TODO for AI
vs 
Zapier
By Marcell Havlik, founder of TODO for AI · Updated
The largest integration network, plus Agents you can chat with on a separate activity meter. Here is where each one wins, with numbers, and who should pick which.
| Fact | Zapier | TODO for AI |
|---|---|---|
| Interface | Web, Chrome extension | Web, desktop, mobile, CLI, IDE (Zed, JetBrains, VS Code), voice |
| Models | Vendor managed | Claude, GPT, Gemini, Grok and other supported models |
| Source | Closed | Edge + CLI public |
| Starts at | Free | Free |
Key takeaways
- Models. Zapier model choice: Vendor managed. 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. Zapier pricing: Free 100 tasks/month, Professional from $19.99, Team from $69 per month, Enterprise custom. Agents are billed apart: Free 400 activities/month, Pro $33.33/month billed $400 annually for 1,500. 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 Zapier if your work is event-driven: this happens, then that should happen. Pick TODO for AI if the work needs a shell, files, a repo or your logged-in browser.
Zapier
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 Zapier where it fits. Bring the rest of the company’s backlog here.
Plans and usage limitsWhat Zapier is, and where it stops
Zapier is the connective tissue of the SaaS world, and about 8,000 integrations is a moat nobody in this comparison is close to. If the job is "when a form is submitted, create the row, notify the channel, tag the contact", it is the correct tool and has been for a decade. Agents are the newer half: you configure one, connect its apps and knowledge, then chat with it on command or leave it running in the background.
What stays fixed is where the work happens. A Zap runs the path you wired, an Agent works through the connectors you attached, and neither ever gets a shell, a file system that persists or a session in your real Chrome. Pricing splits the same way: tasks are counted per successful action, agents draw on their own activity pool with its own plan, and the better both work the more they cost.
Connecting SaaS tools with reliable trigger-to-action plumbing.
Three reasons Zapier users look elsewhere
The Zap half needs a trigger and a path you built. Agents relax that, since you can just ask one, but the wiring is still where most of Zapier's value and reliability sits.
Zap tasks on one plan, agent activities on another at 400 free or 1,500 on Pro, and MCP calls at two tasks each. Forecasting the bill means forecasting how well the automation works.
Reach ends at what an integration exposes. No shell, no file system, no logged-in browser, so a tool without a good API is simply out of scope.
Six dimensions that decide it
Zapier 13/30TODO for AI 28/30How does Zapier compare to TODO for AI, feature by feature?
| Feature | Zapier | TODO for AI |
|---|---|---|
Persistent cloud VM A hosted workspace with persistent files, separate from the machines you connect. | No | Yes |
Model choice | Vendor managed | 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. | Agent browsing only | Yes |
Business tasks, not only code SEO, email, ads, social, CRM via CLI tools. | Whatever a connector exposes | Yes |
Any CLI as an integration | MCP, 2 tasks per call | 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. | Agents, separate plan | Configured per task |
Projects for the whole company Engineering, marketing, ops, finance: separate projects and agents, one team and one bill. | Folders of Zaps | 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. | Seats + task tiers | Shared credits, per-seat limits |
Tool permissions | Basic | Allow, approve, block |
Open runtime | No | Edge + CLI public |
Same ladder, different meter
Two meters. Zaps count a task per successful action, on tiers from 100 to 2M a month; AI steps, code and MCP draw on the same pool, and one MCP tool call costs two tasks. Agents run on their own activity allowance, 400 free or 1,500 on Pro.
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.