The first time I got hit by an AI bill I did what everyone does: I opened the invoice, winced, and promised myself I would be more careful next time.
That promise did not help.
The real problem was not that the bill was hard to pay. It was that I had no idea what was causing it until after the damage was done. Usage was scattered across tools. Some calls were tiny and constant. Some spikes came from one feature I had forgotten was still live. A few days of normal work could quietly turn into a month of surprise spend.
That is what TokenBar is for.
I built it because I wanted a simple, always visible answer to a boring but important question: how much am I spending right now, and what does that mean for the product I am building?
TokenBar sits in the menu bar and turns AI usage into something you can actually see while you work. Not a dashboard you check later. Not a billing email you regret opening. Just live visibility.
That distinction matters more than people think.
Most cost problems in software are not really cost problems. They are feedback problems.
If you only learn about spend at the end of the month, you are already too late. The expensive part was not the bill itself. It was the time spent building under bad assumptions. You thought the feature was cheap. You thought the model choice was fine. You thought the request volume was normal. Then the invoice arrives and proves none of that was true.
That is why TokenBar exists. It reduces the delay between action and awareness.
A few things I learned building it:
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People do not want another analytics dashboard
They want frictionless awareness.
If the answer is hidden behind a tab, a login, and three charts, it is already too late to shape behavior. -
Visibility changes decisions in real time
When cost is right there in the menu bar, you naturally ask different questions.
Do I need this call?
Can I batch this?
Should I use a cheaper model for this step?
Is this feature actually worth the spend? -
Small leaks matter more than big disasters
A huge bill gets attention once.
Tiny waste gets ignored for weeks.
That is why tooling that catches drift early is so valuable. -
Pricing transparency is a product feature, not just an ops concern
Founders and builders talk a lot about model quality. Less about the cost of using that quality everywhere.
But if the economics do not work, the product does not work.
TokenBar is built for people who live inside AI tools all day and want a clearer relationship with the costs they are creating.
If you are shipping with LLMs, here is the real lesson:
Do not wait until finance notices.
Do not wait until usage becomes a postmortem.
Do not wait until you are already defensive about the bill.
Make cost visible early enough that it can influence the work.
That is the whole idea.
I built TokenBar because I wanted to stop guessing.
And because guessing is a terrible way to run a product.
If you are building with AI and want a faster read on what it is costing you, that is the problem TokenBar solves.
