Make the change visible.
A model switch, a route adjustment, or a new guardrail deserves a clear diff. People should be able to understand what they are about to release.
Why we’re building TokenTriage
AI will keep changing.
The way you release it should hold up.
Our mission is to give teams a repeatable way to change production AI — with a clear decision, useful evidence, and control over what runs.
Our conviction
Connecting a model is the beginning.
The harder work starts with the next change. A new model looks promising. A route could cost less. A protection policy needs updating. Each decision can change the experience of someone using your product.
Teams need a way to move from “this might be better” to a release they can explain: what changed, what they tested, who approved it, and what actually reached production.
That is why TokenTriage brings the LLM gateway and the release workflow together. The place that serves the request can also connect that request to the change behind it.
The release control plane
A process your team can repeat.
- 01Prepare
Make the intended change explicit.
- 02Evaluate
Know what the evidence supports.
- 03Release
Control the move into production.
- 04Verify
Learn from what actually ran.
Product principles
Built around the release decision.
These principles shape the product: from the first candidate a developer prepares to the review a platform team needs before rollout.
Keep the evidence attached.
An evaluation is useful when you know which candidate it tested. A request is useful when you know which release served it. Keep those connections intact.
Design for the next decision.
The workflow does not end at deployment. Runtime confirmation, investigation, and a checked recovery path are part of releasing responsibly.
Your next production change
Build a better way to change production AI.
Bring the next change your team is considering. Let’s walk through the decisions, evidence, and controls around it.