{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"figma-ai","slug":"figma-ai","name":"Figma AI","type":"product","url":"https://figma.com","page_url":"https://unfragile.ai/figma-ai","categories":["app-builders"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":"$15/mo"},"status":"active","verified":false},"capabilities":[{"id":"figma-ai__cap_0","uri":"capability://code.generation.editing.text.to.functional.app.generation.with.design.context","name":"text-to-functional-app-generation-with-design-context","description":"Converts natural language prompts describing app interfaces into live, functional web applications by processing text input alongside optional Figma design file context. The system serializes design structure (layers, components, layout) into a format compatible with code generation LLM inference, then outputs executable code (framework unspecified, likely React/HTML). Operates asynchronously via chat-based iteration, allowing users to refine outputs through follow-up prompts without regenerating from scratch.","intents":["I want to describe an app idea in plain English and get a working prototype instantly without writing code","I have a Figma mockup and want to convert it to a functional web app with minimal manual coding","I need to iterate on an app design quickly by chatting with AI rather than hand-coding each change"],"best_for":["non-technical founders and product managers prototyping MVPs","design teams wanting to validate interactions before handoff to engineering","freelance designers adding development capability without hiring engineers"],"limitations":["Output framework/technology stack is undocumented — unclear if React, vanilla HTML, or proprietary format","No SLA on code quality, accessibility compliance, or performance optimization","Metered by AI credits (500/month free tier, 3,000/month Professional) — heavy iteration will exhaust budget","Context window limits unknown — unclear how large/complex design files can be processed","Single-pass or iterative generation mechanism unclear — may require multiple credit-consuming rounds to reach production-ready code"],"requires":["Figma account (free or paid)","Design file in Figma format (or text-only prompt)","Available AI credits (150/day free tier, 3,000/month Professional)","Web browser with Figma access"],"input_types":["natural language text prompt","Figma design file (.fig format)","optional follow-up chat messages for refinement"],"output_types":["executable web application code (framework unspecified)","live, hosted app instance (hosting model unknown)","downloadable code artifact (format/portability unknown)"],"categories":["code-generation-editing","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-ai__cap_1","uri":"capability://data.processing.analysis.ai.powered.semantic.layer.naming.and.organization","name":"ai-powered-semantic-layer-naming-and-organization","description":"Analyzes design layer structure, visual properties (color, size, position), and component hierarchy to suggest semantically meaningful layer names that follow naming conventions (BEM, camelCase, etc.). Operates on the current design file's layer tree without requiring external context, using visual and structural patterns to infer intent (e.g., 'button-primary-hover' vs. 'Rectangle 47'). Suggestions are presented in-context within Figma's layers panel for one-click acceptance or manual override.","intents":["I have a messy design file with auto-generated layer names and want to rename everything to be developer-friendly in one operation","I want to enforce consistent naming conventions across my design system without manually naming each layer","I need to make my design file more navigable for developers who will implement it"],"best_for":["design teams managing large design systems with 100+ components","designers collaborating with developers who need readable layer names for code generation","design ops roles standardizing naming conventions across multiple projects"],"limitations":["Naming convention preferences are not documented — unclear if system supports BEM, camelCase, snake_case, or custom patterns","No control over naming logic — cannot specify domain-specific terminology or project-specific conventions","Operates on visual properties only — may misinterpret layers with ambiguous visual patterns","Batch operation scope unknown — unclear if it renames entire file, selected frames, or requires per-layer confirmation","Consumes AI credits per operation — cost per layer or per file unknown"],"requires":["Figma account with edit permissions on design file","Available AI credits (150/day free tier minimum)","Design file with layers (any complexity level)"],"input_types":["Figma layer tree structure","visual properties (color, size, position, component type)"],"output_types":["suggested layer names (text)","batch rename operations (applied to Figma file)"],"categories":["data-processing-analysis","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-ai__cap_10","uri":"capability://memory.knowledge.design.token.and.variable.aware.ai.generation","name":"design-token-and-variable-aware-ai-generation","description":"Incorporates