{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_ai-room-planner","slug":"ai-room-planner","name":"AI Room Planner","type":"webapp","url":"https://airoomplanner.com","page_url":"https://unfragile.ai/ai-room-planner","categories":["app-builders"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_ai-room-planner__cap_0","uri":"capability://image.visual.ai.powered.room.layout.visualization.generation","name":"ai-powered room layout visualization generation","description":"Generates 2D or 3D room layout visualizations by processing user-provided room dimensions, existing furniture descriptions, and design preferences through a generative image model (likely Stable Diffusion, DALL-E, or Midjourney variant). The system likely constructs a detailed text prompt from structured room parameters, sends it to a vision-capable generative model, and returns rendered room layouts. Architecture probably includes prompt engineering templates that inject room constraints (dimensions, existing items, style preferences) to guide generation toward spatially coherent outputs.","intents":["I want to see what my room could look like with different furniture arrangements without physically moving everything","I need quick visual mockups of multiple layout options to compare before committing to a redesign","I want to explore how a specific design style (minimalist, maximalist, bohemian) would look in my actual room dimensions"],"best_for":["Renters and homeowners exploring low-commitment design iterations","Interior design enthusiasts wanting rapid concept exploration without hiring professionals","Budget-conscious users needing inspiration before purchasing furniture"],"limitations":["Generated layouts may not respect actual furniture dimensions or spatial physics — AI may suggest furniture arrangements that are physically impossible or violate building codes","No integration with real furniture catalogs or pricing data — users cannot directly purchase suggested items","Generative models struggle with complex architectural features (angled ceilings, load-bearing walls, electrical outlets) — outputs may ignore real-world constraints","Lighting and material rendering quality depends on underlying model; may produce unrealistic shadows or finishes"],"requires":["Web browser with modern JavaScript support","Room dimensions (length, width, ceiling height) as numeric inputs","Optional: photos of existing room or furniture items for context"],"input_types":["text (room dimensions, style preferences, furniture descriptions)","image (optional: photos of existing room or furniture)"],"output_types":["image (2D or 3D rendered room layout visualization)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-room-planner__cap_1","uri":"capability://image.visual.design.style.and.aesthetic.preference.matching","name":"design style and aesthetic preference matching","description":"Accepts user-defined design style preferences (minimalist, maximalist, industrial, bohemian, etc.) and applies them as conditional constraints to the generative model through prompt engineering or style-transfer techniques. The system likely maintains a taxonomy of design styles with associated keywords, color palettes, material preferences, and furniture type associations that get injected into generation prompts. May use style embeddings or classifier models to validate that generated outputs match the requested aesthetic before returning results to users.","intents":["I want to see my room redesigned in a specific interior design style I'm drawn to","I need to explore how different aesthetic directions would work in my space before committing to a style","I want consistent design language across multiple room visualizations"],"best_for":["Users with clear aesthetic preferences seeking visual validation before purchasing","Design explorers wanting to experiment with unfamiliar styles in a low-risk way","Homeowners needing to align room designs with existing home aesthetic"],"limitations":["Style taxonomy may be limited to popular Western design movements; niche or cultural design styles may be poorly represented","Generative models may conflate style with color palette alone, missing deeper aesthetic principles (proportion, material quality, spatial flow)","No user feedback loop to refine style understanding — system cannot learn individual user's personal aesthetic preferences over time","Style consistency across multiple room generations is not guaranteed without explicit multi-image coherence constraints"],"requires":["Selection from predefined style list or free-text style description","Room dimensions and basic furniture inventory"],"input_types":["text (style name or description, e.g., 'Scandinavian minimalist with warm wood tones')"],"output_types":["image (room visualization in requested style)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-room-planner__cap_2","uri":"capability://image.visual.multi.option.design.comparison.and.iteration","name":"multi-option design comparison and iteration","description":"Enables users to generate multiple design variations for the same room (different layouts, styles, or furniture combinations) and compare them