How we reduced wasted LLM spend with simple token visibility

A lot of “AI cost optimization” advice is complicated.
What worked for us was basic visibility.

Before tokenusage.site, our process looked like this:

• Guess why spend changed
• Argue in Slack
• Open billing pages
• Repeat next week

Now we track usage trends daily and catch regressions quickly.

3 patterns we noticed

1. Longer prompts drift over time
   Small prompt edits add up fast.

2. Model defaults change silently
   One config shift can move an endpoint to a pricier model.

3. Teams optimize latency first
   Which is fine—until no one watches token efficiency.

What tokenusage.site gives us

• One dashboard for token usage behavior
• Fast anomaly detection
• Better decisions during model/prompt reviews

If you build AI features and your usage data is scattered, this might help.

https://tokenusage.site