Figma's design tokens and variables (colors, typography, spacing, shadows) into AI-assisted design generation and refinement, ensuring generated designs respect the team's design system constraints. When generating designs or suggesting components, the AI references available tokens and variables rather than creating custom values, maintaining consistency across all AI-generated outputs. Supports token-based refinement (e.g., 'use the primary color token instead of this custom blue') to enforce design system compliance.","intents":["I want AI-generated designs to automatically use my team's design tokens instead of creating custom colors and typography","I need to ensure all AI design suggestions respect my design system's spacing and sizing constraints","I want to update my design system tokens and have all AI-generated designs update automatically"],"best_for":["design systems teams enforcing token usage across AI-generated designs","organizations with strict brand guidelines requiring token compliance","teams using Figma's Variables feature for design system management"],"limitations":["Token integration scope unclear — unclear if all AI features (design generation, component suggestion, refinement) respect tokens","Token priority/override logic unknown — unclear how AI handles cases where no token matches the desired value","Custom token support unknown — unclear if AI understands custom token naming conventions or only Figma's built-in tokens","Token update propagation unknown — unclear if changing a token automatically updates all AI-generated designs using it","Requires Figma Variables setup — teams without variables defined cannot use this feature"],"requires":["Figma Professional+ account (Variables feature is Professional+)","Design tokens/variables defined in Figma file","Available AI credits for generation/refinement operations"],"input_types":["design tokens/variables from Figma file","AI generation or refinement request"],"output_types":["AI-generated designs using design tokens","token-compliant component suggestions","refinement recommendations respecting token constraints"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-ai__cap_2","uri":"capability://search.retrieval.ai.powered.design.search.and.discovery","name":"ai-powered-design-search-and-discovery","description":"Enables semantic search across design files using natural language queries (e.g., 'find all primary buttons' or 'show me error states') by indexing design components, layers, and visual properties into a searchable vector space. Queries are processed through an embedding model to match against design semantics rather than exact text matches, returning relevant components, frames, or layers ranked by relevance. Search operates across single files or team libraries depending on scope.","intents":["I want to find all instances of a button component across my design system without manually scrolling through pages","I need to search for designs matching a visual pattern (e.g., 'cards with images') without knowing exact layer names","I want to discover existing components in my team library before creating duplicates"],"best_for":["design teams with large, multi-file design systems (50+ files)","design ops roles auditing component usage and consistency","designers onboarding to unfamiliar projects needing quick component discovery"],"limitations":["Search scope is undocumented — unclear if it searches single file, project, team, or organization level","Indexing strategy unknown — unclear if search is real-time, batch-indexed, or requires manual refresh","Query language/syntax not documented — unclear if it supports boolean operators, filters, or advanced syntax","No relevance ranking transparency — unclear how semantic similarity is scored or how results are ordered","Consumes AI credits per search — cost per query unknown, may discourage frequent searches"],"requires":["Figma account with access to design files","Available AI credits (150/day free tier minimum)","Design files with named components and layers (unstructured files may yield poor results)"],"input_types":["natural language search query (text)","optional filters (file, page, component type — if supported)"],"output_types":["ranked list of matching components/layers (with preview thumbnails)","direct links to results in Figma editor"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-ai__cap_3","uri":"capability://image.visual.mockup.to.design.conversion.with.ai.enhancement","name":"mockup-to-design-conversion-with-ai-enhancement","description":"Converts image-based mockups (screenshots, wireframes, hand-drawn sketches) into editable Figma designs by performing image-to-design OCR and layout reconstruction. The system detects UI elements (buttons, text, images, containers), recognizes visual hierarchy, and reconstructs them as native Figma components and layers. AI enhancement applies design system rules, suggests component substitutions, and auto-generates missing visual details (shadows, spacing, typography) based on design