side-by-side or sequentially. The system likely batches generation requests, stores results in a session-based gallery, and provides UI controls for filtering, sorting, or favoriting outputs. May include A/B comparison views or swipe interfaces to rapidly evaluate alternatives. Architecture probably uses a queue-based generation pipeline to handle multiple concurrent requests without blocking user interaction.","intents":["I want to generate 5-10 different layout options for my room and compare them to pick the best one","I need to see how the same room looks in multiple design styles side-by-side","I want to iterate on a design by tweaking one variable (e.g., color scheme) while keeping layout constant"],"best_for":["Decision-makers needing to evaluate multiple options before committing to a design direction","Users with high design iteration velocity who want rapid feedback loops","Teams or couples needing to compare options collaboratively"],"limitations":["Unlimited free generation may lead to decision paralysis — no guidance on which options are 'best' or most feasible","No cost signal to discourage wasteful generation — users may generate hundreds of variations without meaningful filtering","Comparison UI may not scale well to large numbers of options (100+); performance degrades without pagination or lazy loading","No persistent storage of favorite designs across sessions unless user creates account — mobile users may lose comparisons"],"requires":["Web browser with session storage or account login","Room parameters (dimensions, existing furniture)"],"input_types":["text (room parameters, style preferences, variation parameters)"],"output_types":["image (multiple room visualizations in gallery or comparison view)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-room-planner__cap_3","uri":"capability://data.processing.analysis.room.dimension.and.constraint.input.handling","name":"room dimension and constraint input handling","description":"Accepts and validates user-provided room dimensions (length, width, ceiling height, door/window locations) and existing furniture inventory as structured inputs. The system likely includes input validation, unit conversion (feet to meters), and constraint parsing to ensure spatial coherence. May use a form-based UI with optional room sketch upload or AR measurement integration. Constraints are encoded into generation prompts or used to filter physically impossible layouts. Architecture probably includes a room model schema that normalizes inputs and validates against reasonable bounds (e.g., ceiling height 8-14 feet for residential).","intents":["I need to input my room's exact dimensions so generated layouts are proportionally accurate","I want to specify existing furniture or architectural features that must be preserved in the redesign","I need to account for doors, windows, and outlets when planning new layouts"],"best_for":["Users with specific room constraints who need spatially accurate visualizations","Homeowners planning renovations and needing to respect existing architecture","Renters who cannot modify walls or major features"],"limitations":["Manual dimension input is error-prone — users may misremember or mismeasure; no validation against physical reality","No integration with smart home measurement tools (laser measures, AR apps) — requires manual data entry","Constraint handling may be superficial — system may accept constraints but not enforce them in generation (e.g., 'keep sofa against north wall' may be ignored)","Complex room shapes (L-shaped, angled walls, alcoves) may not be representable in simple dimension inputs","No support for multi-level rooms, split-level floors, or non-rectangular layouts"],"requires":["Room dimensions in feet or meters","Optional: existing furniture dimensions and locations"],"input_types":["text (numeric dimensions)","image (optional: room sketch or floor plan)"],"output_types":["structured data (room model with validated constraints)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-room-planner__cap_4","uri":"capability://automation.workflow.freemium.access.model.with.unlimited.free.generation","name":"freemium access model with unlimited free generation","description":"Implements a freemium business model where core room visualization and design generation are completely free with no usage limits, while premium features (unspecified in available information) are monetized separately. The system likely uses account-based access control, session tracking, and feature flags to differentiate free vs. paid tiers. Free tier probably includes basic generation, style selection, and comparison; premium tier likely adds features like furniture shopping integration, professional design consultation, or advanced customization. Architecture uses standard SaaS patterns: user authentication, quota management (if any), and billing integration for premium features.","intents":["I want to explore room design ideas without paying upfront or committing to a subscription","I need unlimited iterations to find the perfect design before deciding if premium features are worth paying for","I want to test the tool's quality before investing in