TODO for AI
vs 
Lovable
By Marcell Havlik, founder of TODO for AI · Updated
A prompt-to-app builder: describe a web app, get a hosted React front end with a built-in backend, edited by chat. Here is where each one wins, with numbers, and who should pick which.
| Fact | Lovable | TODO for AI |
|---|---|---|
| Interface | Web builder | Web, desktop, mobile, CLI, IDE (Zed, JetBrains, VS Code), voice |
| Models | Vendor-selected | Any provider: Claude, GPT, Gemini, Grok, Ollama |
| Source | Closed | Edge + CLI public |
| Starts at | $25/mo | Free |
Key takeaways
- Models. Lovable model choice: Vendor-selected. 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. Lovable pricing: Free 5 credits a day (30 a month). Pro $25 for 100 credits, Business $50 for 100, larger credit tiers scale to 10,000. Enterprise custom. 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. Lovable gets one task done inside the app it generates. 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 Lovable if you want a deployed web app from a description, today, without a developer. Pick TODO for AI if you have a repo already and need an agent that works in it.
Lovable
TODO for AI
Any providerWe are not competing for the same job
Lovable gets the task done.
TODO for AI organises the whole company’s work.
Lovable answers one question: how do I get this task done, inside the app it generates? So do the others — Cursor inside the editor, Claude Code in one person's session, Lindy by asking its assistant.
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 Lovable is, and where it stops
Lovable is the tool that made "vibe coding" a category. You type what you want, it returns a running React app with a backend, auth and a database already wired in, and you keep chatting until it looks right. For a founder validating an idea or a designer who wants a real prototype rather than a mockup, the first hour is genuinely remarkable, and two-way GitHub sync means the result is real code you can take elsewhere.
The boundary is the app. Lovable works on projects it created, in its own cloud, with a model it chose. It cannot open an existing repository, run your test suite, drive your browser or send an email. And because each message is a credit, the iteration loop that makes it fun is also the meter: a bug that takes six tries to fix costs six credits.
Non-developers and product people who want a working web app prototype without writing code.
Three reasons Lovable users look elsewhere
A codebase that did not start as a Lovable project has no way in. Once the prototype outgrows the builder, the work moves to a different tool.
Every prompt that touches the app is a credit whether it helped or not. A rough afternoon of debugging on Pro can spend a week of the plan.
No terminal, no browser automation, no email or CRM. The launch email, the SEO page and the ad account are somebody else's job.
Six dimensions that decide it
Lovable 11/30TODO for AI 29/30How does Lovable compare to TODO for AI, feature by feature?
| Feature | Lovable | TODO for AI |
|---|---|---|
Persistent cloud VM An always-on machine. Files, logins and sessions survive between runs. | Hosted app only | Yes |
Model choice | Vendor 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. | No | Yes |
Business tasks, not only code SEO, email, ads, social, CRM via CLI tools. | No | Yes |
Any CLI as an integration | No | 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. | The app, not the work | Yes |
Many agents, each configured Each agent gets its own model, prompt, tools and permissions. Pick which one takes an item. | One builder | Unlimited, per task |
Projects for the whole company Engineering, marketing, ops, finance: separate projects and agents, one team and one bill. | Per app | Unlimited, shared |
Team roles, pooled usage | Workspace roles | Roles + pooled |
Tool permissions | Per-member credit limits | Allow, approve, block |
Open runtime | GitHub sync | Edge + CLI public |
Same ladder, different meter
One credit per chat message that edits the app, plus a monthly Cloud and AI grant. Business charges double per credit for the team controls. Top-ups $15 per 50 on Pro, $30 on Business, and unused credits roll over while you stay subscribed.
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.