
AI Control Center
Track and cut your AI provider costs in one dashboard
A few months ago our AI bill quietly crept up, and nobody on the team could tell you why.
We were using OpenAI, Anthropic, Gemini, and Bedrock at the same time. Every provider had its own dashboard, its own billing page, its own login. There was no single place to see total spend, and we only found out costs had gone up after the invoice landed.
On top of that, we kept defaulting to the most expensive model for almost everything — not because we needed to, but because nobody had the numbers to prove a cheaper model would work just as well for most requests.
And separately: API keys were scattered across .env files and Slack DMs. That's its own risk for any team.
So I built AI Control Center to fix both problems in one place:
— Real usage-based cost tracking across providers, pulled from actual usage logs, not estimates
— A reveal-once key vault (keys are shown in full exactly once, then only the last 4 characters are ever stored)
— Provider health monitoring with real uptime data, not guesses
— A cost optimizer that shows where you can realistically switch to a cheaper model without hurting output quality
— Team roles, 2FA, and audit logging for teams that need it
It's solo-built, still early, and free while I get feedback from real usage. I'd rather find out now what's actually useful versus what I think is useful.
If you're juggling more than one AI provider — how are you currently tracking what you're spending? Genuinely curious if this is a problem other teams have, or if we were just doing something wrong.
About
I built AI Control Center because our team was juggling separate dashboards for every AI provider we used — OpenAI, Anthropic, Gemini, Bedrock — and nobody had a single view of what we were actually spending.

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