I think we're asking the wrong question about AI.
Most founders ask:
How do I build an AI app?
Very few ask:
What hidden pattern does this app reveal that users can't easily see themselves?
AI can generate text.
AI can write code.
AI can automate workflows.
None of those create a durable business.
The moment another model becomes better, those advantages disappear.
The durable advantage is helping users see something users couldn't see before.
That's the idea behind TruthLoop AI.
Not another chatbot.
A diagnosis engine.
An AI that uncovers hidden behavioral patterns behind repeated decisions instead of simply generating better answers.
If you're building an AI product today...
What do you think will still matter 5 years from now when everyone has access to similar models?
Interesting approach. The distribution
problem is real — building is the easy
part, getting the first users to stick
is where most early-stage products struggle.
What worked best for your first 10 customers?
Honestly, I'm still early. My bet is that retention won't come from better models—it'll come from revealing something users couldn't see before. If people leave with a genuinely new insight about themselves, they have a reason to come back. That's what I'm trying to validate.
One thought I couldn't fit into the post: The hardest AI problem isn't intelligence. It's helping users discover something true about themselves that they couldn't see before. Models will improve. That kind of insight is much harder to commoditize. Curious if others see AI moving in that direction too.