TODO for AI
vs
ClickUp
By Marcell Havlik, founder of TODO for AI · Updated
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.
| Fact | ClickUp | TODO for AI |
|---|---|---|
| Interface | Web, desktop, mobile | Web, desktop, mobile, CLI, IDE (Zed, JetBrains, VS Code), voice |
| Models | ClickUp Max, Claude, GPT, Gemini, you pick | Any provider: Claude, GPT, Gemini, Grok, Ollama |
| Source | Closed | Edge + CLI public |
| Starts at | Free | Free |
Key takeaways
- Models. ClickUp model choice: ClickUp Max, Claude, GPT, Gemini, you pick. TODO for AI runs any provider, Claude, GPT, Gemini, Grok or a local Ollama model, on one plan, and one model can review another's work.
- Benchmark. TODO for AI scored 89.9% on Terminal-Bench 2.1 with Opus 5.5 (high) (own harness, 80/89 tasks, 2026-10-08; not an official leaderboard submission).
- Price. ClickUp pricing: Business $12 per user billed yearly or $19 monthly. Brain AI adds $9 yearly or $18 monthly per user, Everything AI $28 yearly or $68 monthly, plus AI Super Credits at $10 per 10,000. TODO for AI has a free plan (Claude Sonnet only), then Starter $20, Pro $100 or Ultra $200 a month with any provider included.
- Where the work happens. ClickUp gets one task done inside the workspace. TODO for AI is one board your team and agents work through together, on your own PC, a cloud VM and your logged-in Chrome.
- Who should pick which. Pick ClickUp if ClickUp is already your team's home for tasks, docs and chat. Pick TODO for AI if the tasks need a shell, a repo or a deploy.
TODO for AIWe 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 to $28 yearly ($18 to $68 monthly), 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
How does ClickUp compare to TODO for AI, feature by feature?
| Feature | ||
|---|---|---|
Persistent cloud VM An always-on machine. Files, logins and sessions survive between runs. | No | Yes |
Model choice | Max, Claude, GPT, Gemini | Any provider |
Cross-vendor review Review GPT output with Claude, or the other way around. | No | Yes |
Drives your real browser Browser extension (Chrome, Firefox) plus cloud browsers. | No | Yes |
Business tasks, not only code SEO, email, ads, social, CRM via CLI tools. | Workspace + connected tools | Yes |
Any CLI as an integration | MCP both ways | Any binary |
Voice control | Brain MAX talk-to-text | Yes |
People and agents on one board Colleagues and agents work the same list. Items show who contributed and which agent ran them; filter the board by person. | Yes, agents are assignable | Yes |
Many agents, each configured Each agent gets its own model, prompt, tools and permissions. Pick which one takes an item. | Super + Autopilot Agents | Unlimited, per task |
Projects for the whole company Engineering, marketing, ops, finance: separate projects and agents, one team and one bill. | Spaces and Lists | Unlimited, shared |
Team roles, pooled usage | Seat + AI seat + credits | Roles + pooled |
Tool permissions | Workspace roles | Allow, approve, block |
Open runtime | No | Edge + CLI public |
Same 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.