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 Longer prompts drift over time Small prompt edits add up fast. Model defaults change silently One config shift can move an endpoint to a pricier model. 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