I've been thinking a lot about the economics behind AI coding tools.
The AI itself isn't cheap. Every time an agent reads files, runs commands, or goes through another iteration, there's an inference cost somewhere.
So when a coding agent is advertised as "free", I think the more interesting question is: who is actually paying for the inference?
That's one of the things I'm experimenting with through Clixad.
Clixad is a cloud-based AI coding agent for the terminal, built around the same kind of agentic workflow people use with tools like Claude Code or Codex.
Users get free coding credits. When they need more, they can earn additional credits through advertiser-funded offers, forms and surveys.
The advertisers effectively help fund the inference instead of the user paying directly.
I'm not trying to pretend this makes AI inference magically free. It doesn't. It's just a different way of covering the cost.
And honestly, I'm still figuring out where the economics break down.
How many credits can you realistically give someone? How much advertiser revenue can actually be generated per user? Does the model work better for occasional users than heavy users?
Those are probably more interesting questions to me right now than simply trying to add another feature.
I'm curious what other founders think: can an AI coding product realistically stay free for users if the inference is funded by something other than subscriptions or API payments?