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 | Claude, GPT, Gemini, Grok and other supported models |
| Source | Closed | Edge + CLI public |
| Starts at | $20/mo | Free |
Key takeaways
- Models. Claude Code model choice: Anthropic only. TODO for AI includes Claude, GPT, Gemini and Grok on paid plans. Pick the model for each job; let another review the result.
- Benchmark. TODO for AI scored 91.0% on Terminal-Bench 2.1 with Opus 5.5 (high) (own harness, 81/89 tasks, 2026-10-26; 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 the supported multi-vendor catalog.
- Shared business work. TODO for AI: Your whole team and its AI agents, on one board. Shared company context, brand voice and memory. AI working in your connected tools, signed-in browser and machines.
- Included usage. One shared pool of credits, with the cloud VM and browser included. Personal session and weekly limits apply. Credit usage depends on the model; see the pricing page for plan details.
- 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.
TODO for AIWhere our product fits
One board for the company’s work.
People decide. Agents do the work.
Your whole team and its AI agents, on one board. Shared company context, brand voice and memory. AI working in your connected tools, signed-in browser and machines.
Chase the invoice. Ship the website update. Prepare the report. Fix the code. Every task keeps its request, contributors and result together, ready for the next colleague or agent to pick up.
Keep Claude Code where it fits. Bring the rest of the company’s backlog here.
Plans and usage limitsWhat 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
Same 89 tasks, same model (Opus 5.5, high), one trial each, all runs done by us; refusals fall back to Opus 4.8, remaining refusals count as failures. Noise is about ±3 tasks, so treat it as indicative, not a controlled A/B or a leaderboard result.
How does Claude Code compare to TODO for AI, feature by feature?
| Feature | ||
|---|---|---|
Persistent cloud VM A hosted workspace with persistent files, separate from the machines you connect. | No | Yes |
Model choice | Anthropic only | Supported models across vendors |
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. Runs remain subject to usage limits. | Subagents, repo config | Configured 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 and usage Pooling is not exclusive to TODO for AI. A shared budget does not remove personal session or weekly limits. | Plan dependent | Shared credits, per-seat limits |
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 shared pool of credits, with the cloud VM and browser included. Personal session and weekly limits apply. Credit usage depends on the model; see the pricing page for plan details.