{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_inhabitr","slug":"inhabitr","name":"Inhabitr","type":"product","url":"https://www.inhabitr.com","page_url":"https://unfragile.ai/inhabitr","categories":["app-builders"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_inhabitr__cap_0","uri":"capability://planning.reasoning.room.dimension.aware.furniture.recommendation.engine","name":"room-dimension-aware furniture recommendation engine","description":"Analyzes user-provided room dimensions (length, width, height, floor plan shape) combined with aesthetic preference inputs to generate AI-curated furniture recommendations from Inhabitr's partnership catalog. The system likely uses constraint-satisfaction algorithms to ensure recommended pieces fit spatial parameters while matching style coherence, then ranks results by relevance to user preferences and available inventory.","intents":["I need furniture recommendations that actually fit my room without guessing dimensions","I want AI to eliminate bad furniture choices before I buy expensive pieces","I need a cohesive style recommendation rather than random Pinterest boards"],"best_for":["Remote workers furnishing new apartments or home offices","Renters who need quick, reversible furniture solutions","Users with decision paralysis who benefit from curated, constrained choices"],"limitations":["Recommendations limited to Inhabitr's curated furniture partnerships — cannot access broader market inventory or price-compare across retailers","Accuracy heavily dependent on precise room measurement input; imprecise dimensions degrade recommendation quality significantly","No support for existing furniture pieces users want to keep — recommendations start from blank slate only","Aesthetic preference input requires subjective categorization that may not capture nuanced style preferences"],"requires":["Room dimensions (length, width, height in feet or meters)","Aesthetic preference selection (style categories: modern, traditional, minimalist, etc.)","Active internet connection to query recommendation engine and catalog database"],"input_types":["numeric values (room dimensions)","categorical selections (style preferences, room type)","optional: room photos for visual context"],"output_types":["structured furniture recommendations (product name, category, price, dimensions)","ranked list with relevance scores","direct purchase links to partner retailers"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inhabitr__cap_1","uri":"capability://image.visual.3d.room.visualization.with.furniture.placement","name":"3d room visualization with furniture placement","description":"Renders photorealistic 3D previews of recommended furniture arrangements within the user's room space, allowing spatial validation before purchase. The system likely uses WebGL or similar 3D rendering engine to composite furniture models (sourced from partner catalogs) into a 3D room model built from user-provided dimensions, with adjustable lighting, camera angles, and material properties to simulate real-world appearance.","intents":["I want to see how furniture will actually look in my room before spending money","I need to validate that recommended pieces don't clash visually or functionally","I want to experiment with different furniture arrangements without physical rearrangement"],"best_for":["High-ticket furniture purchasers concerned about buyer's remorse","Users with spatial imagination gaps who struggle to visualize 2D specs in 3D space","Remote workers who cannot visit showrooms to see pieces in person"],"limitations":["3D models may not capture fine material details, fabric textures, or color accuracy compared to in-person viewing","Lighting simulation is approximate and may not match actual room lighting conditions (natural light, fixture placement)","Furniture models limited to Inhabitr's partnership catalog — cannot import custom or existing pieces for visualization","Rendering performance may degrade on lower-end devices or with complex room layouts","No physics simulation for stability validation (e.g., whether a tall shelf will tip in a small room)"],"requires":["WebGL-capable browser (Chrome, Firefox, Safari, Edge 2020+)","Room dimensions input (length, width, height, floor plan shape)","Furniture selection from Inhabitr's catalog","Stable internet connection for model loading and rendering"],"input_types":["room geometry (dimensions, shape, optional floor plan image)","furniture selections (product IDs from catalog)","optional: camera angle preferences, lighting presets"],"output_types":["interactive 3D scene (rotatable, zoomable, pannable)","rendered image export (PNG/JPG for sharing)","spatial metrics (clearance distances, furniture placement coordinates)"],"categories":["image-visual","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inhabitr__cap_2","uri":"capability://planning.reasoning.aesthetic.preference.to.furniture.coherence.mapping","name":"aesthetic-preference-to-furniture-coherence mapping","description":"Translates user-selected aesthetic categories (modern, traditional, minimalist, bohemian, etc.) into a coherence scoring function that evaluates furniture pieces for style consistency, color palette alignment, and design period compatibility. The system likely uses embedding-based similarity matching or rule-based style taxonomies to ensure recommended pieces form a visually cohesive collection rather than a random assortment of individual items.","intents":["I want furniture recommendations that match my style without mixing incompatible aesthetics","I need help understanding which pieces work together stylistically","I want to avoid the 'random furniture store' look where nothing matches"],"best_for":["Users with clear style preferences but limited interior design knowledge","Renters and remote workers who want professional-looking spaces quickly","Buyers who value design coherence and are willing to trade flexibility for consistency"],"limitations":["Aesthetic categories are predefined and may not capture hybrid or eclectic styles that mix multiple aesthetics","Coherence scoring is algorithmic and may miss subjective style preferences or cultural