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Figma AI (Make / First Draft) vs Lovable
A plain-English comparison to help you choose between them.
Both turn descriptions into product interfaces; they part at the backend: Figma Make builds prototypes inside the design tool, Lovable builds working applications with database, auth and payments attached. Pick Figma AI when the team lives in Figma and fidelity to the design system is the requirement, First Draft laying out screens on your own components and Make turning them into clickable prototypes without a handoff. Pick Lovable when the artefact must function, an MVP real users can sign into and pay in, deployed from the conversation and synced to GitHub as a genuine codebase. The graduation path runs one way: prototypes that must persist data move to the full-stack builder, and rarely back.
Side by side
- Summary
Figma's AI turns the design tool into a generator: First Draft produces editable screens from a prompt on your own design system, Make converts designs and descriptions into interactive prototypes and working front-end code, and smaller assists handle content replacement, image cleanup and smart search across files.
- Best for
- Editable first-draft screens generated on your design system
- Prompts to interactive prototypes without leaving Figma
- Design-to-code handoff as an engineering starting point
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Hosted service
- Data
- Designs and prompts stay within Figma's platform terms, with admin controls on AI features for enterprise plans. Make output is a prototype starting point, not production code, so review before anything ships.
- Summary
Lovable turns descriptions into working full-stack web apps: a React front end, a built-in backend with database, auth and file storage, payments wired on request, and deployment from the same conversation.
- Best for
- Full-stack MVPs from plain-language descriptions
- Built-in database, auth, storage and payments
- Non-technical builders shipping real products
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Hosted service
- Data
- Projects can sync to your own GitHub and run on standard infrastructure like Supabase, which keeps ownership of the output with you. Treat generated apps to a security review before real user data touches them.
By area
Where each one pulls ahead, area by area.
| Area | Pick Figma AI (Make / First Draft) when | Pick Lovable when |
|---|---|---|
| Product management | Figma Make stays inside the design environment and excels at fidelity to your designs | the prototype needs a working backend |
Common questions
Which is friendlier to a non-technical founder?
Lovable, by its own design: it is the most non-technical-friendly of the serious app builders, shipping real products from plain English. Figma's generation leans on the structure you already have, since First Draft works on your design system and teams without one get less, which makes it a designer's accelerant more than a beginner's builder.
What warnings travel with polished output?
The same one, twice over: convincing output reads as nearly done. A Make prototype invites stakeholders to assume the product is almost shipped, so label it explicitly. A Lovable app is genuinely running, which is more seductive still, and its final stretch, polish, security hardening and production edge cases, needs a developer before real users and payments depend on it.
What are the pricing shapes?
Figma's AI is included with paid Figma plans, with usage allowances varying by tier, so for a design team it arrives inside a bill that already exists. Lovable sells monthly plans with usage credits, from a modest individual tier to team and enterprise plans, and complex builds consume credits at a rate worth watching before the invoice teaches the lesson.
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Tool facts last checked July 2026