TODO for AI
vs
Lovable
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.
Lovable
TODO for AIWho should pick which
- You want a deployed web app from a description, today, without a developer
- Hosting, auth and a database out of the box matter more than control
- You are prototyping, not maintaining
- You have a repo already and need an agent that works in it
- You want the agent to also do the marketing, email and ops around the product
- You want to pick GPT, Claude or Gemini and have one review the other
- You want a persistent machine with your logins rather than a hosted app sandbox
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
What each one ships
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.