patterns.","intents":["I have a screenshot or wireframe image and want to convert it into an editable Figma design without manually recreating it","I want to take a competitor's design screenshot and quickly recreate it in Figma as a starting point","I have hand-drawn sketches and want to convert them to polished digital designs automatically"],"best_for":["designers iterating from low-fidelity wireframes to high-fidelity mockups","product managers capturing competitor designs for analysis","teams migrating designs from other tools (Sketch, Adobe XD, Photoshop) via screenshot"],"limitations":["Conversion accuracy is undocumented — no metrics on element detection rate, layout reconstruction fidelity, or text recognition accuracy","Image quality requirements unknown — unclear if low-res, compressed, or hand-drawn images are supported","Component matching logic unclear — unclear how AI decides which design system components to use or if it creates custom shapes","Text extraction reliability unknown — OCR accuracy for various fonts, sizes, and colors not documented","Consumes AI credits per conversion — cost per image unknown, may be prohibitive for batch conversions","No control over output style — cannot specify design system, color palette, or typography to apply"],"requires":["Figma account with edit permissions","Available AI credits (150/day free tier minimum)","Image file (PNG, JPG, or screenshot format)","optional: linked design system or component library for component matching"],"input_types":["image file (mockup, wireframe, screenshot, sketch)","optional: design system context (component library, color palette, typography)"],"output_types":["editable Figma design file with layers, components, and text","design system component instances (if matching succeeded)","suggested design improvements or missing elements"],"categories":["image-visual","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-ai__cap_4","uri":"capability://tool.use.integration.figma.mcp.server.integration.for.agentic.tools","name":"figma-mcp-server-integration-for-agentic-tools","description":"Exposes Figma design context (files, pages, frames, components, layers, properties) via Model Context Protocol (MCP) server, allowing external agentic coding tools and AI agents to read and reason about design structure without leaving their environment. The MCP server serializes Figma's design tree into structured data (JSON or similar format) that agents can query, analyze, and reference when generating code or documentation. Enables bidirectional workflows where agents can request design information, generate code based on design specs, and potentially write changes back to Figma.","intents":["I want my AI coding agent to understand my Figma design system and generate code that matches the design without manual context passing","I need to automate code generation from designs by letting my agent read Figma directly instead of copying specs manually","I want to build a custom agent that reasons about design and code together, using Figma as a source of truth"],"best_for":["teams building custom AI agents for design-to-code automation","developers integrating Figma into LLM-powered development workflows","design systems teams automating code generation from design tokens and components"],"limitations":["MCP server schema and endpoints are undocumented — no API reference, query language, or integration examples provided","Supported operations unclear — unclear if server supports read-only access, write operations, or real-time subscriptions","Authentication/authorization model unknown — unclear how agents authenticate or what permissions they inherit","Performance characteristics unknown — no latency, throughput, or rate-limiting documentation","Requires external agentic tool integration — Figma does not provide reference implementations or SDKs","Bidirectional sync unclear — unclear if agents can write changes back to Figma or only read"],"requires":["Figma account with API access (likely Professional+ or Enterprise)","Figma MCP Server running (self-hosted or Figma-hosted — deployment model unclear)","External agentic tool with MCP client support (e.g., Claude with MCP, custom LLM agents)","API credentials or authentication token for Figma MCP Server"],"input_types":["MCP protocol queries (schema unknown)","design file references (file ID, page name, component name)","optional: filter/query parameters for scoping results"],"output_types":["structured design data (JSON or similar format)","component definitions with properties and variants","design tokens (colors, typography, spacing)","layer hierarchy and constraints"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-ai__cap_5","uri":"capability://image.visual.ai.assisted.design.generation.from.text.descriptions","name":"ai-assisted-design-generation-from-text-descriptions","description":"Generates UI designs (frames, components, layouts) from natural language descriptions by processing text prompts through a generative model that understands design principles, component patterns, and visual hierarchy. The system produces