Your top three Pinterest campaigns spent $9,200 over the last 7 days, but only $4,100 tied to closed revenue in your CRM. Pinterest reports 312 conversions; your billing data shows 74 actual purchases. Blended CAC is sitting at $124 against your $85 target.
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 joins your Pinterest Ads spend and conversion events to the deals and purchases your CRM and billing data actually recorded, so you see real ROAS and blended CAC by campaign, not Pinterest's own conversion count. When the platform says a campaign is profitable but revenue says otherwise, you find out that week, not at the quarterly review.
When a campaign's daily spend races past its cap or an ad group's cost per action breaks its trend, it surfaces which campaigns and ad groups are responsible, how much budget is at risk, and lines up the pause or reallocation for you to approve. You catch it mid-flight, not at month-end.
When CTR decays and cost per click climbs on a pin that was carrying the account, it surfaces the affected ads and the dollar impact so you can rotate the asset while there's still time. The watching happens every day, not whenever someone remembers to open Ads Manager.
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 Pinterest Ads object, modeled and query-ready the moment you connect.
It runs on your real Pinterest Ads account (paused campaigns, overlapping audiences, naming-convention drift and all), 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 →