The task tracker for teams where AI works

The workspace where
AI is a full-fledged teammate

Your AI assistants write briefs, do the tasks, check for bugs, and keep the board up to date. Your team focuses on decisions – the AI handles the mechanical work.

Up to 4 hours a weekspent per person on manual statuses and reports

tam agent

superagent · 4 specialists

working
Goal
Kick off the Q3 launch.
Broke the goal into 6 tasks
Assigned owners across the team
Prepared the launch brief in Docs
Scheduling the kickoff…
Started from a one-line goal3 of 4 done
// How it works

Work that does itself.

No extra windows, no context switching – here's what happens under the hood.

Connect

Connect tam to your AI assistant – Claude Code, for example – in a couple of minutes, no coding required.

Context

The agent gets access to tasks, sprints, and the knowledge base within the permissions it's been granted.

Auto-update

As the work happens, tam moves the cards itself, links commits, and writes a summary of the changes.

Claudetam
custdev_call.mp314:32
Here's a customer call recording – find the feedback and file tasks in tam
tam is working…

Found 4 pieces of feedback in the recording and filed them to the backlog

tam · to do
Speed up report loadingHigh
Fix the Excel exportHigh
Add a date filterMedium
Add a dark themeLow
Added to backlog · 4 tasks
To do4
TA-32
Speed up report loading
High
TA-33
Fix the Excel export
High
TA-34
Add a date filter
Medium
TA-35
Add a dark theme
Low
In progress0
Review0
Done0
// How teams actually use it

Every role gets its own scenario

Just a few examples of the busywork that disappears from your day.

Developer

scenario · Claude Code

You write code in Claude Code – the agent sees the linked task in tam
The agent links commits to the task and leaves a summary of the changes on the card
The status moves itself to Review – you just check it and approve

QA engineer

scenario · bug report

You spot a bug together with an AI while testing
You ask the AI to file a ticket with a description and repro steps
The agent assigns the right developer itself – no manual lookup

Product/Analyst

scenario · breakdown

You paste requirements as text or a call recording – no special format needed
You ask the AI to break them into clearly worded tasks
The tasks appear on the board ready to work – no manual copying

Team lead

scenario · release status

You ask an AI in chat: "what's the release status?"
Nobody on the team gets pulled away – the AI doesn't go asking developers
The answer comes from real commits and open PRs, not a recap from a standup
The board stays yours

You lose nothing – you just do less by hand.

The board, tasks, and docs stay right where they are – drop in anytime to steer the work, check progress, or just see what's happening. Run sprints the way you always have: Scrum or Kanban, your statuses, your T-shirt estimates.

ScrumKanbanT-shirt estimatesStatuses = your columns
tam – Launch Readiness · Board
tam – Task detailtam – Notes
tam agent working alongside the team on a shared board
An AI agent, on the team Soon

Not a chat bot –
a colleague on your board.

The tam agent works right on your board, alongside the team: it gathers context, does the task over MCP, checks its own work against your standards, and reports back – like a team member, not a process running off to the side.

Research

Gathers context from your docs, tools, and history.

Execute

Takes real actions in your stack over MCP.

Review

Checks its own work against your standards.

Follow-up

Reports back and keeps the loop closed.

Automated workflows Soon

Set the goal. tam runs the rest.

Turn any recurring process into an agent that runs itself – triggered by an event, a schedule, or a single sentence.

When
a bug is filed
tam agent
triage, reproduce, prepare a fix
Then
assign & notify
Runs automatically, every time
Slack agent Soon

It works where your team already talks.

Mention @tam in any thread. It picks up the work, runs it across your tools, and reports back – no new app to open, no context lost.

#leadership
Lera
@tam pull together the Q3 numbers and share them with the team
t.
tamAGENT10:42
✓ Done – here's the Q3 wrap-up

Compiled the Q3 report from analytics, posted it to #leadership, and created 3 follow-up tasks for the gaps I found.

Q3-report.doc+3 tasks
AI teammates Soon

Add an AI to your team like a new hire

The same board, the same tasks – just one more teammate joins. Every AI agent gets its own name, role, and limited permissions, like a new person joining the team, not a script with access to everything. The foundation already works; a self-serve panel to configure it is in private preview.

QA bot

New to the team

QA · limited access

Access
Works on tasks
Revoke
One click
Assigned task
Verify the login regressionIn progress
Permissions are limited from day one – just like a new hire

What if it breaks something? The agent can't go beyond what you allow. Permissions are granted gradually – the same way you'd onboard a new hire.

Integrations

Works with the tools you already use.

GitHub is in progress. Slack, Notion, Drive, Telegram, Miro and Figma are on the way.

Third-party connectorsSoonGet early access →
Slack
GitHub
Notion
Drive
Telegram
Miro
Figma
+
coverage expanding

Free your team for what matters.

Connect tam in a couple of minutes, link your AI assistants to the board, and spend your time on the work that matters, not status meetings.

Get started · No credit card