TODO for AI
vs 
Gumloop
By Marcell Havlik, founder of TODO for AI · Updated
AI-native automation for business teams: chat-driven agents plus flows, priced in credits. Here is where each one wins, with numbers, and who should pick which.
| Fact | Gumloop | TODO for AI |
|---|---|---|
| Interface | Web, Chrome extension | Web, desktop, mobile, CLI, IDE (Zed, JetBrains, VS Code), voice |
| Models | Vendor managed, several available | Claude, GPT, Gemini, Grok and other supported models |
| Source | Closed | Edge + CLI public |
| Starts at | $37/mo | Free |
Key takeaways
- Models. Gumloop model choice: Vendor managed, several available. 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. Gumloop pricing: No free plan, a 14-day Pro trial. Pro from $37 a month with 20,000 credits and an 8% orchestration fee, Enterprise custom. 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 Gumloop if your automations are mostly AI steps: scrape, summarise, classify, write. Pick TODO for AI if the task needs a shell, a repo, a deploy or your logged-in browser.
Gumloop
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 Gumloop where it fits. Bring the rest of the company’s backlog here.
Plans and usage limitsWhat Gumloop is, and where it stops
Gumloop is what an automation tool looks like when AI was the premise instead of an afterthought. It is agents-first now: you delegate in chat, Slack, Teams, Gmail or by voice, and the flow canvas sits underneath for the pipelines worth building explicitly. The nodes are scrape, summarise, classify and write rather than trigger and action, which makes marketing research and enrichment far less awkward than in Zapier or Make.
Where it stops is reach. Agents work through connected apps and the web, so there is no shell, no files that survive between runs and no session in your own logged-in Chrome. Pricing is the steepest entry in this category at $37 a month for 20,000 credits, with an 8% orchestration fee layered on top.
Marketing and ops teams automating AI-heavy research, enrichment and content pipelines.
Three reasons Gumloop users look elsewhere
Agents reach what Gumloop integrates with and what they can scrape. A tool without an integration, or one that needs a real logged-in session, is out of scope.
20,000 credits from $37 a month, with an 8% orchestration fee layered on top. Successful automation costs more than failed automation.
Everything runs in Gumloop's cloud. No shell, no persistent machine holding your files and logins, no browser of your own.
Six dimensions that decide it
Gumloop 14/30TODO for AI 28/30How does Gumloop compare to TODO for AI, feature by feature?
| Feature | Gumloop | TODO for AI |
|---|---|---|
Persistent cloud VM A hosted workspace with persistent files, separate from the machines you connect. | No | Yes |
Model choice | Vendor managed, several | 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. | Extension trigger + scraping | Yes |
Business tasks, not only code SEO, email, ads, social, CRM via CLI tools. | Connected apps + web | Yes |
Any CLI as an integration | MCP | Any binary |
Voice control | Talk to 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. | No | Yes |
Many agents, each configured Each agent gets its own model, prompt, tools and permissions. Runs remain subject to usage limits. | Chat-driven agents + flows | Configured per task |
Projects for the whole company Engineering, marketing, ops, finance: separate projects and agents, one team and one bill. | Flows 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. | Seats + credits + 8% fee | Shared credits, per-seat limits |
Tool permissions | Basic | Allow, approve, block |
Open runtime | No | Edge + CLI public |
Same ladder, different meter
Credits per run, plus an 8% orchestration fee on Pro. Model calls are included in the credit cost rather than billed to your own key.
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.