design traditions","No support for user-defined style references (e.g., 'like this Pinterest board') — only categorical selection","Color palette matching is approximate and depends on accurate product photography in catalog","Cannot account for personal taste variations within broad aesthetic categories"],"requires":["User selection of primary aesthetic category","Optional: secondary aesthetic preferences or style intensity (e.g., 'modern' vs 'ultra-modern')","Furniture catalog with tagged style metadata and color information"],"input_types":["categorical aesthetic selection (dropdown or multi-select)","optional: style intensity slider","optional: color preference input"],"output_types":["coherence score per furniture piece (0-100)","ranked furniture recommendations by style match","style explanation (why this piece matches the selected aesthetic)"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inhabitr__cap_3","uri":"capability://tool.use.integration.integrated.pricing.and.direct.to.purchase.transaction.linking","name":"integrated pricing and direct-to-purchase transaction linking","description":"Aggregates real-time pricing data from Inhabitr's furniture partner network and embeds direct purchase links within recommendation results and 3D visualizations, collapsing the gap between inspiration and transaction. The system maintains live price feeds from partner retailers, handles currency conversion, and tracks inventory availability to ensure linked products are purchasable at recommendation time.","intents":["I want to buy recommended furniture immediately without searching for retailers","I need to see total room cost before committing to a design","I want to compare prices across partner retailers without leaving the app"],"best_for":["Impulse-driven furniture buyers who want frictionless checkout","Budget-conscious users who need total cost visibility before purchasing","Users in markets with multiple partner retailers offering price competition"],"limitations":["Pricing limited to Inhabitr's partner network — cannot access independent retailers or marketplace sellers (Facebook Marketplace, Craigslist, used furniture)","Price feeds may lag real-time market changes by hours or days, risking stale pricing at checkout","No price-match guarantees or dynamic pricing optimization across partners","Currency conversion may incur hidden fees not reflected in displayed prices","Inventory availability shown at recommendation time may change before user completes purchase","No support for financing, installment plans, or negotiated pricing"],"requires":["Active partnerships with furniture retailers (API access to inventory and pricing)","Real-time price feed infrastructure with update frequency (hourly, daily, etc.)","Affiliate or referral relationship with partner retailers for transaction linking","User location data for currency and regional pricing accuracy"],"input_types":["furniture product IDs from catalog","user location (for currency and regional pricing)","optional: budget constraint input"],"output_types":["price per item (in user's local currency)","total room cost estimate","direct purchase URLs to partner retailers","inventory availability status (in stock, backorder, out of stock)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inhabitr__cap_4","uri":"capability://planning.reasoning.room.type.specific.design.templates.and.defaults","name":"room-type-specific design templates and defaults","description":"Provides pre-configured design templates and sensible defaults tailored to specific room types (bedroom, living room, home office, dining room, etc.), reducing the input burden for users who don't know where to start. The system likely includes template-based room models with typical dimensions, standard furniture layouts, and aesthetic presets that users can customize rather than building from scratch.","intents":["I don't know where to start — I just need a complete room design quickly","I want sensible defaults for a home office that I can tweak","I need typical furniture layouts for my room type to avoid missing obvious pieces"],"best_for":["First-time furniture buyers with no design experience","Users in a hurry who want fast results over perfect customization","Remote workers setting up home offices who need functional layouts quickly"],"limitations":["Templates assume standard room dimensions and layouts — non-standard spaces (lofts, angled ceilings, open-concept) may not fit templates well","Aesthetic presets are generic and may not match individual taste preferences","Templates cannot account for existing furniture or architectural features (fireplaces, built-ins, windows)","Customization of templates requires manual input — no smart template adaptation based on user feedback","Limited to predefined room types; hybrid spaces (bedroom + office) require manual combination"],"requires":["Room type selection (dropdown: bedroom, living room, home office, etc.)","Optional: room dimensions to scale template to actual space","Optional: aesthetic preference to select matching template variant"],"input_types":["categorical room type selection","optional: room dimensions (to scale template)","optional: aesthetic preference (to select template variant)"],"output_types":["pre-populated room model with default dimensions","default furniture layout with recommended pieces","customizable aesthetic preset","estimated total cost for template design"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inhabitr__cap_5","uri":"capability://planning.reasoning.multi.step.design.refinement.workflow.with.iterative.feedback","name":"multi-step design refinement workflow with iterative feedback","description":"Guides users through a structured design process (room setup → aesthetic selection → furniture recommendation → visualization → refinement) with checkpoints for feedback and iteration. The system likely tracks user choices across steps, allows backtracking to modify earlier decisions, and regenerates recommendations based on refinement inputs without requiring full restart.","intents":["I want to refine recommendations without starting over from scratch","I need a guided process that doesn't