TODO for AI
vs 
Claude Code
By Marcell Havlik, founder of TODO for AI · Updated
Anthropic's coding agent, tied to Claude models and Claude subscription tiers. Here is where each one wins, with numbers, and who should pick which.
| Fact | Claude Code | TODO for AI |
|---|---|---|
| Interface | Terminal, IDE, desktop app, web | Web, desktop, mobile, CLI, IDE (Zed, JetBrains, VS Code), voice |
| Models | Anthropic only | Any provider: Claude, GPT, Gemini, Grok, Ollama |
| Source | Closed | Edge + CLI public |
| Starts at | $20/mo | Free |
Key takeaways
- Models. Claude Code model choice: Anthropic only. 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). Claude Code is listed at 87.6% with Opus 5.5 (high) on the public leaderboard.
- Price. Claude Code pricing: Pro $20, Max $100 or $200. Usage windows, overage at API rates. 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. Claude Code gets one task done in one person's session. 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 Claude Code if you only ever want Anthropic models. Pick TODO for AI if you want GPT, Claude and Gemini side by side and let them review each other.
Claude Code
Anthropic only
TODO for AI
Any providerWe are not competing for the same job
Claude Code gets the task done.
TODO for AI organises the whole company’s work.
Claude Code answers one question: how do I get this task done, in one person's session? So do the others — Cursor inside the editor, Lindy by asking its assistant, Manus mostly in their own cloud.
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 Claude Code is, and where it stops
Claude Code is the tool most developers mean when they say "coding agent" in 2026. It reads the repo, edits files, runs tests and opens pull requests, and on Opus it produces some of the cleanest code of any agent. It is no longer terminal-only: there are IDE extensions, a desktop app, claude.ai/code in the browser, and routines that run scheduled sessions on Anthropic's infrastructure while your machine is off.
The repo is still the unit of work. It only speaks to Anthropic models, a cloud session clones GitHub repositories into an allow-listed network and pushes to claude/ branches, and everything outside a codebase is out of scope. If your day is more than code, or you want a second model to check the first one, you end up stitching tools together yourself.
Developers whose work lives in a repo and who are all-in on Anthropic models.
Three reasons Claude Code users look elsewhere
Every plan, every review, every fix comes from the same model family. There is no way to have GPT read what Claude wrote before it lands.
Routines run in the cloud, but around GitHub repositories, an allow-listed network and claude/ branches. Work that is an inbox, an ad account or a CMS has nothing to hang on.
Inbox, CRM and ad work happens through MCP connectors you install one at a time, or Claude in Chrome while you sit there. It works; it is not what the product is shaped around.
Subagents and CLAUDE.md check into the repo, so configuration travels with the team. The work does not: sessions belong to the person who started them, resumable by them alone, so there is no list your colleagues can look at to see what is already running or who is on it.
Six dimensions that decide it
Claude Code 13/30TODO for AI 29/30TODO for AI · Opus 5.5 (high)89.9%Claude Code · Opus 5.5 (high)87.6%Same 89-task set, one trial each. Ours excludes the tasks the model refused on safety grounds (neither pass nor fail); theirs is their public leaderboard entry. Different model too, so treat it as indicative, not a controlled A/B.
How does Claude Code compare to TODO for AI, feature by feature?
| Feature | Claude Code | TODO for AI |
|---|---|---|
Persistent cloud VM An always-on machine. Files, logins and sessions survive between runs. | No | Yes |
Model choice | Anthropic only | 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. | Yes | Yes |
Business tasks, not only code SEO, email, ads, social, CRM via CLI tools. | Via MCP and Claude in Chrome | Yes |
Any CLI as an integration | Shell + MCP + hooks | Any binary |
Voice control | No | 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. | No | Yes |
Many agents, each configured Each agent gets its own model, prompt, tools and permissions. Pick which one takes an item. | Subagents, repo config | Unlimited, per task |
Projects for the whole company Engineering, marketing, ops, finance: separate projects and agents, one team and one bill. | Repo folders | Unlimited, shared |
Team roles, pooled usage | Per seat | Roles + pooled |
Tool permissions | Allow lists | Allow, approve, block |
Open runtime | No | Edge + CLI public |
Same ladder, different meter
Rolling 5-hour windows plus a weekly cap. Paid plans can continue at API rates once the window is spent.
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.