Ultimate Figma Make prompt guide

This is our favorite list of prompts proven to work on Figma Make.

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Everyone says, “learn Figma Make – it’s really getting important.”

But where the hell do you even start?

Last week, I wrote a post on X about how Figma Make will make you a superhuman, and it went viral with 68K+ views.🤯

Today, we are sharing 30+ prompts to help you get started to be world-class on Figma Make. This is friendly for everyone to get started.

30 detailed AI prompts built specifically for Figma Make, organized into sections covering layouts, navigation, data, logic, and AI-powered app ideas.

In today’s post, you’ll get to dive into:

👉 App foundations: Building app foundations, adaptive layouts, MVPs, design-to-logic translation, and prototypes.

👉 Data, logic & automation: Data binding, workflow automation, conditional logic, triggers, adaptive recommendations.

👉 App UX: Conversational UIs, responsive interfaces, user journey maps, AI assistants, and personalization.

👉 Design systems: Auto-component generation, branding, theme switching, motion, accessibility.

👉 Prototyping & collaboration: Storyboards, auto-prototyping, feedback, collaborative reviews, versioning, voice-based comments, testing.

👉 Launch & growth: Pre-launch, growth experiments, analytics dashboards, retention engines, monetization, sandbox testing.

Let’s explore how you can use AI as your co-pilot in Figma Make. 👇

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1. Generating MVP foundation

Most people use Figma Make like a visual playground. You’ll use it like a neural workspace.
These prompts focus on building intelligent app structures — layouts that understand data, anticipate flow, and scale beyond prototypes.

1. AI-adaptive app shell

A foundation that grows with every screen you add.

Prompt:
“Generate an adaptive app shell in Figma Make that automatically adjusts layout and navigation as new screens are created.”

Requirements:
– Detect new pages and auto-add them to navigation
– Use a flexible split-view layout that adapts to desktop and mobile
– Include state memory (active page highlighting, last visited screen)
– Apply dynamic theming (light/dark modes tied to system setting)
– Keep components modular and re-usable

Output:
A living app container that expands with your project — navigation, layout, and theme evolve automatically as you build.

2. Instant MVP generator

Turn your app idea into a working skeleton in minutes.

Prompt:
“Create a working MVP layout in Figma Make for a social productivity app where users post daily goals and track progress.”

Requirements:
– Include core flows: onboarding → home feed → add post → progress dashboard
– Auto-generate data collections for posts and user profiles
– Set up placeholder logic for ‘Add Goal’ and ‘Mark Complete’ actions
– Add pre-linked buttons between all flows
– Use card-based layout with auto-spacing

Output:
A semi-functional MVP with logic placeholders and data scaffolding — ready for live data or custom styling.

3. Context-aware layout engine

A layout that rearranges itself based on content or user state.

Prompt:
“Build a context-aware layout system in Figma Make that changes structure when the user logs in vs. logs out.”

Requirements:
– Define two states: guest and logged-in
– Auto-switch navigation bar items, CTA buttons, and color accent
– Add conditional visibility for protected screens
– Use transition animation between states
– Keep content containers fluid for any viewport

Output:
A dynamic app foundation that personalizes the layout instantly based on user state — no manual redesign required.

4. Smart screen composer

Describe a function, get a screen.

Prompt:
“Compose a new app screen in Figma Make for scheduling meetings with time slots and availability filters.”

Requirements:
– Include dynamic list of time slots fetched from data source
– Add selection state logic (highlight + confirm button)
– Include summary modal with chosen time
– Apply consistent design tokens (padding, radius, color roles)
– Generate light & dark theme variants

Output:
A fully interactive scheduling screen — generated from intent, not pixels.

5. Design-to-logic translator

Bridge visuals and actions automatically.

Prompt:
“Convert all static UI elements on this page into interactive components using Figma Make’s logic layer.”

Requirements:
– Buttons trigger navigation or modal actions
– Input fields bind to placeholder variables
– Sliders, toggles, and forms have default states
– Auto-generate ‘success’ and ‘error’ notifications
– Add preview mode for interaction testing

Output:
A logic-ready app foundation — every visual element now carries a purpose.

6. State-synced layout

One UI, multiple realities.

Prompt:
“Create a state-based layout in Figma Make that switches between three modes: default, edit, and review.”

Requirements:
– Each mode changes button sets, titles, and accent color
– Add animation for transitions (fade / slide)
– Save state to memory so app reopens in last mode
– Auto-sync mode across all related pages
– Include visual indicator for current mode

Output:
A production-grade layout framework with built-in state management — the backbone of any adaptive app.

