THE CONTROL LAYER BETWEEN AI AND ACTION

Let agents work.
Keep control of what happens next.

Connect your agents to Pantheon before they change real systems. Review the exact action, control execution, and see which outcomes still need your attention.

Open your workspace ↗See it in motion ↓

Start with governed releases. Guard SDK integrations are in alpha.

A little help. A clear next step.

Explore a representative workflow

Help me ship the reviewed release.
Let's bind the deployment to your reviewed commit, then get the right decision before production changes.
Explore this action ↓
Your agents.
Your boundaries.

Product walkthrough · 31 seconds · representative example

See what happens before an agent acts.

One request, an accountable decision, and a visible outcome. Choose an example and follow the steps.

Illustrative release · no production changes

An agent submits a production outcome with explicit limits and a named target.

E

Production release · billing webhook retry

draft
Engineering agent·0s·$0.00·Illustrative values

"The billing webhook retries on 5xx but not on timeouts. Fix it, add a regression test, and get it to production."

Tokens

50,000

Spend

$5.00

Wall clock

30 min

The mission stops itself at any cap. It cannot quietly overrun.

Step 1 of 7
01 / 04 · Choose a topic above · scroll the page