TODO for AI
vs 
Airtable
By Marcell Havlik, founder of TODO for AI · Updated
Database-shaped workspace whose Omni agents build apps and act on records, metered in AI credits. Here is where each one wins, with numbers, and who should pick which.
| Fact | Airtable | TODO for AI |
|---|---|---|
| Interface | Web, desktop, mobile | 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. Airtable 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. Airtable pricing: Free, Team $20, Business $45 per seat per month billed annually, Enterprise Scale custom. AI credits are pooled: 15,000 per billable collaborator on Team, 20,000 on Business; extra packs from $20 for 10,000. 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 Airtable if your work is naturally records, tables and fields. Pick TODO for AI if you do not want to model the work before doing it.
Airtable
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 Airtable where it fits. Bring the rest of the company’s backlog here.
Plans and usage limitsWhat Airtable is, and where it stops
Airtable made the smartest structural bet in this category: agents work far better against typed records than against a wall of documents, and Omni turns a description into a working internal app or agent over that data. Building costs nothing, credits pool across the workspace rather than stranding per seat, and for record-shaped work it delivers.
The cost is the modelling. Work has to become a base, tables and fields before an agent can touch it, which is real effort for anything that is not naturally tabular. Business seats are $45, well above the other work platforms in this list, and running agents draws on a credit pool that a document-heavy month empties quickly at roughly 200 credits per ten-page analysis.
Teams whose work is structured records and who want internal apps and agents on top of them.
Three reasons Airtable users look elsewhere
An agent acts on records, so the work first has to be a base with the right tables and fields. Tasks that are not tabular never get there.
$45 per seat on Business, against $19 on monday Pro and $10 on Trello Premium, plus a credit pool that stops the agents when it empties. Extra packs start at $20 for 10,000.
No shell, no machine, no session in your Chrome. Reach ends at records and connected integrations.
Six dimensions that decide it
Airtable 13/30TODO for AI 28/30How does Airtable compare to TODO for AI, feature by feature?
| Feature | Airtable | 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. | No | Yes |
Business tasks, not only code SEO, email, ads, social, CRM via CLI tools. | Records + connected apps | Yes |
Any CLI as an integration | Scripting extension + MCP | 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. | Yes, agents on bases | Yes |
Many agents, each configured Each agent gets its own model, prompt, tools and permissions. Runs remain subject to usage limits. | Omni agents and apps | Configured per task |
Projects for the whole company Engineering, marketing, ops, finance: separate projects and agents, one team and one bill. | Bases and workspaces | 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. | Seat + pooled credits | Shared credits, per-seat limits |
Tool permissions | Base and field level | Allow, approve, block |
Open runtime | No | Edge + CLI public |
Same ladder, different meter
Seats plus a pooled AI credit allowance, 15,000 per collaborator on Team and 20,000 on Business. Building with Omni is free; running costs credits that scale with input, model and output, roughly 10 for a question and 200 for a 10-page document. Work stops when the pool empties.
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.