MILO demo
One action, four checkpoints.
This is the simplest way to understand MILO: an AI system wants to publish a customer-facing change note, but the action has to pass through checks, human authority, and evidence before it becomes real.
01AI proposes
An agent drafts a public update and asks to publish it.
02MILO checks
The request is evaluated for public impact, evidence, scope, and rollback clarity.
03Human approves
The action pauses because the wording affects real users and needs judgment.
04Action is recorded
The final copy, approval, evidence, and route stay attached for later review.
Decision record
Approved with a record.
The action can move because consequence, scope, and evidence are clear enough for this route.
Human-approvedRoute selected
CompleteRecord state
Action can proceedNext step
Microinteraction
Choose the checkpoint result.
Each choice changes the public-safe record. That is the point: the control surface must change the outcome, not just animate.