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§ Agent · Trello

The Trello data agent that acts the way you would.

It keeps an eye on your Trello boards alongside the rest of your ops stack, on a schedule you set or whenever fresh data lands. When work stalls or the process drifts, it tells you, or handles it the way you'd want.

D
DefiniteAPP9:14 AM · #ops-alerts
⚠️ 17 cards past due with no activity in 10+ days, blocking 3 launch workstreams

These cards across your Product and Ops boards haven't moved lists or received a comment since early June, well above your ~3-day touch cadence. 6 of them are tagged as blockers for next week's release.

Review & approve Dismiss
Trello Cards + Lists + Activity · joined to project timeline and CRM data · audit log

How an agent works

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.

◄ repeats on the schedule you set ►

You stay in control

An agent does what you'd do, and only what you've authorized.

The same trusted numbers

It acts on the same governed metrics as your dashboards, and every action is logged and traceable.

You approve anything that writes

It alerts and recommends on its own; anything that changes data is yours to approve.

Try it on a test channel first

Point a new agent at a throwaway channel and watch its judgment before it touches anything real.

No false alarms

It remembers what it already flagged and waits before acting again, so it won't alert you about the same thing twice.

What you can put an agent on

ReconcileACROSS YOUR SOURCES

Tie what Trello says to what actually happened downstream

It joins your Trello cards to the systems they track (your CRM, your billing, your deploy logs) and flags where a card says shipped but the source never moved, or where real progress hasn't made it back to the board. You catch the gap between the tracker and reality before someone makes a decision on stale data.

CardBoardActivity
Stale

Surface the cards that have quietly gone cold

When cards in a critical board stop moving, miss a checklist update, or sit in the same list past their due date, it tells you which ones, who owns them, and how long they've been stuck. You hear about the stall while there's still time to fix it, not when leadership asks why the board looks off in the standup.

CardListChecklistMember
Workload

Flag uneven assignment before the sprint breaks

When one member's card count spikes relative to the team's baseline, or when unassigned cards pile up in a list, it surfaces the imbalance with the numbers attached. You rebalance before the overloaded person starts missing dates, not after.

MemberCardBoard
Custom

Run any Python it needs to get the job done

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.

Why not just build it yourself?

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:

  • The cross-source join: not one tool's data, but it reconciled against the rest of your stack
  • A trusted, consistent metric: the same number your dashboards use
  • The investigation into why, when something fires
  • A full audit trail of everything it did
  • The upkeep, when the schema drifts or the script breaks at 2am

The data it works from

Every Trello object, modeled and query-ready the moment you connect.

Board
operations
Card
operations
List
operations
Checklist
operations
Member
operations
Activity
operations

It runs on your real Trello workspace (the archived cards nobody cleaned up, the boards with 200 cards in one list, the checklists that were abandoned halfway), not a tidy demo.

Where it acts

Slack

A message in the channel you choose, with the context and a button to act on it.

Email

A summary in the inbox of the people who need to see it.

Webhook

A payload to your own systems, to wire the agent into whatever you already run.

Warehouse write-back

A flag written back to your warehouse for everything downstream to pick up.

Hand off to Fi

Kick the question to Fi to investigate the why and propose the fix.

MCP

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.

Build your agents with Fi

Fi is your AI analyst. It helps you build and customize everything in Definite, including the agents that watch and act.

Fi

Your AI analyst. Ask questions in plain English, and let it help you build and customize everything in Definite, including your agents.

Meet Fi →

Agents

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 →

Get started

  1. 1Connect Trello, and the sources it needs to reconcile against. Synced and modeled in an afternoon.
  2. 2See the numbers tie out to what you already trust.
  3. 3Put an agent on one thing you can't afford to miss. Fi helps you build it.
§ FAQ

Common questions

You set the schedule, and it also re-checks whenever fresh Trello data lands. Each agent watches the one thing you point it at, nothing else.
It alerts and recommends on its own. Anything that writes, whether to a tool, your warehouse, or a customer, is yours to approve. You can also point a new agent at a test channel first and watch its judgment before it touches anything real.
When something fires, it can hand off to Fi to investigate, drilling into the data it has across your connected sources to find what's behind the move, and showing its work.
Those show card counts inside Trello and trigger automations on single-board events. This watches continuously, reasons across Trello plus your CRM and project systems, and hands off to Fi to investigate why work stalled, so you catch it before the standup, not during it.

Your answer engine
is one afternoon away.

Book a 30-minute call and watch us build your first dashboard live, with your own data.