AI with any of this" than a polite answer that isn't real. If that's where you land, say so — that's useful data, not a rejection I'm trying to argue you out of.
Curious especially from people who've tried both — an AI tool and a paid community or mentor/coach — for the same kind of decision. What actually made you trust one output over the other?
The interesting distinction seems less “AI vs human” and more what earns enough confidence to act. Have you found that trust comes from the quality of the advice itself, or from having evidence/context that makes the recommendation feel accountable?
That's a sharper way to put it than I had — "what earns enough confidence to act" is really the whole question, and I like that it doesn't assume the answer has to be either AI or human.
My instinct is it's mostly the second thing — evidence/context that makes the recommendation feel accountable — more than raw quality of the advice. A brilliant-sounding suggestion from a fresh ChatGPT tab still feels weightless to me, because there's no way to check whether it's actually tracking my situation or just pattern-matching something plausible. Whereas even mediocre advice from someone (or something) that clearly remembers what I tried last month and why it didn't work feels harder to dismiss, because it's harder to fake.
Curious if that matches your experience — has "quality" advice ever actually moved you to act without that accountability/context layer, or does it always end up needing the second thing to actually stick?
That accountability point is interesting. I’d be curious to explore it further. If you’re open to it, what’s the best email to reach you on?