Stop Building Your Business Around One AI Model

Pick the best AI model today and one thing is certain: it won't be the best a year from now. The frontier moves in months, not decades. So the worst thing you can do is wire your business so tightly to one model that swapping it means rebuilding everything.

After 35 years in technology, I've watched companies fall in love with a specific vendor, a specific stack, a specific "this is the one." It feels like commitment. It's actually fragility. The teams that win treat the model as the part that's supposed to be replaced.

The model is a component, not the foundation

Think about how you already treat other infrastructure. You don't hard-code one payment processor into every corner of your app—you put an abstraction in front of it so you can switch when pricing or reliability changes. AI deserves the same respect. The model is a swappable component. The durable thing is the system around it: your data, your prompts and evaluation, your guardrails, your business logic, and the interface your team and customers actually touch.

Get that system right and the model becomes a setting. A better, cheaper, or faster one ships? You swap it, re-run your evaluations, and move on. Get it wrong—bake one model's quirks into a hundred places—and every upgrade becomes a migration project.

What "build around it" looks like in practice

You don't need a research team to do this. A few habits cover most of it:

• Put a thin layer between your app and the model. Route every AI call through one place so the model name lives in a single config, not scattered across your codebase.
• Keep a small evaluation set. Twenty to fifty real examples with known-good answers. When you want to try a new model, you run the set and see whether quality holds—instead of guessing.
• Own your data and prompts. These are your moat, not the model. They should be portable across whatever's running underneath.
• Design for failure. Models have bad days and deprecations. A fallback path beats an outage.

Why this matters more now

Vendors want lock-in; that's their business model, not yours. Every proprietary feature that's convenient today is a switching cost tomorrow. Convenience is fine—dependence is not. The goal isn't to avoid using a great model. It's to make sure that using it never becomes a cage.

I learned this the hard way building real systems under real constraints. The projects that aged well weren't the ones that bet biggest on a single piece of tech. They were the ones built so the tech could be replaced without drama. That's the difference between a believer and a builder.

Build it to last

Whatever AI you're using right now, ask one question: if a better model dropped tomorrow, how long would it take you to switch? If the honest answer is "weeks" or "we can't," your business is built on the model instead of around it. Fix that, and you get to enjoy every leap in the field instead of fearing it.

If you want help figuring out where AI fits—and how to build it so you can swap models as the tech moves—that's exactly what I do on a free 15-minute AI Fit Call. Book your AI Fit Call →