AI TODO list

The AI TODO list that does the items

Every other AI to-do app helps you organise, prioritise and schedule. Then you still do the work. Here the list is the interface to an agent: add "chase the three overdue invoices" and it logs into your accounting tool, sends the emails, and marks the item done with the receipts attached.

~90
integrations in the catalog
5
model vendors, one plan
$0
to start, $2 credit included
One board
your team and your agents
The difference

Organising a list is not the same as clearing it

Todoist, Motion, Reclaim, TickTick and the rest add AI to the list: natural-language entry, auto-scheduling, priority suggestions. Useful, and the work stays yours. TODO for AI starts from the other end. Each item is a task an agent can take, with a machine to run on, a browser that is logged in as you, and a model to think with.

That changes what belongs on the list. "Write the Q3 update", "fix the flaky test", "reply to the five support tickets", "post the launch thread" are all items here, because each one ends with a result and not a reminder.

Examples

What actually goes on the list

Real items from the six audiences we write guides for. One list, one agent, different jobs.

01
Founder

Chase overdue invoices. Draft and send the investor update. Fix the signup bug. Publish the comparison page.

02
Solo developer

Triage new issues. Bump the dependency and run CI. Review yesterday's PR with a second model. Write the changelog.

03
Agency

Pull each client's weekly ad numbers into one sheet. Update the CRM after the call. Ship the landing page copy.

04
Marketing

Turn the blog post into five social posts and schedule them. Refresh the meta descriptions. Send the outreach batch.

05
Ops and support

Sort the inbox. Process the receipts folder. Answer the tier-one tickets. Prepare the monthly report.

How it runs

Add, run, review, done

You add an item by typing or by voice. An agent picks it up with the permissions you set for it: allow, ask first, or block, per tool. It works on your PC, in your Chrome, or on a cloud VM, and posts progress into the item. When it is finished the item shows the result, the files, and the log. You approve, send it back with a note, or close it.

Items run in parallel, keep running when your laptop is closed, and can be scheduled.

Team

Your colleagues and your agents, on one board

Invite people into a project and you get one board that your team and your agents both work on. Items carry the people who worked them and the agent that ran them, and the board filters by person, so what the company has in flight is one screen rather than a thread. An item can start as a note from your ops lead, get picked up by an agent overnight, and come back for a human to approve: one item the whole way through, not three tools and a handoff.

You are not running one assistant, either. Make as many agents as you have kinds of work, each with its own model, its own instructions, its own tools and its own permissions, each a different colour on the board. A careful one with approvals on everything for the billing project, a fast cheap one for triage, a coding one with a shell on your dev box. Items say which agent took them, and several run at once.

Companies do more than one kind of work, so they run more than one project: engineering, marketing, support, finance, one per client. Each project has its own members, its own agent, its own brand voice and its own cards. One team, one pooled budget, one place to look.

01
Who is on what

Items show their contributors and the agent that ran them, and the board filters down to one person, so you can see what is already in flight before starting it again.

02
Many agents, not one

Each agent has its own model, prompt, tools and permission set. Choose the one that takes an item, and run several in parallel.

03
A project per part of the company

Separate boards, members and agents for engineering, marketing, ops or per client, all under one team and one bill.

04
Roles, not an honour system

Read, write or owner per person, and allow, ask-first or block per tool, per agent. Set the tools that touch production to ask first and the approval is required, not remembered.

05
Private when it needs to be

Members who can write to a shared board get a private card only they can see, so personal work lives on the same list without being published to the team.

Next step

After a while it adds items itself

The agent learns your business from what it has done: the site, the repos, the inbox, the accounts it has been inside. From that it proposes TODOs: the page that should exist, the invoice that is late, the dependency with a CVE, the review that has not been answered. You accept or dismiss. The list gets ahead of you instead of behind you.

Decision guide

Which tool for which need

AI that schedules and prioritises my tasks for me to doMotion, Reclaim, Todoist
AI that does the tasks on the listTODO for AI
Coding tasks only, from a repoClaude Code, Codex, Cursor
Documents and research in a vendor sandboxClaude Cowork, ChatGPT agent
Fixed workflows built from triggers and stepsLindy, Zapier
Self-hosted chat agent, bring your own keysOpenClaw, Hermes Agent
Our take
If you want a better list, buy a list app. If you want a shorter list, you need an agent with your logins, a machine and a model behind every item. That is the whole product.
FAQ

Common questions

What is an AI to-do list?
Usually a task app with AI features for entry, scheduling and prioritising. TODO for AI uses the term differently: a to-do list where each item is executed by an AI agent that has your tools, your machine and your logins.
Can it replace Todoist or Motion?
For personal reminders, not really, and you can keep both. For work tasks that end in an artefact, an email, a PR, a report, a published page, it replaces the part where you do them.
Is there a free AI to-do list?
Yes. You can try it without signing up, and the free Hobby plan gives $2 of usage a month. The cloud machine and browser need an account. Paid plans start at $20.
Does it work for a team?
That is what it is for. Invite your colleagues into a project and you share one board: items carry the people and the agent that worked them, and you can filter the board down to one person. Roles are read, write or owner; tool permissions are allow, ask-first or block per agent; and every seat pays into one pooled budget.
Can we run more than one AI?
Yes, as many as you have kinds of work. Each agent has its own model, instructions, tools, permissions and colour, and you choose which one takes an item. A cautious agent with approvals on the finance board, a fast one for triage, a coding one with a shell on your dev machine. They run in parallel.
Can we organise the whole company this way?
Yes: one project per part of the business, each with its own members, agent, brand voice and cards, all under one team and one bill. Engineering, marketing, support and finance end up on the same system instead of four tools that do not know about each other.
What if the agent gets it wrong?
Every item shows its log and artefacts before you accept. Send it back with a note, or set that tool to ask-first next time. Nothing ships without a result you can inspect.