From AI Idea to Product-Market Fit

Everyone’s talking about building with AI.

But here’s what’s missing from most conversations: Product-Market Fit.

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The questions every founder and product leader should be asking are:

• Who’s actually going to use this?
• Who’s willing to pay for it?
• What’s the go-to-market strategy beyond the prototype?

Without answers to those, even the most impressive AI product risks staying a demo forever. (I know, because I’ve been there too.)

From Idea → Product-Market Fit → Scale

That’s why I teamed up with Trevor Holmes (That Product Market Fit Guy) for a live session where we broke it all down.

• How to move from idea → product-market fit → scale
• How to build with AI in days, not months
• How to avoid the trap of “cool demo, no customers”

Our goal wasn’t to talk theory. It was to share practical insights you can apply immediately.

Lessons from the Webinar

Here’s what we’ve seen across startups and innovation teams:

• Start with the customer insight, not the tech. AI is a tool, not the starting point.
• Use AI to accelerate MVPs, onboarding, and support. Speed matters, but so does direction.
• Know when to build, buy, or blend. Not every use case requires custom development.
• Learn from real-world examples. We showed how startups in real estate and market research are already applying AI to cut costs and deliver value.

Why This Matters

AI is everywhere. But the winners won’t be the ones who build the flashiest tools.

They’ll be the ones who:

• Find product-market fit faster
• Use AI to uncover real customer needs
• Apply AI where it drives the most business value

The replay of our session is now available, no sales pitch, just practical insights to help you cut months off experimentation and avoid costly missteps.

🎥 Watch the full recording here: Replay Link

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