TODO for AI
vs 
Lindy
By Marcell Havlik, founder of TODO for AI · Updated
No-code AI teammates for business workflows: email, CRM, meetings and support, built from triggers and steps. Here is where each one wins, with numbers, and who should pick which.
| Fact | Lindy | TODO for AI |
|---|---|---|
| Interface | Web builder | Web, desktop, mobile, CLI, IDE (Zed, JetBrains, VS Code), voice |
| Models | Most major models, you pick | Any provider: Claude, GPT, Gemini, Grok, Ollama |
| Source | Closed | Edge + CLI public |
| Starts at | $30/mo | Free |
Key takeaways
- Models. Lindy model choice: Most major models, 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. Lindy pricing: Plus $30 for 3,000 credits, Pro $100 for 15,000, Max $200 for 35,000, per user and pooled. Top-ups $10 per 1,000. 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. Lindy gets one task done by asking its assistant. 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 Lindy if your work is repeatable, well-defined business processes. Pick TODO for AI if you hand over goals, not pre-built workflows.
Lindy
Most major models, you pick
TODO for AI
Any providerWe are not competing for the same job
Lindy gets the task done.
TODO for AI organises the whole company’s work.
Lindy answers one question: how do I get this task done, by asking its assistant? So do the others — Cursor inside the editor, Claude Code in one person's session, 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 Lindy is, and where it stops
Lindy is the most business-shaped tool on this list, and the one that best understands that most company work is a process. You assemble an AI teammate from a trigger and a set of steps, wire it into mail, calendar, CRM and the support desk, and it runs. You pick the model per task, computer use is included, and the integration catalogue is deep. For a workflow with a known shape, nothing here gets you live faster.
That shape is also the boundary. Ad-hoc requests are supported, but the product is strongest where you have designed the steps in advance, and weakest on open-ended work that fits no workflow you built. Credits abstract away what a task really cost, and the conversion changes per plan. And because everything runs in Lindy's cloud, it never gets a shell on your machine, never touches a repo, and can only reach what the catalogue already covers.
Ops and go-to-market teams automating repeatable processes without writing code.
Three reasons Lindy users look elsewhere
You can ask its assistant for a one-off, but the product is built around workflows you design: triggers and steps, assembled before the work runs. Handing over an unfamiliar goal with no process behind it is a different shape of product.
Integrations and computer use cover the SaaS side, but there is no shell on your PC, no cloud VM of your own and no repo, so your build, deploy and data tooling stays out of reach.
Costs land in credits, not dollars, and the rate differs by plan: 100 per dollar on Plus, about 175 on Max. Comparing what a task cost means converting first.
Credits, workflows and Slack channels are shared, and ad-hoc tasks can be asked for directly. What is missing is the place that holds them: no one list of everything in flight across the company, and no item a colleague and an agent both own.
Six dimensions that decide it
Lindy 16/30TODO for AI 29/30How does Lindy compare to TODO for AI, feature by feature?
| Feature | Lindy | TODO for AI |
|---|---|---|
Persistent cloud VM An always-on machine. Files, logins and sessions survive between runs. | Their cloud | Yes |
Model choice | You pick | 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. | Computer use | Yes |
Business tasks, not only code SEO, email, ads, social, CRM via CLI tools. | Yes | Yes |
Any CLI as an integration | Catalogue + MCP | Any binary |
Voice control | Phone agents | 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. | Workflows and Slack | Yes |
Many agents, each configured Each agent gets its own model, prompt, tools and permissions. Pick which one takes an item. | Many, per workflow | Unlimited, per task |
Projects for the whole company Engineering, marketing, ops, finance: separate projects and agents, one team and one bill. | One workspace | Unlimited, shared |
Team roles, pooled usage | Per user, pooled | Roles + pooled |
Tool permissions | Per-agent scopes | Allow, approve, block |
Open runtime | No | Edge + CLI public |
Same ladder, different meter
Abstract credits: 100 per dollar at Plus, ~150 at Pro, ~175 at Max, so the same task costs different money on different plans. Top-ups are $10 per 1,000 and never expire.
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.