I built TokenBar after realizing prompt bloat is easier to ignore than fix

A lot of AI cost advice starts too late.

People notice the bill.
Then they start asking what went wrong.

While building with AI tools every day, I kept running into a more annoying reality.
The expensive part usually happened earlier, when nothing looked obviously broken.

The prompt still worked.
The response still came back.
The tool still felt productive.

But the context had quietly gotten fatter.
The retries had started piling up.
The lazy copy-paste habit had turned one reasonable workflow into a noisy expensive one.

That was the moment I started caring less about dashboards and more about live visibility.

Prompt bloat does not feel urgent in the moment

That is the trap.

Bad AI spend rarely arrives like a dramatic production outage.
It usually shows up as a hundred tiny decisions that all feel harmless:

keep the old context in case it helps
paste one more block of docs
retry without changing much
switch to a bigger model because it is faster
leave a long session running because cleaning it up feels annoying

None of those decisions feels serious on its own.
Together, they create a workflow that gets slower, messier, and more expensive without sending a strong enough signal to stop.

I think that is why so many developers end up talking about AI bills like they were random weather.
They were not random.
They were just not visible enough while the decisions were happening.

The useful signal is pace, not just total cost

One thing building TokenBar changed for me is how I think about feedback.

I do not only want to know how much I spent.
I want to know how fast I am burning through the window I am in.

That matters because total usage by itself is too abstract.
Pace tells you whether the current workflow is healthy.

If a session suddenly starts chewing through tokens faster than usual, that is a product signal.
Maybe the context is bloated.
Maybe the prompt structure is sloppy.
Maybe I am brute-forcing a task that should be split up.
Maybe I am just tired and using the expensive model as a substitute for thinking clearly.

That is the kind of signal I wanted in front of me while I work.
Not three tabs away.
Not at the end of the week.
Not after the invoice lands.

Why I built TokenBar

I built TokenBar because I wanted live token visibility in the macOS menu bar.

Not another full analytics ritual.
Just a constant honest read on usage, reset windows, credits, and pace across the tools I actually use.

The goal was simple:
make it harder to stay blind while a workflow gets more expensive than it should be.

That is also why I kept the product small and local-first.
I did not want cost visibility to become another heavy platform with its own setup burden.
I wanted something that could sit quietly in the background and still change behavior at the right moment.