Watch the loop run, then the three clips for your job.
Thirty-eight seconds for what Metrx does, over the same surfaces a customer sees. Then twelve shorts, three for each of the four audiences we build for. Every figure in every clip is synthetic demo data from the Northwind workspace.
The biggest number on the page is the one we refuse to act on.
That is the product working.
- +52% on this swap — the biggest number on the page.
- Evidence verified. Quality not confirmed. Verdict: Hold.
- The policy stays disabled until the quality floor clears.
Builders
You ship the agent. You also own whether its config is still the right one.
You picked a model at launch and never looked again.
Prices moved. Models shipped. The pick did not.
- Metrx re-checks the pick as prices and models change.
- When a cheaper one holds, you hear about it.
- You approve; winners go live.
Changing prod config is a leap of faith.
No holdout. No rollback. No record.
- Every change is designed to run against a randomized holdout.
- Breakers armed the whole time.
- Nothing switches without your OK.
- If quality slips, it rolls back — automatically.
Benchmarks tell you what a model can do.
Not what it does for you.
- The only trial that counts runs on your traffic, your prompts, your users.
- Randomized trials on your traffic.
- You approve; winners go live.
Platform teams
Someone has to own the loop across every workload — with a rollout story.
Nobody owns whether each workload is still on the right config.
So nobody checks.
- Metrx owns the loop: propose, prove, apply, watch.
- Under your acceptance contracts.
- The ML-platform team you don't have to hire — for your AI configs.
Config changes need a review, a rollout plan, and a rollback story.
Every single time.
- Bounded exposure comes standard.
- So do automatic breakers and a restored incumbent.
- Nothing switches without your OK.
A model release could silently regress a workload for weeks.
You'd find out from a user.
- Incumbents get re-verified on release.
- Before your traffic feels the change.
- Old way vs. new way, side by side.
- It only turns green when it's proven.
Enterprise
Changes ship on evidence, and the evidence survives the meeting.
AI configuration changes ship on judgment, not evidence.
Then get defended in a meeting.
- Each change is a pre-registered randomized trial.
- With a reproducible record — inputs, splits, readouts.
- Re-runnable by you, or by your auditors.
A provider model update lands with no regression gate.
Your workload changed. Nothing told you.
- The Assure loop re-verifies incumbents on release.
- And rolls back on contract violation.
- You set the contract; nothing promotes outside it.
Spend and behavior spread across teams.
With no shared account of them.
- One evidence ledger for every workload.
- Wins, losses, and rollbacks — with provenance.
- Even the failures stay on the record.
- That's why you can trust the wins.
Agents
The surfaces an agent reads directly, without a human in the middle.
An agent changes a config with no pre-flight check.
It finds out afterwards, like everyone else.
- MCP tools let it ask whether a change is eligible — before it acts.
- Built to be read by agents.
Pricing and capabilities live in prose.
An agent has to guess at it.
- Machine-readable pricing and llms.txt state them in a form an agent can parse.
- Built to be read by agents.
A verdict is a screenshot a human has to interpret.
An agent can't cite a picture.
- Evidence records are addressable and re-runnable.
- An agent can fetch the record, not a picture.
- The same evidence a human reads.
The clips show. The workspace proves.
Everything above is a recording. The workspace behind it is read-only, open without a signup, and shows the same evidence the shorts narrate — including the verdicts we refused to act on.
Prefer to read it? The same claims in writing.