The first time I got a surprise AI bill, I did what every founder does.
I opened the invoice. I stared at it. I did the math in my head. Then I told myself I would be more careful next month.
That reaction is the problem.
If the only time you see your AI spend is at the end of the month, you are not managing usage. You are managing regret.
The money is already gone. The bad prompts already happened. The runaway loops already ran. The expensive model choice already made sense in the moment because there was no friction to stop it.
That is why I built TokenBar.
It is a tiny Mac menu bar app that shows token usage and cost in real time while you work. Not after the fact. Not in some dashboard you open later when you are already annoyed. Right there, in the menu bar, where you can see the burn as it happens.
That small shift changes how you use AI.
When cost is visible in the moment:
- You notice runaway sessions before they become expensive
- You stop treating every task like it deserves the biggest model
- You make tradeoffs intentionally instead of emotionally
- You start asking a better question: do I actually need to keep this going?
A lot of founder pain comes from the same pattern.
The problem is not always the spend itself. Sometimes it is the delay between action and consequence.
If feedback is slow, you drift.
If feedback is immediate, you adjust.
That is true for money. It is true for attention. It is true for shipping.
A few examples:
- If a debugging loop can burn $15 in 20 minutes, you need to see that before the hour is gone
- If a model is 10x more expensive, you should know that before you default to it
- If your workflow is full of tiny leaks, you need visibility at the point of work, not in a monthly report
I built TokenBar because I wanted something that felt like a gas gauge for AI spend.
Simple idea. Brutally useful.
It is for people who work with LLMs every day and do not want to find out later that they accidentally ran up a bill because they were distracted, tired, or just moving too fast.
That is the real lesson here.
Most expensive problems are not expensive because they are rare. They are expensive because you do not notice them quickly enough.
So if you are building with AI, give yourself a faster feedback loop.
Make the cost visible while you are still able to change course.
That is what TokenBar is for.
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