Figma-native designs (not images) with editable layers, components, and properties that match the description. Supports iterative refinement through follow-up prompts, allowing users to adjust colors, layout, spacing, or component choices without regenerating from scratch.","intents":["I want to describe a UI layout in plain English and get a polished Figma design instantly","I need to generate multiple design variations quickly to explore different layouts for the same feature","I want to use AI to speed up the initial design phase before detailed refinement"],"best_for":["design teams accelerating wireframing and prototyping phases","product managers creating quick mockups for stakeholder feedback","non-designers building interfaces without design expertise"],"limitations":["Design quality and consistency are undocumented — no metrics on adherence to design principles, accessibility, or visual polish","Design system integration unclear — unclear if generated designs use team design tokens, components, or create custom elements","Customization options limited — no documented way to specify brand guidelines, color palettes, or typography preferences","Iterative generation cost unknown — each refinement consumes AI credits; cost per iteration not disclosed","Output fidelity unknown — unclear if designs are production-ready or require significant manual refinement","Scope limitations unknown — unclear if system supports complex interactions, animations, or responsive layouts"],"requires":["Figma account (free or paid)","Available AI credits (150/day free tier, 3,000/month Professional)","Natural language description of desired design"],"input_types":["natural language text prompt describing UI layout, components, and visual style","optional: reference designs or design system context","optional: follow-up refinement prompts"],"output_types":["editable Figma design file with frames, layers, and components","design variations (if requested)","suggested refinements or design alternatives"],"categories":["image-visual","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-ai__cap_6","uri":"capability://code.generation.editing.figma.sites.ai.assisted.website.generation.and.refinement","name":"figma-sites-ai-assisted-website-generation-and-refinement","description":"Converts Figma designs into responsive websites via Figma Sites, with AI-assisted refinement allowing users to modify generated sites using natural language prompts or code snippets. The system translates design components into HTML/CSS, handles responsive breakpoints, and generates hosting-ready code. AI enhancement enables iterative modifications (e.g., 'change the hero section to a darker background' or 'add a contact form') without returning to Figma design, allowing code-level tweaks alongside visual refinement.","intents":["I designed a website in Figma and want to publish it as a live site without writing HTML/CSS","I want to refine my website design with AI assistance, tweaking colors, layout, and content without returning to Figma","I need to add interactive elements or custom code to my Figma-designed site while maintaining visual consistency"],"best_for":["designers publishing portfolio or marketing sites without development skills","product teams launching landing pages quickly from Figma designs","agencies delivering client sites with minimal custom development"],"limitations":["Feature scope unclear — undocumented which Figma features translate to web (animations, interactions, advanced constraints)","Responsive design automation unknown — unclear how breakpoints are generated or if manual adjustment is required","AI refinement scope limited — unclear what code-level modifications are supported or if custom JavaScript is possible","Hosting model unknown — unclear if sites are hosted on Figma's infrastructure, exported for self-hosting, or both","SEO/performance optimization not documented — no mention of meta tags, image optimization, or performance tuning","Figma Sites is beta feature — stability and feature completeness not guaranteed","Requires Professional+ seat — free tier users cannot access this feature"],"requires":["Figma Professional+ account (Figma Sites is Professional+ only)","Figma design file with site structure (pages, frames, components)","Available AI credits for refinement operations (if using AI assistance)","optional: custom code editor access for advanced modifications"],"input_types":["Figma design file (converted to Figma Sites)","natural language refinement prompts (for AI assistance)","optional: custom HTML/CSS/JavaScript code snippets"],"output_types":["live website URL (hosted on Figma or exported)","responsive HTML/CSS code","design-to-code mapping (for reference or export)"],"categories":["code-generation-editing","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-ai__cap_7","uri":"capability://data.processing.analysis.ai.powered.design.system.component.suggestion.and.matching","name":"ai-powered-design-system-component-suggestion-and-matching","description":"Analyzes design elements (buttons, cards, forms, etc.) in a design file