De 10 beste AI-verktøyene for prototyping i 2026

Anmeldelser av AI-prototypingverktøy

1. 

   1

   Miro

   Best for multi-user whiteboarding sessions

   • Free plan + 14-day free trial available
   • From $8/user/month (billed annually)

   Visit Website

   Customer Rating:4.8/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Miro helps product, design, and cross-functional teams turn early ideas into visual plans, wireframes, and AI-generated prototypes in one shared workspace. Its infinite canvas, ready-made templates, and collaborative feedback tools make it useful for teams that need to brainstorm, map workflows, and validate product concepts before moving into full design or development.

   Who Is Miro Best For?

   Miro is a strong fit for product and design teams at mid-size to enterprise companies that need a shared space for cross-functional collaboration and prototyping.

   Why I Picked Miro

   I picked Miro because it helps product and design teams move from brainstorming to AI-generated prototypes without leaving the same shared canvas. Your team can add sticky notes, sketches, screenshots, and prototype screens in one workspace, which makes it easier to turn early ideas into testable product flows. I like how its real-time collaboration features, including live cursors, comments, and voting, support group prototyping sessions where everyone can give input quickly. Miro’s AI prototyping tools also help you generate and revise screens from prompts or board content, making it a good fit for teams that need to explore concepts before handing work off to design or development.

   Miro Key Features

   Some other features in Miro support faster prototype creation, testing, and design handoff:

   • AI prototype generation: Create multi-screen prototypes from a text prompt, screenshot, URL, or existing board content.
   • Interactive preview mode: Share clickable prototype previews so stakeholders can review flows without editing the main canvas.
   • Prototyping component library: Build screens faster with pre-built UI components, including navigation bars, dialogs, calendars, and light or dark variants.
   • Figma export: Copy completed Miro prototypes into Figma as SVGs while preserving the prototype’s layout structure.

   Miro Integrations

   Integrations include Jira, Confluence, Figma, Slack, Google Drive, Notion, Microsoft Teams, Zoom, Asana, and Azure DevOps.

   Pros and Cons

   Pros:

   • Generates prototypes from prompts, screenshots, and board content
   • Shared canvas supports live feedback during prototyping sessions
   • Component library helps teams build clickable flows faster

   Cons:

   • Advanced AI prototyping requires the Prototypes add-on
   • Not built for production-ready code generation workflows
   Learn more about Miro:

   • Check out Miro on their website
   • Read my in-depth review of Miro
   • Explore best alternatives to Miro
2. 

   2

   Alloy

   Best for prototyping using your live codebase

   • Free plan + free demo available
   • From $20/user/month

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   Alloy is an AI-powered prototyping platform that lets you build, modify, and test interactive product prototypes directly on top of your actual codebase using conversational prompts.

   Who Is Alloy Best For?

   Product and UX teams at software companies who need to prototype directly with their existing application’s codebase.

   Why I Picked Alloy

   I picked Alloy as one of the best because I can prompt changes right inside my product’s live codebase and instantly generate interactive prototypes. My team is able to use our actual components and flows, not disconnected mockups, when prototyping new features.

   Alloy Key Features

   • Conversational AI editing: Make real-time design edits using text or voice prompts.
   • Slack integration: Start or update prototypes directly from team Slack threads.
   • Figma export: Export generated prototypes to Figma for further design work.
   • Skills library: Save custom AI instructions as reusable actions for repetitive prototyping tasks.

   Alloy Integrations

   Alloy offers native integration with GitHub, Jira, Notion, Dovetail, Asana, Figma, ClickUp, Trello, Slack, and more. It also provides an API for custom integrations.

   Pros and Cons

   Pros:

   • Allows real-time editing with voice or text
   • Generates interactive, production-grade UI flows
   • Uses your live codebase for prototyping

   Cons:

   • Not suited for legacy or non-React stacks
   • Limited value for new, code-free prototypes
   Learn more about Alloy:

   • Check out Alloy on their website
3. 

   3

   MockFlow

   Best for AI-generated multi-screen wireframe flows

   • Free plan available
   • From $9/user/month (billed annually)

   Visit Website

   Customer Rating:4.3/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   MockFlow is a wireframing and prototyping tool that uses AI to generate multi-screen user flows, sitemaps, and low-fidelity mockups from text prompts.

   Who Is MockFlow Best For?

   MockFlow is a strong fit for UX designers and product teams who need to quickly generate multi-screen wireframe flows without building each screen from scratch.

   Why I Picked MockFlow

   MockFlow earns its spot on my shortlist because of how it handles multi-screen flow generation from a single text prompt. Instead of building screens one by one, I can describe a user journey and get a connected wireframe flow with navigation logic already mapped. The AI sitemap generator also gives me a structural starting point before any screen-level design begins.

