Yesterday an AI agent built a complete feature for Phora in 12 minutes. Routing, validation, UI: all in place. I could have deployed it immediately.
I didn't. Because the feature wasn't needed.
Good code. Good structure. Wrong decision. Users hadn't asked for it; I just thought it might be useful. The AI executed what I told it to, fast. The problem was what I told it.
Speed is a multiplier
If you know what you want to build, AI multiplies your speed. If you don't, it multiplies your steps in the wrong direction. You get to the wrong place faster.
I see this daily. AI agents can assemble entire modules from a well-crafted prompt. But behind the prompt there needs to be a decision: why this, for whom, and what's the goal. The AI doesn't formulate that. I do.
What can't be delegated
There are things AI is perfect for. Boilerplate, tests, refactoring, formatting: machine work for machines. I've outsourced all of it. I'm faster because of it, and I waste less energy on things that don't require thinking.
But there are three areas where I don't ask:
Product decisions: why this feature and not the other. Design taste: what's good, not just what works. Business context: what matters to this specific client, in this specific situation.
These come from experience, context, and taste. They can't be learned from a prompt.
I decide
I'm not against AI. I rely on it daily. But I know exactly where the line is: it executes what I say, faster than anyone else. But what I say is on me.
I decide. The AI executes.
There's always a next level.
If you like what you see (whether you're building a product or a team) I'd love to hear about it.