and suggests matching components from the team's design system or component library. The system uses visual pattern recognition and semantic understanding to identify component types, then matches them against available design system components, recommending substitutions that maintain visual consistency. Enables one-click replacement of custom elements with design system components, enforcing consistency across projects.","intents":["I have a design with custom buttons and want to replace them with design system components automatically","I want to audit my design file to find elements that should use design system components instead of custom shapes","I need to enforce design system compliance across my team's designs without manual review"],"best_for":["design systems teams enforcing component usage across multiple projects","large design teams needing consistency audits without manual review","organizations migrating designs to new design systems"],"limitations":["Matching accuracy unknown — unclear how well AI identifies component types or matches against design system variants","Design system integration scope unclear — unclear if it supports custom design systems or only Figma's built-in components","Variant selection logic unknown — unclear how AI chooses between component variants (e.g., primary vs. secondary button)","No control over matching rules — cannot specify custom matching logic or override suggestions programmatically","Batch operation scope unknown — unclear if suggestions are per-element, per-frame, or per-file","Consumes AI credits per operation — cost per suggestion or per file unknown"],"requires":["Figma account with edit permissions","Available AI credits (150/day free tier minimum)","Design file with elements to match","linked design system or component library (for matching)"],"input_types":["design elements (shapes, groups, components) in Figma file","design system component library (for matching reference)"],"output_types":["component match suggestions (with confidence scores if available)","batch replacement operations (applied to Figma file)","audit report (elements matched vs. unmatched)"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-ai__cap_8","uri":"capability://automation.workflow.metered.ai.credit.system.with.usage.tracking","name":"metered-ai-credit-system-with-usage-tracking","description":"Implements a consumption-based pricing model for AI features using a credit system, where each AI operation (design generation, layer renaming, search, code generation, etc.) consumes a fixed number of credits. Credits are allocated monthly based on plan tier (500/month free, 3,000/month Professional, 3,500/month Organization, 4,250/month Enterprise), with daily rate limits (150/day free tier) to prevent burst consumption. Usage is tracked in real-time within Figma's UI, showing remaining credits and estimated consumption per operation.","intents":["I want to understand how much my AI usage is costing and manage my budget across the team","I need to control AI feature access to prevent team members from exhausting credits on low-value operations","I want to forecast AI costs based on my design team's usage patterns"],"best_for":["teams managing shared AI budgets across multiple users","organizations needing cost control and usage visibility","freelancers and small teams optimizing AI spending"],"limitations":["Credit cost per operation is undocumented — unclear what 1 credit buys (e.g., 1 layer rename, 1 design generation, 1 search query)","Overage pricing not disclosed — unclear if additional credits can be purchased or what the cost is","No granular usage tracking — unclear if credits are tracked per operation, per user, or per team","No credit rollover policy documented — unclear if unused credits expire monthly or carry forward","No usage forecasting tools — users must manually estimate consumption based on undocumented credit costs","Daily rate limit on free tier (150/day) is severe — limits free tier to ~5 operations/day, forcing quick upgrade","No credit-sharing or pooling mechanism documented — unclear if teams can allocate credits to specific users"],"requires":["Figma account (any tier)","Active subscription (free tier has limited credits)","Internet connection for real-time credit tracking"],"input_types":["AI feature usage (any AI operation in Figma)","subscription plan selection"],"output_types":["credit balance display (in Figma UI)","usage history/analytics (if available)","billing statements (via Figma billing dashboard)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-ai__cap_9","uri":"capability://automation.workflow.collaborative.ai.design.feedback.and.iteration.in.shared.files","name":"collaborative-ai-design-feedback-and-iteration-in-shared-files","description":"Enables multiple team members to request AI-assisted design changes (text-to-design, refinements, component suggestions) on shared Figma files, with changes applied in real-time to the collaborative canvas. Each user's AI requests are tracked separately for credit consumption, and changes are visible to all collaborators