What Adding AI to Your Business Actually Looks Like

Over the last five years I've built 60+ end-to-end AI products and integrations for businesses, and I was doing it before LLMs were even a thing. In that time, one pattern keeps repeating: the difference between AI that quietly pays off and AI that just creates more problems isn't a big team, expensive monthly tooling, or you becoming technical. It's a few decisions you make before anyone writes a line of code.

This guide is the written version of my video: the key points, plus a bit more detail, so you can come back to it whenever you need.

What's inside

• Pick the right problem. How to tell the difference between AI that delivers a real, early win and AI used just for the sake of using AI.
• Keep it simple. Why a simple solution isn't a basic one, and how "keep it simple" is what kept one client's SaaS running under $100/month.
• Make it outlast anyone. The questions that tell you whether a solution belongs to your business or to one irreplaceable person.

Who it's for

Founders and business owners who sense AI could help but want to know what's actually possible, and what to ask for, before handing the build to anyone.

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