7. Prototype-to-app converter

Skip the rebuild — go from prototype to living logic.

Prompt:
“Transform an existing Figma prototype into a working Figma Make app with preserved navigation and component styling.”

Requirements:
– Detect existing frames and convert them into pages
– Link prototype interactions as logic connections
– Map colors, fonts, and spacing to Figma Make’s design tokens
– Auto-generate global styles from prototype layers
– Include setup summary for manual refinement

Output:
A complete interactive app cloned from a prototype — a seamless bridge between imagination and execution.

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2. Data, logic & automation—Teaching your app to think

8. Auto-logic architect

Let AI wire your logic for you.

Prompt:
“Analyze all interactive components on this page and auto-generate logic actions in Figma Make.”

Requirements:
– Detect buttons, inputs, and toggles
– Suggest appropriate actions (navigate, submit, filter, show modal)
– Group logic by event type for easy debugging
– Add annotation notes for each generated rule
– Include toggle to preview logic connections visually

Output:
An instant logic map connecting every UI element — you focus on ideas, AI builds the wiring.

9. AI data-binding engine

Turn dummy data into live dynamic content.

Prompt:
“Bind this app’s components to auto-generated sample data in Figma Make.”

Requirements:
– Create mock datasets (users, tasks, products, etc.)
– Auto-link repeating lists and cards to dataset fields
– Generate default CRUD actions (create, read, update, delete)
– Add filter + sort logic
– Ensure responsive sync between list view and detail page

Output:
Fully data-aware UI — every card, table, and field now reflects real structured data.

10. Conditional visibility wizard

Elements that appear only when needed.

Prompt:
“Add conditional visibility logic to interface elements in Figma Make.”

Requirements:
– Define rules (e.g., show ‘Edit’ button only for admin users)
– Add transitions for appear/disappear states
– Preview each rule in simulation mode
– Document logic in an auto-generated table
– Allow nested conditions (AND/OR)

Output:
A logic-driven interface that dynamically adapts to user roles, input, or state.

11. Workflow automation builder

Generate entire sequences of app behavior.

Prompt:
“Build a workflow automation in Figma Make for a user onboarding process.”

Requirements:
– Trigger: new user sign-up
– Sequence: send welcome screen → show tutorial modal → unlock dashboard
– Add timing delays and completion check
– Display workflow visualization in a flow diagram
– Include option to reuse logic in other projects

Output:
Reusable, event-based automation flow — no scripting required.

12. AI form brain

Forms that validate, adapt, and guide users.

Prompt:
“Generate an intelligent multi-step form in Figma Make with adaptive field logic.”

Requirements:
– Fields change based on previous answers
– Real-time validation and error messaging
– Auto-progress when section complete
– Include summary screen with editable review
– Optional dark/light style variants

Output:
An adaptive form experience — conversational, fast, and human-aware.

13. Dynamic data simulator

Prototype with fake APIs before real data arrives.

Prompt:
“Create a mock API connector in Figma Make to simulate live data.”

Requirements:
– Auto-generate 3 datasets (users, orders, comments)
– Support fetch, filter, update functions
– Preview data responses inside editor
– Allow quick swap to real API later
– Annotate endpoints and fields

Output:
A plug-and-play fake-data layer — perfect for pre-launch testing or rapid MVPs.

14. Smart trigger library

One place to control every action across the app.

Prompt:
“Generate a central trigger library in Figma Make mapping every event and response.”

Requirements:
– Capture triggers: click, scroll, load, data-change, state-switch
– Define default responses (navigate, animate, update field)
– Allow makers to assign triggers to components from one dashboard
– Visualize trigger-response graphically
– Auto-detect duplicates for cleanup

Output:
A single-source logic control center — scalable, editable, and future-proof.

15. Adaptive recommendation logic

Teach your app to personalize content.

Prompt:
“Add AI-powered recommendation logic in Figma Make based on user behavior.”

Requirements:
– Track recent interactions (viewed items, clicked tags)
– Display personalized section (‘Recommended for you’)
– Refresh recommendations dynamically
– Use placeholder algorithm tags (similarity, popularity)
– Log interaction data for iteration

Output:
A self-optimizing experience — every user sees a version of the app that learns from them.

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3. Intelligent app experiences — Designing apps that feel alive

Forget static screens. This section is about building emotion into intelligence — apps that talk, adapt, and evolve with every interaction.

16. Conversational interface generator

Turn any app idea into a chat-based experience.