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.
Why I built TokenBar
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.
If you want to check it out, TokenBar is here:
https://tokenbar.site/
It is $5 lifetime.
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