   MockFlow Key Features

   • Component library: Access a built-in set of pre-made UI elements to drag and drop into wireframes without designing from scratch.
   • Real-time collaboration: Invite team members to edit and comment on wireframes simultaneously within a shared workspace.
   • Interactive prototyping: Link screens together with clickable hotspots to simulate user navigation flows for stakeholder review.
   • Wireframe-to-specification export: Generate design specification documents directly from wireframes to hand off to developers.

   MockFlow Integrations

   MockFlow offers integrations with Slack, Microsoft Teams, Google Meet, Jira, Confluence, Trello, Google Drive, Google Docs, Microsoft 365, VS Code, Figma, Claude, and Cursor, plus API access for custom integrations.

   Pros and Cons

   Pros:

   • Clickable hotspots support stakeholder walkthroughs
   • AI sitemap clarifies product structure early
   • Generates connected multi-screen flows from prompts

   Cons:

   • Generated flows still need manual refinement
   • Low-fidelity output limits visual design exploration
   Learn more about MockFlow:

   • Check out MockFlow on their website
4. 

   4

   Anima

   Best for Figma-to-code with two-way sync

   • Free plan available
   • From $20/user/month (billed annually)

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   Customer Rating:4.2/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Anima is an AI prototyping tool that converts Figma designs into production-ready code, offering interactive prototyping, design-to-code generation, and two-way sync between design and development environments.

   Who Is Anima Best For?

   Anima is a strong fit for product teams and designers who work in Figma and need to hand off production-ready code to developers without losing design fidelity.

   Why I Picked Anima

   Anima earns its spot on my shortlist because of how cleanly it handles the gap between Figma designs and production code. I love that its two-way sync means design changes in Figma automatically reflect in the generated code, so developers aren't chasing outdated specs. The AI-powered code generation produces React, HTML, and CSS that's actually usable, not throwaway scaffolding.

   Anima Key Features

   • Interactive prototype builder: Create clickable, animated prototypes directly from your Figma designs without writing any code.
   • Multi-framework code export: Export designs as React, HTML, or CSS code that developers can drop into existing projects.
   • Component-level code inspection: Developers can inspect individual design components to view and copy the generated code for specific elements.
   • Figma plugin integration: Run Anima directly inside Figma so you can generate prototypes and code without switching between tools.

   Anima Integrations

   Anima offers a native Figma plugin integration for creating prototypes and generating code within Figma.

   Pros and Cons

   Pros:

   • Clickable prototypes from Figma designs
   • React, HTML, and CSS exports
   • Two-way sync keeps generated code current

   Cons:

   • Figma-centered workflow limits non-Figma teams
   • Generated code may need developer cleanup
   Learn more about Anima:

   • Check out Anima on their website
   • Read my in-depth review of Anima
5. 

   5

   Cursor

   Best for code-based design iteration

   • Free plan available
   • From $20/month

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   Customer Rating:5/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Cursor is an AI-powered code editor that lets you build and iterate on UI prototypes directly in code, using natural language prompts, an AI chat interface, and context-aware code generation.

   Who Is Cursor Best For?

   Cursor is a strong fit for product managers and developers who prototype directly in code and need AI-assisted iteration without switching between design and engineering tools.

   Why I Picked Cursor

   I picked Cursor as one of the best because it lets you prototype directly in a real codebase rather than faking it in a design tool. I love how its AI chat understands your project's full context, so when you say "make this sidebar collapsible," it generates code that actually fits your existing component structure. Its Composer feature lets you make sweeping, multi-file edits in one prompt, which means you can iterate on a live UI prototype without the usual back-and-forth between design and dev.

   Cursor Key Features

   • Inline code autocomplete: Cursor predicts and suggests your next line or block of code as you type, based on the surrounding context.
   • @-symbol context referencing: You can tag specific files, docs, or web URLs directly in a prompt to give the AI precise context for generating prototype code.
   • Terminal integration: A built-in terminal lets you run, test, and debug your prototype without leaving the editor.
   • Multi-model AI support: Cursor lets you switch between leading AI models—including Claude and GPT-4o—depending on the task at hand.

   Cursor Integrations

   Native integrations are not clearly documented.

   Pros and Cons

   Pros:

   • Multi-file changes accelerate interface iteration
   • Context-aware edits fit existing component structures
   • Prototypes run directly in real codebases

   Cons:

   • Generated changes still require technical review
   • Requires comfort working directly in code
   Learn more about Cursor:

   • Check out Cursor on their website
6. 

