Average video views dropped from ~18,200 to ~10,100 over the last 7 days. Full-video watch rate fell to 11% across new posts, down from your 19% baseline. Audience geography shifted, with US share dropping 8 points.
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 TikTok video engagement and audience reach to the conversions and revenue in your warehouse, so you see which content themes actually move the needle, not just which videos got the most likes. You walk into the review with a number that connects organic reach to pipeline, not a vanity chart.
When full-video watch rate or average time watched falls below its trend, it tells you which posts lost viewers, where in the video they dropped, and how impression sources shifted. You find out your content is losing the algorithm on Wednesday, not when the monthly report lands.
When your follower demographics or video audience geography change, it surfaces where the shift happened, which posts attracted a different audience, and whether your engagement rate held. You adjust your content calendar while the data is still fresh, not after a quarter of posting to the wrong crowd.
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 Tiktok Business object, modeled and query-ready the moment you connect.
It runs on your real TikTok Business account (deleted videos, inconsistent captions, test posts 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 →