If your AI feature is growing but margins are shrinking, you probably don’t have enough token-level visibility.
Most teams track revenue, latency, and uptime.
Very few track token efficiency with the same discipline.
What usually goes wrong
- A “temporary” prompt becomes permanent
- Context windows expand with each release
- Expensive models are used where cheaper ones work
- Nobody owns token budget hygiene
A practical fix
We built tokenusage.site to make token behavior easy to inspect across providers.
That changed how we run product reviews:
- We review token changes with each feature launch
- We compare prompts by cost-per-outcome
- We set guardrails before costs become incidents
AI apps can have great gross margins, but only if you measure the right thing.
If you’re building in this space, I’d love your take:
https://tokenusage.site
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