professional design services"],"best_for":["Budget-conscious homeowners and renters exploring design ideas","Users wanting to reduce friction and try before buying premium features","Casual design enthusiasts with no professional requirements"],"limitations":["Freemium model creates uncertainty about what features are free vs. paid — users may hit paywalls mid-workflow","Free tier may have hidden limitations (e.g., lower image quality, longer generation times, limited style options) not explicitly disclosed","No information on premium pricing, feature set, or whether premium features are essential for serious users","Free tier may include ads, tracking, or data collection to offset costs — privacy implications unclear","Unlimited free generation may not be sustainable long-term; free tier could be restricted or monetized more aggressively"],"requires":["Email or social login to create account (or anonymous session)","No payment method required for free tier"],"input_types":["text (email, optional: room parameters)"],"output_types":["account access, session token"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-room-planner__cap_5","uri":"capability://image.visual.generative.image.quality.and.photorealism.rendering","name":"generative image quality and photorealism rendering","description":"Produces room visualizations with varying degrees of photorealism and visual quality depending on the underlying generative model (likely Stable Diffusion, DALL-E 3, or Midjourney). The system applies prompt engineering, negative prompts, and post-processing to enhance output quality. May include upscaling, color correction, or style transfer to improve visual fidelity. Architecture probably uses a multi-stage pipeline: prompt construction → generation → quality assessment → optional post-processing → delivery. Quality likely varies based on model version, generation parameters (steps, guidance scale), and computational resources allocated per request.","intents":["I want photorealistic visualizations of my room redesign to see exactly how it will look","I need high-quality images to share with family or use for mood boarding","I want to evaluate material finishes and lighting before purchasing furniture"],"best_for":["Users needing presentation-quality visuals for decision-making or sharing","Design-conscious users who care about aesthetic quality of the visualization itself","Homeowners evaluating expensive furniture purchases based on visual mockups"],"limitations":["Photorealism quality depends on underlying model; may produce unrealistic lighting, shadows, or material finishes","Generative models struggle with fine details (fabric texture, wood grain, hardware) — visualizations may look 'AI-generated' rather than photorealistic","No control over lighting conditions (time of day, artificial vs. natural light) — users cannot see how room looks in different lighting scenarios","Upscaling and post-processing add latency; high-quality generation may take 30+ seconds per image","Quality may degrade for complex or unusual room configurations; simple rectangular rooms likely produce better results"],"requires":["Room parameters and design preferences","Sufficient generation time (30+ seconds for high-quality output)"],"input_types":["text (room parameters, style preferences)"],"output_types":["image (rendered room visualization, likely 1024x1024 or higher resolution)"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-room-planner__cap_6","uri":"capability://memory.knowledge.user.account.and.design.history.persistence","name":"user account and design history persistence","description":"Stores user-generated room designs, preferences, and design history in a persistent account system. Users can log in, retrieve previous designs, and continue iterating on saved projects. Architecture likely uses a relational database (PostgreSQL) or document store (MongoDB) to persist user accounts, room parameters, generated images, and metadata. May include cloud storage (S3, GCS) for image assets. Account system probably includes authentication (email/password, OAuth), session management, and access control to ensure users only see their own designs. May support exporting designs or sharing with others via unique URLs.","intents":["I want to save my favorite room designs and come back to them later to refine or share","I need to track my design iterations over time and compare earlier versions","I want to access my designs from multiple devices (phone, tablet, desktop)"],"best_for":["Users planning multi-phase renovations or long-term design projects","Homeowners wanting to revisit designs after weeks or months","Users collaborating with family or designers who need to access shared designs"],"limitations":["Account creation adds friction; anonymous users may not persist designs across sessions","Free tier may limit number of saved designs (e.g., 10 designs max) to encourage premium upgrades","No clear data retention policy — users may not know if designs are deleted after inactivity","Sharing designs may expose personal room information (dimensions, existing furniture) to others","No version control or branching — users cannot easily compare