{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_deblank","slug":"deblank","name":"Deblank","type":"product","url":"https://deblank.com","page_url":"https://unfragile.ai/deblank","categories":["app-builders","automation"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_deblank__cap_0","uri":"capability://image.visual.ai.powered.design.suggestion.generation","name":"ai-powered design suggestion generation","description":"Generates contextual design recommendations by analyzing user input (brief, mood, style preferences) through a neural recommendation engine that synthesizes design principles, color theory, and layout patterns. The system appears to use a multi-stage pipeline: intent parsing → design constraint extraction → candidate generation from a learned design space → ranking by aesthetic coherence and novelty. Outputs are design direction suggestions rather than finished assets.","intents":["Get AI-generated design direction suggestions when facing a blank canvas","Receive multiple design concept variations for a single brief to explore different creative directions","Understand why a particular design suggestion matches my project requirements"],"best_for":["Solo designers and junior creatives struggling with initial conceptualization","Design teams in early ideation phases needing rapid concept exploration","Students and emerging professionals experimenting with AI-assisted workflows"],"limitations":["Unclear whether suggestions are generated de novo or ranked from a curated design database, affecting originality guarantees","No documented support for design system constraints or brand guideline enforcement","Recommendation quality heavily dependent on input brief clarity — vague inputs likely produce generic suggestions","No apparent feedback loop to refine suggestions based on user acceptance/rejection patterns"],"requires":["Web browser with modern JavaScript support","Design brief or project context (text description minimum)"],"input_types":["text (design brief, mood keywords, style descriptors)","optional: reference images or design mood boards"],"output_types":["design suggestions (format unclear — likely visual mockups or structured design parameters)","design rationale/explanation text"],"categories":["image-visual","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_deblank__cap_1","uri":"capability://search.retrieval.inspiration.discovery.and.curation.engine","name":"inspiration discovery and curation engine","description":"Surfaces relevant design inspiration from internal or external sources by matching user project context against a curated design database or web index. The system likely uses semantic similarity matching (embeddings-based retrieval) to find visually and conceptually related designs, then ranks results by relevance, recency, and diversity to avoid homogeneous recommendations. May incorporate collaborative filtering to surface designs that similar users found valuable.","intents":["Discover design inspiration relevant to my specific project without manual Pinterest/Dribbble browsing","Find unexpected design directions I wouldn't have searched for manually","Build a mood board of reference designs quickly to establish visual direction"],"best_for":["Designers seeking rapid inspiration cycles without context-switching to external platforms","Creative professionals working under time pressure who need curated results vs. raw search","Teams establishing visual direction collaboratively and needing shared inspiration sources"],"limitations":["Unknown whether inspiration sources are licensed or properly attributed, creating potential copyright/attribution issues","No documented ability to filter by design system, accessibility standards, or brand guidelines","Recommendation diversity unclear — system may cluster around popular/trending designs rather than exploring niche directions","No apparent integration with design tools, requiring manual context-switching to apply inspiration"],"requires":["Web browser access","Project context or design keywords"],"input_types":["text (project description, style keywords, target audience)","optional: reference images or mood descriptors"],"output_types":["curated design references (images with metadata)","design trend analysis or pattern summaries"],"categories":["search-retrieval","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_deblank__cap_2","uri":"capability://planning.reasoning.blank.canvas.problem.detection.and.intervention","name":"blank canvas problem detection and intervention","description":"Identifies when a user is experiencing creative block or decision paralysis (blank canvas syndrome) through behavioral signals — session duration without progress, repeated brief edits, or explicit user indication — and proactively surfaces suggestions, constraints, or structured prompts to restart ideation. The system may use heuristics (e.g., time-to-first-action metrics) or explicit user feedback to trigger intervention workflows that guide users toward actionable next steps.","intents":["Get unstuck when I don't know where to start on a new design project","Receive guided prompts that help me clarify my design brief and constraints","Access structured ideation frameworks (e.g., design thinking, mood-based exploration) when feeling creatively blocked"],"best_for":["Emerging designers and students prone to perfectionism or analysis paralysis","Freelancers working across diverse project types who need rapid context-switching","Teams in early-stage projects lacking clear creative direction"],"limitations":["Intervention triggers and thresholds are undocumented, making it unclear when suggestions will appear","No evidence of personalization based on individual creative working styles or preferences","May produce generic guidance