Automation built by your AI agent

Stop building automations.
Start describing them.

Connect your AI agent and describe what you want automated. It builds a real, versioned workflow as a candidate — and nothing goes live unless that candidate passes its test scenarios.

Early product, actively developed

How it works

From a request to a running workflow—in three guarded steps.

01

You ask

Describe the outcome

Just tell your AI agent: “When an order arrives, validate it, notify the warehouse, and retry failures.”

02

Flowbrew builds it

No coding required

Flowbrew turns your request into a working automation behind the scenes. Ask for a change later, and it creates a new candidate version without touching what's already live.

03

Flowbrew verifies

Broken automations stay out

Flowbrew runs the candidate against its test scenarios before anything changes. You approve what “working” means; Flowbrew enforces those scenarios on every subsequent change.

Why Flowbrew

The freedom of code, with a deployment safety net.

Your agent builds the workflow once — it doesn't improvise in production. A generated change is a candidate — not a deployment. It must pass its test scenarios before it can replace what's live.

Works where your agent works

  • Connects directly to your AI agent
  • Create, update, and trigger, all by asking
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Real logic, not just boxes and arrows

  • Handles real branching and retries
  • Written for you automatically

Safe, automatic promotion

  • You approve the test scenarios
  • Failed candidates never replace what's live

Organized for every workspace

  • Projects keep automations grouped
  • Each team gets its own secure access

Built for speed and reliability

  • Runs on enterprise-grade infrastructure
  • Fast, everywhere in the world

Easy to enter, scoped by design

  • Google or magic-link sign-in
  • Your data stays separate per team

Build beyond the template

Give your agent a workflow runtime it can actually program.

Open Flowbrew