Matthew Goddard

Sometimes you need to know when to stop using AI

People expect a lot from AI these days, sometimes too much. Sure, it’s incredible at speeding things up but AI isn’t great at finessing the final details yet.

Its strength is getting you a running start, not a polished finish. Your goal is to get your design, code, presentation, or doc far enough that you’ve saved yourself meaningful time. The value, at the moment, comes from that head start.

But how do you know when it’s time to stop?

There are a couple of signals:
* You’re going in circles: You prompt for a change, it kind of happens, but then you’re back tweaking or narrowing the same thing over and over.
* You get the nagging feeling: “It’d be easier to start from scratch than keep fixing this.”

That’s your subconscious telling you: It’s time to stop. Remember, the goal is to accelerate your work, not to finish it.

Only you can define what “done” looks like. AI can’t read your mind. If you keep pushing it, you’ll fall into the sunk cost fallacy, believing you must finish your task using AI because you’ve already spent so much time with it.

For example, if you’re creating a prototype for a dev and you’re getting stuck, stop and document the changes that are still needed. You’ve given them an accelerator, now help them understand what needs to happen next. You’ve invested hours with AI to save days.

Think about it for a moment, you’ve invested hours with AI to save days. How long would it have taken you to create a code-based prototype? Could you have even done that before? You have accelerated the whole process. Sure, what you did isn’t 100% perfect, but you’re much further down the road than you would have been.

Don’t get trapped. Stop. Use whatever other tool or skill you need to cross the finish line.