Reel impressions dropped from ~82k to ~54k over the last 30 days while follower growth stalled at +120/wk (your baseline is ~310/wk). Meanwhile, UTM-tagged Instagram traffic has generated zero pipeline in the CRM this quarter, down from 8 opps last quarter.
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 Instagram reach and engagement data to your CRM and revenue source, so you see which content formats and posting cadences actually produce pipeline, not just likes. When a content type that used to drive traffic stops generating downstream conversions, you find out before the quarter closes.
When impressions, reach, or saves break their trend on posts or reels, it tells you which content types moved, by how much, and when the shift started. You find out in days, not when someone asks why the social numbers look off in the monthly deck.
It watches story impressions, reach, taps, and exits over time. When exit rates climb or reply rates fall below your baseline, it flags which story sets are underperforming and how the trend compares to your last 30 days, so you adjust the format before the algorithm deprioritizes you.
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 Instagram object, modeled and query-ready the moment you connect.
It runs on your real Instagram account (carousel orphans, stories that expired before anyone checked, engagement dips from algorithm changes 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 →