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 | Claude, GPT, Gemini, Grok and other supported models |
| Source | Closed | Edge + CLI public |
| Starts at | $30/mo | Free |
Key takeaways
- Models. Lindy model choice: Most major models, you pick. 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).
- 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 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 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
Supported vendorsWhere 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 Lindy where it fits. Bring the rest of the company’s backlog here.
Plans and usage limitsWhat 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 28/30How does Lindy compare to TODO for AI, feature by feature?
| Feature | Lindy | TODO for AI |
|---|---|---|
Persistent cloud VM A hosted workspace with persistent files, separate from the machines you connect. | Their cloud | Yes |
Model choice | You pick | 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. | 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. Runs remain subject to usage limits. | Many, per workflow | Configured 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 and usage Pooling is not exclusive to TODO for AI. A shared budget does not remove personal session or weekly limits. | Per user, pooled | Shared credits, per-seat limits |
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 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.