TODO for AI
vs 
ClickUp
All-in-one work platform whose Super Agents can be @mentioned and assigned tasks like teammates. Here is where each one wins, with numbers, and who should pick which.
ClickUp
ClickUp Max, Claude, GPT, Gemini, you pick
TODO for AI
Every providerWho should pick which
- ClickUp is already your team's home for tasks, docs and chat
- The work is coordination, reporting and updates rather than execution on systems
- You want agents inside the tool everyone already opens
- The tasks need a shell, a repo or a deploy
- You want the agent logged into your tools as you, not through a connector
- You want one flat price instead of seat plus AI seat plus credits
- You want the same board for engineering and business work
We are not competing for the same job
ClickUp gets the task done.
TODO for AI organises the whole company’s work.
ClickUp answers one question: how do I get this task done, inside the workspace? So do the others — Cursor inside the editor, Claude Code in one person's session, Lindy by asking its assistant.
We answer a different one: where does the work live? One board per project, and a project for each part of the company — engineering, marketing, ops, finance, one per client. Your colleagues work on it. So do your agents, as many as you want to run, each with its own model, tools and permissions. 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 instead of a Slack thread.
That is not a team plan bolted onto an AI tool. It is the product. The agents are how items get closed; the board is what the company runs on.
What ClickUp is, and where it stops
ClickUp went further than most work platforms: Super Agents are addressable like people. You @mention one in a comment, assign it a task, put it on a schedule, and it works with the same objects your team does. You can choose the model or let Brain route between Claude, GPT and Gemini, and MCP works in both directions so an outside agent can drive the workspace.
It is still workspace-bound. The agent operates on tasks, docs and connected tools through a skills catalogue; it never gets a command line, a machine, or your browser session. And the money stacks: a workspace seat, then an AI seat at $9 or $28, then Super Credits when the agents are busy.
Teams already running ClickUp who want agents inside their existing boards.
Three reasons ClickUp users look elsewhere
Agents do what the skills catalogue covers on workspace objects and connected tools. An open-ended task that needs a script written and run has nowhere to go.
Workspace seat, AI seat, then AI Super Credits. Predicting next month means predicting how much the agents worked.
No shell on your laptop, no cloud VM, no session in your Chrome. Everything happens inside ClickUp or through a connector.
Six dimensions that decide it
ClickUp 18/30TODO for AI 29/30What each one ships
ClickUpTODO for AISame ladder, different meter
Workspace seat plus an AI seat, then AI Super Credits at $0.001 each. Brain AI includes 1,500 credits per user per month, Everything AI 5,000.
One pool priced in dollars of model cost, spendable on any vendor. Session and weekly windows pace it, and a 1.3-1.5x plan multiplier applies, so a $20 plan is about $15 of list-price API. Team seat prices go into one shared pool.