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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 from Figma-built libraries and Make working from your own files to turn 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.
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Side by side
- Summary
Figma's AI turns the design tool into a generator: First Draft produces editable screens from a prompt using Figma-built libraries, with generation on your own design system not yet available, 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.
The output is the point: not pictures of interfaces but real Figma files and structured code, editable by designers and usable by engineers. That keeps AI work inside the team's existing system rather than beside it.
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It accelerates drafts and mechanical revisions; finished production design still comes from designers refining what it starts.
- Best for
- Editable first-draft screens generated from Figma-built libraries
- Prompts to interactive prototypes without leaving Figma
- Design-to-code handoff as an engineering starting point
- Mechanical revisions executed by prompt
- AI that lands in real files, not flat mockups
- 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. An agent mode debugs and solves problems autonomously, visual edits adjust the interface by clicking, and the code syncs to GitHub so nothing is locked in.
It is the most non-technical-friendly of the serious app builders: founders and product people ship real products from plain English, then hand engineers a genuine codebase rather than a prototype to rebuild.
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The last stretch remains human: polish, hardening and production edge cases still need a developer's judgement.
- Best for
- Full-stack MVPs from plain-language descriptions
- Built-in database, auth, storage and payments
- Non-technical builders shipping real products
- Figma designs turned into live applications
- GitHub sync that hands engineers a real codebase
- 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.
Pricing
- Figma AI (Make / First Draft)
Free$16/user·$55/user·$90/user
Prices as of August 2026.
- Starter
- Free
- Professional
- $16per user, per monthbilled annually; $20 per user per month if billed monthly
- Organization
- $55per user, per monthbilled annually
- Enterprise
- $90per user, per monthbilled annually
- Lovable
Free·from $25·from $50·Custom
Prices as of August 2026.
- Free
- Free
- Pro
- from $25per monthbilled monthly; $21 per month if billed annually
- Business
- from $50per monthbilled monthly; $42 per month if billed annually
- Enterprise
- Price on applicationno list price published
By area
Where each one pulls ahead, area by area.
| Area | Figma AI (Make / First Draft) | Lovable |
|---|---|---|
| By job | ||
| Founders & entrepreneurs | Figma AI hands a real Figma file to the founder's eventual first designer to inherit, with the prototype's generated code available as their engineering starting point too | Lovable — when the MVP itself needs building before a design or engineering hire exists, sign-up, data and payments included |
| Product management | Figma Make stays inside the design environment and excels at fidelity to your designs | Lovable ships a real full-stack app |
| By task | ||
| Design, UI & prototyping | Figma AI generates a first-draft screen from a prompt on your own design system and hands the resulting front-end code to engineering as a starting point, all without leaving Figma | Lovable imports a Figma design and turns it into a live app that real users can click through, not a simulated hotspot demo |
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, though through Make rather than First Draft: Make grounds prototypes in your own files, while First Draft starts from Figma-built libraries because generation on your own design system is not yet available. That still 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.
Where do the designs and the code end up with each?
Figma's stay inside Figma: designs and prompts sit under its platform terms, with admin controls over the AI features on enterprise plans, and generated code leaves as a starting point rather than as a deliverable. Lovable's codebase syncs to a repository you own, which stays intact with its history whether or not you keep using Lovable. One keeps the artefact in the tool; the other hands it over.
How does the bill change as more people join?
In opposite directions. Figma charges per seat across its paid tiers, so every additional designer or editor is another line, and its AI allowances vary by tier rather than by person. Lovable prices by the credits a plan includes and takes unlimited workspace members on every plan, so adding a colleague changes nothing. Team size is a cost driver on one and not on the other.
What do Figma AI and Lovable both fail to deliver on their own?
Finished design. Figma's own framing is that its AI drafts and accelerates rather than finishes, and production quality still needs a designer's judgement on accessibility and craft. Lovable builds working products rather than design explorations, so anything that must look designed rather than default needs that pass regardless. Uizard is named alongside both for early concept work.
Who should skip Figma AI entirely and go straight to an app builder?
The founder who is not visual and has nobody who is. This guide's reading is that they move faster in the builders that skip design altogether, because a drafting tool only pays off when somebody can judge what it drafted. If the product needs to look designed and the design budget is currently zero, that is the case where Figma's AI earns its place instead.
Is there anything a Figma prototype leaves behind that a Lovable app does not?
A real Figma file. The work lands in the team's own files rather than in flat mockups, so a founder's eventual first designer inherits something they can open and continue, with the prototype's generated code available to engineering as a starting point too. A Lovable application hands over a codebase instead, which is a different inheritance for a different hire.
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Tool facts last checked August 2026