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 | Claude, GPT, Gemini, Grok and other supported models |
| Source | Closed | Edge + CLI public |
| Starts at | $25/mo | Free |
Key takeaways
- Models. Lovable model choice: Vendor-selected. 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. 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 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 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
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 Lovable where it fits. Bring the rest of the company’s backlog here.
Plans and usage limitsWhat 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 28/30How does Lovable compare to TODO for AI, feature by feature?
| Feature | Lovable | TODO for AI |
|---|---|---|
Persistent cloud VM A hosted workspace with persistent files, separate from the machines you connect. | Hosted app only | Yes |
Model choice | Vendor 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. | 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. Runs remain subject to usage limits. | One builder | Configured 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 and usage Pooling is not exclusive to TODO for AI. A shared budget does not remove personal session or weekly limits. | Workspace roles | Shared credits, per-seat limits |
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 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.