   6

   UX Pilot

   Best for reference-based prototype generation

   • Free plan available
   • From $14/month

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   UX Pilot is an AI-powered prototyping tool designed for UX professionals and product teams who want to accelerate early-stage design. It appeals to those who need to generate prototypes based on existing references or design inspiration. The platform helps teams quickly visualize ideas and iterate on concepts without starting from scratch.

   Who Is UX Pilot Best For?

   UX Pilot is a strong fit for UX designers and product teams at digital agencies or startups who want to generate prototypes using reference designs.

   Why I Picked UX Pilot

   What drew me to UX Pilot is its ability to generate prototypes directly from reference designs, which is especially valuable for teams that want to build on proven patterns or competitor examples. The tool lets you upload screenshots or URLs of existing products, then uses AI to create editable prototypes that mirror those references. 

   I find this approach useful for quickly iterating on familiar layouts or benchmarking against industry standards. For anyone who needs to translate inspiration into actionable prototypes without manual recreation, UX Pilot’s reference-based workflow is a clear advantage.

   UX Pilot Key Features

   Some other features that make UX Pilot stand out for AI prototyping include:

   • AI-powered wireframe generation: Instantly create wireframes from text prompts describing your product or feature ideas. 
   • Multi-screen prototype support: Build and organize entire user flows with multiple connected screens in a single project. 
   • Component library: Access a built-in library of reusable UI components to speed up prototyping. 
   • Figma export: Export your prototypes directly to Figma for further design refinement or developer handoff.

   UX Pilot Integrations

   Integrations include Figma and GitHub.

   Pros and Cons

   Pros:

   • Easy to prompt variations
   • Good for UI brainstorming
   • Fast AI wireframe creation

   Cons:

   • No direct dev code exports
   • Requires good reference art
   Learn more about UX Pilot:

   • Check out UX Pilot on their website
7. 

   7

   Bolt

   Best for handling large-scale, complex projects

   • Free plan available
   • From $18/month (billed annually)

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   Bolt offers an AI-driven platform for teams managing complex product or project workflows. It’s designed for organizations that need to coordinate large-scale initiatives with multiple stakeholders and moving parts. Bolt helps users automate planning, visualize dependencies, and keep projects on track as they scale.

   Who Is Bolt Best For?

   Bolt is well suited for project managers and operations leads at mid-sized to large organizations running complex, multi-team projects.

   Why I Picked Bolt

   What drew me to Bolt is how it addresses the unique demands of large-scale, complex projects in AI prototyping. The platform’s AI-powered planning engine helps break down massive initiatives into manageable tasks, automatically mapping dependencies and timelines. 

   I also appreciate its visual project mapping, which makes it easier to spot bottlenecks and coordinate across multiple teams. These features make Bolt a strong choice for organizations that need to keep ambitious, multi-layered prototyping efforts organized and on track.

   Bolt Key Features

   Some other features that make Bolt valuable for AI prototyping teams include:

   • Automated status reporting: The platform generates real-time progress updates for all stakeholders.
   • Role-based permissions: Assign different access levels to team members based on their responsibilities.
   • Template library: Access pre-built project templates tailored for various industries and workflows.
   • Custom workflow automation: Set up automated triggers and actions to streamline repetitive project management tasks.

   Bolt Integrations

   Integrations include Figma and GitHub.

   Pros and Cons

   Pros:

   • Great AI chat code editor
   • Deployable AI prototypes
   • Handles full-stack logic

   Cons:

   • Overwhelming for designers
   • UI design is very basic
   Learn more about Bolt:

   • Check out Bolt on their website
8. 

   8

   Lovable

   Best for importing specs from project management tools

   • Free plan + free demo
   • From $21/month (billed annually)

   Visit Website

   Customer Rating:4.5/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Lovable is an AI-powered prototyping tool designed for product teams and UX professionals who want to accelerate the transition from requirements to interactive prototypes. It stands out for its ability to turn detailed project specs into working prototypes with minimal manual effort. Teams looking to bridge the gap between planning and design may find Lovable especially useful.

   Who Is Lovable Best For?

   Lovable is a strong fit for product managers and UX teams at SaaS companies who need to quickly convert project management specs into interactive prototypes.

   Why I Picked Lovable

   What drew me to Lovable is how it directly addresses the challenge of moving specs from project management tools into actionable prototypes. Lovable lets you import requirements and user stories from platforms like Jira or Linear, then uses AI to generate interactive wireframes that reflect those specs. 

   I find this especially valuable for teams that want to reduce manual translation work and keep prototypes tightly aligned with evolving project documentation. This approach helps ensure that design and development stay in sync from the very start of a project.

