Live

Pilot.

Close the loop, within your guardrails.

Pilot is where Optimize is headed: an agent that keeps your other agents tuned. It applies proven changes, runs ongoing experiments, and holds the outcome bar while spend falls, all inside guardrails you set. Humans set the bounds, Pilot does the tuning, and the override never goes away.

running
Pilot · autonomouscycle 7
Optimizing support-agent72%
Swapped model on triage
Added verify on refunds
Re-checked outcomes
+0.4x value
How it works

Bound, tune, override.

01
Bound

Set the outcome, cost, and risk guardrails Pilot must stay inside.

02
Tune

Pilot applies proven changes and runs experiments on its own.

03
Override

Every action explained and reversible. The override is permanent.

The levers

What it improves.

01
Continuous tuning

Keeps each agent at its best config as traffic, models, and tasks drift.

02
Guardrails

Optimizes only within the outcome, cost, and risk bounds you set.

03
Auto-experiments

Spins up and resolves experiments on its own, promoting only proven winners.

04
Full action log and override

Every change explained and reversible. The human override switch is permanent.

Who it's for

Who reaches for Pilot.

  • ·Teams running many agents
  • ·Operators tired of manual tuning
  • ·The autonomous-org crowd
Same suite

Pairs with the rest of Optimize.

Want Pilot in your stack?

We're onboarding design partners now. Join the waitlist to be in the Pilot cohort.

Just email is required. One email when Pilot goes live. Nothing else.