Built to be read by agents.
Machine-first surfaces for the systems that run your AI: MCP pre-flight change-checks, machine-readable pricing, and an llms.txt written for automated readers — not just people.
An agent changes a config with no pre-flight check.
MCP tools let it ask whether a change is eligible before it acts.
Pricing and capabilities live in prose an agent has to guess at.
Machine-readable pricing and llms.txt state them in a form an agent can parse.
A verdict is a screenshot a human has to interpret.
Evidence records are addressable and re-runnable — an agent can cite the record, not a picture.
Two loops, always running.
Find, prove, and apply better configurations.
Generate candidate configurations — model, prompt, parameters, routing — and prove model and route switches with pre-registered randomized trials on your traffic. Promotion only follows causal evidence.
Guard every configuration that's already live.
Watch every live configuration for drift, re-check incumbents when a provider ships a model release, and roll back when a breaker trips. The last proven config is restored automatically.
The same evidence a human reads renders as an addressable record an agent can fetch and re-check. See the machine surface in a read-only workspace.
Explore a live workspace →Put every workload on its best proven configuration.
Connect a workload, approve an acceptance contract, and let the loops run.
Figures shown in the demo workspace are synthetic. Every number carries its provenance.