   Lovable Key Features

   Some other features that stood out to me include:

   • AI-powered UI component suggestions: The tool recommends relevant UI elements based on your imported specs and user flows.
   • Real-time collaborative editing: Multiple team members can edit and comment on prototypes simultaneously within the platform.
   • Version history and rollback: You can track changes to prototypes and revert to previous versions as needed.
   • Export to Figma and code: Prototypes can be exported directly to Figma or as developer-ready code snippets for faster handoff.

   Lovable Integrations

   Integrations include Jira, Confluence, Notion, Linear, GitHub, GitLab, Slack, Shopify, Stripe, and Supabase.

   Pros and Cons

   Pros:

   • Creates functional web apps
   • Understands project context
   • Fast full-stack generation

   Cons:

   • Subscription can be pricey
   • Steep learning curve exists
   Learn more about Lovable:

   • Check out Lovable on their website
9. 

   9

   Figma Make

   Best with Figma design system integration

   • Free plan
   • From $16/month (billed annually)

   Visit Website

   

   Figma Make brings AI-driven prototyping directly into the Figma ecosystem, making it a strong fit for design teams already using Figma for their workflows. Product designers and UX professionals can use it to quickly turn concepts into interactive prototypes without leaving their primary design environment. This tool helps teams reduce manual steps and maintain consistency across projects.

   Who Is Figma Make Best For?

   Figma Make is a strong choice for design teams and UX professionals working within organizations that already rely on Figma for collaborative product design.

   Why I Picked Figma Make

   I chose Figma Make because it brings AI-powered prototyping directly into the Figma design system, which is a major advantage for teams already invested in Figma’s ecosystem. The tool uses AI to generate interactive prototypes that automatically align with your existing design tokens, components, and libraries. 

   This means you can maintain brand consistency and design standards without extra manual work. I also appreciate how Figma Make lets you iterate on prototypes using the same assets and workflows your team already knows.

   Figma Make Key Features

   Some other features worth noting for teams considering Figma Make include:

   • AI-powered user flow generation: Automatically creates user flows based on your project requirements and prompts.
   • Real-time collaboration: Multiple team members can work on prototypes simultaneously within the same Figma file.
   • Component suggestion engine: Recommends relevant components from your design system as you build out screens.
   • Version history tracking: Keeps a detailed log of changes and iterations for easy review and rollback.

   Figma Make Integrations

   Integrations include Supabase, Figma Sites, Figma Design, FigJam, ProtoPie, Principle, Maze, Framer Web, Pendo, and Bubble.

   Pros and Cons

   Pros:

   • Smooth designer workflows
   • Real-time team collaboration
   • Generates UI very quickly

   Cons:

   • Requires premium accounts
   • Struggles with deep logic
   Learn more about Figma Make:

   • Check out Figma Make on their website
10. 

    10

    Mockitt

    Best for text-to-prototype with PM-focused AI tools

    • Free plan available
    • From $10/month (billed annually)

    Visit Website

    

    Mockitt is an AI prototyping tool that lets you generate interactive prototypes from text prompts, alongside wireframing, user flow mapping, and product requirement drafting tools built for product managers.

    Who Is Mockitt Best For?

    Mockitt is a strong fit for product managers who want to go from idea to interactive prototype without handing off to a designer first.

    Why I Picked Mockitt

    I picked Mockitt as one of the best because it's built around a text-to-prototype workflow that product managers can actually drive themselves. Type a product brief or feature description, and Mockitt generates an interactive prototype directly from that input. I also like its AI-powered user flow mapping and product requirement drafting tools, which keep the entire discovery-to-prototype process in one place without pulling in a designer at every turn.

    Mockitt Key Features

    • Real-time collaboration: Multiple team members can edit and comment on prototypes simultaneously within a shared workspace.
    • Interactive component library: A built-in library of pre-built UI components lets you drag and drop elements directly into your prototype canvas.
    • Clickable prototype sharing: Generate a shareable link to your prototype so stakeholders can click through flows and leave feedback without needing an account.
    • Version history: Mockitt tracks changes over time, letting you restore earlier versions of your prototype when needed.

    Mockitt Integrations

    Mockitt documents an OpenAI-powered ChatGPT integration for AI prototyping. It also supports importing Figma and Sketch files, though these are file imports rather than native integrations.

    Pros and Cons

    Pros:

    • Stakeholders can review shared clickable prototypes
    • PM tools connect briefs with flows
    • Text prompts produce clickable prototypes quickly

    Cons:

    • AI output can miss product context
    • Generated screens need manual refinement
    Learn more about Mockitt:

    • Check out Mockitt on their website