immediately. Supports asynchronous iteration where team members can request AI modifications without blocking others, maintaining design history and version control through Figma's native collaboration features.","intents":["I want my team to use AI design features on shared files without coordinating or waiting for others","I need to track which team member requested which AI changes for accountability and learning","I want to iterate on designs collaboratively, with AI assisting multiple team members simultaneously"],"best_for":["distributed design teams collaborating asynchronously on shared design systems","agencies managing multiple client projects with shared design files","organizations needing audit trails for design changes and AI usage"],"limitations":["Conflict resolution for simultaneous AI requests unknown — unclear how system handles race conditions or conflicting changes","Credit attribution model unclear — unclear if credits are deducted from individual user budgets or shared team pool","Change notification/approval workflow not documented — unclear if AI changes require approval before applying to shared file","Version history for AI changes unknown — unclear if system tracks which AI operation produced which change","Real-time sync latency unknown — no documentation on how quickly AI changes propagate to collaborators","Requires Professional+ for team collaboration features — free tier has limited collaboration"],"requires":["Figma Professional+ account (for team collaboration)","Shared Figma file with edit permissions for all team members","Available AI credits (per-user or team pool, depending on plan)"],"input_types":["AI feature requests from multiple team members (simultaneously or asynchronously)","shared Figma file context"],"output_types":["real-time design changes applied to shared file","change history/audit log (if available)","credit usage attribution per user"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-ai__headline","uri":"capability://image.visual.ai.powered.design.tool.for.ui.generation","name":"ai-powered design tool for ui generation","description":"Figma AI is an integrated design tool that leverages artificial intelligence to auto-generate UI designs from text prompts, streamline workflows, and enhance collaborative design processes, making it ideal for designers and product teams.","intents":["best AI design tool","AI tool for UI generation","Figma alternatives for design automation","AI features in design software","collaborative design tools with AI"],"best_for":["UI/UX designers","product managers","development teams"],"limitations":["may struggle with complex requests","limited customization options"],"requires":["internet access","Figma account"],"input_types":["text prompts","design files"],"output_types":["generated UI designs","layer names","search results"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":54,"verified":false,"data_access_risk":"high","permissions":["Figma account (free or paid)","Design file in Figma format (or text-only prompt)","Available AI credits (150/day free tier, 3,000/month Professional)","Web browser with Figma access","Figma account with edit permissions on design file","Available AI credits (150/day free tier minimum)","Design file with layers (any complexity level)","Figma Professional+ account (Variables feature is Professional+)","Design tokens/variables defined in Figma file","Available AI credits for generation/refinement operations"],"failure_modes":["Output framework/technology stack is undocumented — unclear if React, vanilla HTML, or proprietary format","No SLA on code quality, accessibility compliance, or performance optimization","Metered by AI credits (500/month free tier, 3,000/month Professional) — heavy iteration will exhaust budget","Context window limits unknown — unclear how large/complex design files can be processed","Single-pass or iterative generation mechanism unclear — may require multiple credit-consuming rounds to reach production-ready code","Naming convention preferences are not documented — unclear if system supports BEM, camelCase, snake_case, or custom patterns","No control over naming logic — cannot specify domain-specific terminology or project-specific conventions","Operates on visual properties only — may misinterpret layers with ambiguous visual patterns","Batch operation scope unknown — unclear if it renames entire file, selected frames, or requires per-layer confirmation","Consumes AI credits per operation — cost per layer or per file unknown","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:21.548Z","last_scraped_at":null,"last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=figma-ai","compare_url":"https://unfragile.ai/compare?artifact=figma-ai"}},"signature":"vqPCC0SUtvs4eV5ueq+U9Fy6tMyRy/dgbHkzb5T9adQ7CfxPBBrAAJqSEf5V14zw+SDh2pIvk6pKu90pDGixDw==","signedAt":"2026-06-21T02:31:25.068Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/figma-ai","artifact":"https://unfragile.ai/figma-ai","verify":"https://unfragile.ai/api/v1/verify?slug=figma-ai","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}