or revert to earlier design iterations"],"requires":["Email address or social login","Account creation (optional for anonymous session, but required for persistence)"],"input_types":["text (email, password or OAuth token)"],"output_types":["account object with design history, saved designs, preferences"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-room-planner__cap_7","uri":"capability://automation.workflow.mobile.responsive.web.interface.and.interaction.design","name":"mobile-responsive web interface and interaction design","description":"Provides a responsive web UI optimized for desktop, tablet, and mobile devices. The interface likely includes input forms for room parameters, style selection dropdowns, a gallery view for generated designs, and comparison tools. Architecture uses responsive CSS (Flexbox, Grid) and mobile-first design patterns. May include touch-optimized controls, swipe gestures for gallery navigation, and simplified forms for mobile. Probably built with modern web frameworks (React, Vue, or similar) with client-side state management for smooth interactions. Mobile experience likely includes camera integration for room photos or AR measurement (if supported).","intents":["I want to explore room designs on my phone while shopping for furniture or visiting stores","I need a mobile-friendly interface to quickly generate and compare options on the go","I want to use my phone camera to capture room photos for context"],"best_for":["Mobile-first users who primarily access tools via smartphones","Shoppers wanting to visualize designs while browsing furniture in stores","Users with limited desktop access who need mobile-optimized workflows"],"limitations":["Mobile screens are small; gallery views and comparisons may be cramped or require excessive scrolling","Touch input is less precise than mouse/keyboard; form entry may be slower on mobile","Mobile generation may be throttled or use lower-quality models to reduce bandwidth and battery drain","AR measurement or camera integration may not work on all mobile devices or browsers","Mobile session may be interrupted by network changes or app backgrounding — state loss possible without proper persistence"],"requires":["Mobile browser (iOS Safari, Chrome, Firefox, or Android Chrome)","Optional: camera access for room photos or AR measurement"],"input_types":["text (room parameters via mobile forms)","image (optional: camera capture of room)"],"output_types":["image (room visualizations optimized for mobile display)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["Web browser with modern JavaScript support","Room dimensions (length, width, ceiling height) as numeric inputs","Optional: photos of existing room or furniture items for context","Selection from predefined style list or free-text style description","Room dimensions and basic furniture inventory","Web browser with session storage or account login","Room parameters (dimensions, existing furniture)","Room dimensions in feet or meters","Optional: existing furniture dimensions and locations","Email or social login to create account (or anonymous session)"],"failure_modes":["Generated layouts may not respect actual furniture dimensions or spatial physics — AI may suggest furniture arrangements that are physically impossible or violate building codes","No integration with real furniture catalogs or pricing data — users cannot directly purchase suggested items","Generative models struggle with complex architectural features (angled ceilings, load-bearing walls, electrical outlets) — outputs may ignore real-world constraints","Lighting and material rendering quality depends on underlying model; may produce unrealistic shadows or finishes","Style taxonomy may be limited to popular Western design movements; niche or cultural design styles may be poorly represented","Generative models may conflate style with color palette alone, missing deeper aesthetic principles (proportion, material quality, spatial flow)","No user feedback loop to refine style understanding — system cannot learn individual user's personal aesthetic preferences over time","Style consistency across multiple room generations is not guaranteed without explicit multi-image coherence constraints","Unlimited free generation may lead to decision paralysis — no guidance on which options are 'best' or most feasible","No cost signal to discourage wasteful generation — users may generate hundreds of variations without meaningful filtering","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"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":"2026-05-24T12:16:29.132Z","last_scraped_at":"2026-04-05T13:23:42.561Z","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=ai-room-planner","compare_url":"https://unfragile.ai/compare?artifact=ai-room-planner"}},"signature":"5sz/o8x5QykcI8qCDT7vAlnn6NWcs710COa5pHTyClcW699mqEpMYcE5KjT5/6+PEd1VszFbNZnBQzAGN54NCA==","signedAt":"2026-06-20T05:32:28.932Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/ai-room-planner","artifact":"https://unfragile.ai/ai-room-planner","verify":"https://unfragile.ai/api/v1/verify?slug=ai-room-planner","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"}}