Join the beta. 10 spots.

If your company runs an AI agent in production, we'd like to compile its most repeated jobs with you.

Book a call

cal.com/agent-compile/beta

To start, we'll ask to see your agent's logs.

Pilot

How a pilot works.

Nothing goes live until you've seen how each job did on your history.

  1. 01Learn

    Show us your logs.

    We show you which jobs your agent repeats.

    Your agent's logs: requests like order status, cancelling an order, changing an address and filling in a job application come up again and again, and each is marked as a repeated job. A request that doesn't repeat is left unmarked.

  2. 02Prove

    We prove each job on your history.

    Each job has to get your past conversations right.

    A job is replayed on your agent's past conversations. In most it does exactly what your agent did; in the rest it doesn't act and leaves the conversation to your agent. It never does anything different.

  3. 03Run compiled

    Add the SDK.

    Known jobs run compiled. Everything else goes to your agent as usual.

    One line adds the SDK, wrapping your agent's model client. Then live requests at that client: known jobs like order status, cancelling an order or filling in an application run compiled, asking the customer for a yes before changing anything. A new request goes to your agent, unchanged.

It keeps learning.

Your agent's history keeps growing, and AgentCompile keeps reading it. When a new job starts to repeat, it's proven on your history and goes live, so more of your agent's work runs compiled over time.

  1. Your agent works

    Every conversation adds to your agent's history. With capture on, each call is sent in the background, scrubbed on your machine first.

  2. New jobs surface

    When a kind of request starts coming back again and again, AgentCompile picks it up as a new repeated job.

  3. Each one is proven

    A new job goes live only after it gets your past conversations right. Nothing changes until you've seen how it did.

  4. More runs compiled

    Each job that goes live is one more your agent's model doesn't have to think through. Everything else still goes to your agent, unchanged.

Each step is a new job going live. The shape, not a measurement: how far it goes depends on your agent's own work.

A stepped chart over time: the share of your agent's calls that run compiled climbs one step each time a new job goes live, and the rest goes to your agent. It shows a shape, not measured values.