overwhelm me with all options at once","I want to adjust my aesthetic preference and see how recommendations change"],"best_for":["Users with limited design experience who benefit from structured guidance","Iterative decision-makers who want to explore options before committing","Users who want to understand the design process rather than just get a final answer"],"limitations":["Multi-step workflow adds friction compared to single-page design tools","Backtracking to earlier steps may lose context or refinements made in later steps","No branching workflows — users follow linear path rather than exploring multiple design directions in parallel","Refinement feedback is limited to predefined options (slider adjustments, checkbox toggles) rather than free-form input","No undo/redo history — users cannot easily compare previous design iterations"],"requires":["Session state management to track user progress across workflow steps","Recommendation engine that can regenerate results based on modified inputs","UI/UX design supporting step-by-step navigation with clear progress indication"],"input_types":["room dimensions and type (step 1)","aesthetic preferences (step 2)","refinement feedback (budget, specific piece preferences, style adjustments) (steps 3+)"],"output_types":["updated furniture recommendations after each refinement","updated 3D visualization reflecting changes","design summary showing all choices made"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inhabitr__cap_6","uri":"capability://search.retrieval.furniture.catalog.metadata.tagging.and.search.indexing","name":"furniture catalog metadata tagging and search indexing","description":"Maintains a curated furniture catalog with rich metadata tagging (style, color, material, dimensions, price range, room type compatibility) and full-text search indexing to enable fast filtering and discovery. The system likely uses structured product data with normalized attributes (e.g., 'modern' vs 'contemporary' mapped to same style tag) and inverted indexes for rapid search across large catalogs.","intents":["I want to search for specific furniture types (e.g., 'mid-century modern sofa under $1000')","I need to filter recommendations by material, color, or price range","I want to browse the full catalog to find pieces I like"],"best_for":["Users who want to explore catalog beyond AI recommendations","Buyers with specific constraints (budget, material preferences, color requirements)","Users who want to understand what's available before getting recommendations"],"limitations":["Catalog limited to Inhabitr's curated partnerships — cannot search across entire furniture market","Metadata tagging quality depends on partner data accuracy and Inhabitr's curation effort","Search results may be overwhelming for broad queries (e.g., 'sofa') without good filtering","No full-text search on product descriptions or reviews — only structured metadata","Catalog updates depend on partner data feeds; new products may lag market availability"],"requires":["Structured furniture catalog with normalized metadata (style, color, material, dimensions, price)","Full-text search index (Elasticsearch, Solr, or similar)","Filtering UI supporting multiple attribute dimensions"],"input_types":["search query (text)","filter selections (style, color, material, price range, room type, dimensions)"],"output_types":["ranked search results (furniture products matching query and filters)","faceted filtering options (available values for each attribute)","product details (dimensions, price, materials, images, partner links)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"high","permissions":["Room dimensions (length, width, height in feet or meters)","Aesthetic preference selection (style categories: modern, traditional, minimalist, etc.)","Active internet connection to query recommendation engine and catalog database","WebGL-capable browser (Chrome, Firefox, Safari, Edge 2020+)","Room dimensions input (length, width, height, floor plan shape)","Furniture selection from Inhabitr's catalog","Stable internet connection for model loading and rendering","User selection of primary aesthetic category","Optional: secondary aesthetic preferences or style intensity (e.g., 'modern' vs 'ultra-modern')","Furniture catalog with tagged style metadata and color information"],"failure_modes":["Recommendations limited to Inhabitr's curated furniture partnerships — cannot access broader market inventory or price-compare across retailers","Accuracy heavily dependent on precise room measurement input; imprecise dimensions degrade recommendation quality significantly","No support for existing furniture pieces users want to keep — recommendations start from blank slate only","Aesthetic preference input requires subjective categorization that may not capture nuanced style preferences","3D models may not capture fine material details, fabric textures, or color accuracy compared to in-person viewing","Lighting simulation is approximate and may not match actual room lighting conditions (natural light, fixture placement)","Furniture models limited to Inhabitr's partnership catalog — cannot import custom or existing pieces for visualization","Rendering performance may degrade on lower-end devices or with complex room layouts","No physics simulation for stability validation (e.g., whether a tall shelf will tip in a small room)","Aesthetic categories are predefined and may not capture hybrid or eclectic styles that mix multiple aesthetics","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"ecosystem":0.25,"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":"2026-05-24T12:16:31.445Z","last_scraped_at":"2026-04-05T13:23:42.551Z","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=inhabitr","compare_url":"https://unfragile.ai/compare?artifact=inhabitr"}},"signature":"rI7NFblAfX9aLOzwDL2cjUikHoocfuoVq5n6JXSnmxRqFi64HwRMtHka7FMWCU4/lo0aUlQ2bRvaFMTZJ6G8Bg==","signedAt":"2026-06-22T03:03:36.602Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/inhabitr","artifact":"https://unfragile.ai/inhabitr","verify":"https://unfragile.ai/api/v1/verify?slug=inhabitr","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"}}