Of 1,840 signups this week, 47% reached the aha event vs your ~58% baseline. The drop is concentrated in self-serve accounts on the paid plan, the ones that expand.
An agent watches one thing and acts on it. Not a workflow, just a standing watch that usually does nothing and acts the moment it should.
An agent does what you'd do, and only what you've authorized.
It acts on the same governed metrics as your dashboards, and every action is logged and traceable.
It alerts and recommends on its own; anything that changes data is yours to approve.
Point a new agent at a throwaway channel and watch its judgment before it touches anything real.
It remembers what it already flagged and waits before acting again, so it won't alert you about the same thing twice.
It watches your Mixpanel events and cohorts joined to the revenue and account data that tells you what they're worth, so you learn which behaviors lead to expansion and which precede churn. That join lives outside Mixpanel, so you've never been able to watch it continuously until now.
When a funnel's conversion to your aha event breaks its trend, it tells you which step is leaking and which accounts are stuck, then hands off to Fi to dig into why across the events it can see. You hear about it while you can still fix the onboarding, not at the next QBR.
It tracks how each cohort comes back week over week and flags the moment a segment's curve flattens, with the release annotation that lines up in time. You find out a feature ship hurt retention from the data, not from a churned renewal.
Beyond alerts and write-backs, an agent can run arbitrary Python, so it can do whatever the task actually requires: call an API, kick off a job, reshape the data, or wire into your own tooling. The action space is yours to define.
You could rig one of these with a cron job and a Slack webhook in an afternoon. The watching is the easy part. Here's what you'd own forever, and don't, here:
Every Mixpanel object, modeled and query-ready the moment you connect.
It runs on your real Mixpanel project (renamed events, undefined properties, the funnel you never quite cleaned up), not a tidy demo.
A message in the channel you choose, with the context and a button to act on it.
A summary in the inbox of the people who need to see it.
A payload to your own systems, to wire the agent into whatever you already run.
A flag written back to your warehouse for everything downstream to pick up.
Kick the question to Fi to investigate the why and propose the fix.
Expose it to your own agents and tools over MCP, and drive it from your stack.
Run it in your own VPC or fully self-hosted. Everything it does is pure SQL and Python you can inspect.
Fi is your AI analyst. It helps you build and customize everything in Definite, including the agents that watch and act.
Your AI analyst. Ask questions in plain English, and let it help you build and customize everything in Definite, including your agents.
Meet Fi →The watchers and actors. Once you've built one, it runs on its own, keeping an eye on what matters and acting the way you would.
Autonomous agents →