that doesn't address domain-specific blockers (e.g., brand constraints, technical limitations)","Relies on user engagement signals that may not accurately reflect creative block vs. deliberate iteration"],"requires":["Active session in Deblank platform","Implicit or explicit signal of creative uncertainty"],"input_types":["behavioral signals (session duration, interaction patterns)","optional: explicit user indication of being stuck"],"output_types":["structured prompts or questions to clarify design intent","suggestion triggers for inspiration discovery or AI recommendations","ideation frameworks or constraint-based exploration paths"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_deblank__cap_3","uri":"capability://planning.reasoning.rapid.design.iteration.and.feedback.synthesis","name":"rapid design iteration and feedback synthesis","description":"Enables quick iteration cycles by accepting design feedback (textual critique, preference signals, or constraint updates) and generating refined suggestions that incorporate user direction. The system likely maintains a design context state across iterations, tracking user preferences and constraints to produce increasingly aligned recommendations. May use reinforcement learning or preference learning to adapt suggestions based on acceptance/rejection patterns.","intents":["Refine AI suggestions iteratively without starting from scratch each time","Provide feedback on design suggestions and see how the system adapts to my preferences","Explore design variations along specific dimensions (e.g., more minimalist, bolder colors) without manual re-briefing"],"best_for":["Designers who work iteratively and want AI to adapt to their feedback in real-time","Teams collaborating on design direction who need to converge on shared preferences","Rapid prototyping workflows where speed of iteration matters more than perfection"],"limitations":["No documented persistence of user preferences across sessions, limiting learning from past projects","Feedback mechanisms unclear — system may only accept explicit ratings rather than implicit signals","Iteration depth unknown — unclear if system can handle 10+ refinement cycles without degradation","No apparent integration with design tool undo/redo or version control, creating workflow friction"],"requires":["Active Deblank session","Initial design suggestion or brief"],"input_types":["text feedback (critique, preference statements, constraint updates)","preference signals (thumbs up/down, selection from variants)","optional: reference images showing desired direction"],"output_types":["refined design suggestions incorporating feedback","design variation sets exploring specific dimensions","confidence scores or rationale for refined suggestions"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_deblank__cap_4","uri":"capability://search.retrieval.smart.recommendation.ranking.and.personalization","name":"smart recommendation ranking and personalization","description":"Ranks design suggestions and inspiration results using a multi-factor scoring system that considers relevance to project brief, alignment with detected user preferences, novelty/diversity to avoid repetition, and potentially trend signals or community engagement metrics. The system likely maintains implicit user preference profiles based on interaction history (suggestions accepted, inspiration sources saved, iterations pursued) and uses collaborative filtering or content-based filtering to personalize rankings.","intents":["See the most relevant design suggestions first without wading through irrelevant options","Get recommendations that match my personal design taste and working style","Discover novel directions while avoiding suggestions I've already rejected"],"best_for":["Designers with established aesthetic preferences who want AI to learn their taste","Teams with consistent brand or style guidelines that should influence recommendations","Power users who iterate frequently and benefit from personalized ranking"],"limitations":["Personalization mechanism is undocumented — unclear if it's per-session, per-user, or per-project","Cold-start problem likely severe for new users with no interaction history","No apparent ability to explicitly set preferences or weight factors (e.g., 'prioritize minimalism over novelty')","Ranking factors may be opaque, making it difficult to understand why certain suggestions rank higher","No documented ability to exclude certain design directions or styles from recommendations"],"requires":["Interaction history (for personalization) or explicit preference signals","Project context or design brief"],"input_types":["user interaction signals (suggestions accepted/rejected, inspiration saved)","optional: explicit preference statements or style descriptors"],"output_types":["ranked suggestion lists with relevance scores","personalized recommendation sets","diversity-aware suggestion batches"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_deblank__cap_5","uri":"capability://data.processing.analysis.design.constraint.and.requirement.parsing","name":"design constraint and requirement parsing","description":"Extracts structured design constraints from natural language briefs or project descriptions using NLP-based information extraction, identifying key requirements (target audience, brand guidelines, technical constraints, style preferences, content requirements) and making them available to downstream suggestion and inspiration systems. The system likely uses named entity recognition, relation extraction, and constraint classification to convert unstructured briefs into structured design parameters that guide recommendation algorithms.","intents":["Automatically extract design requirements from a written brief without manual form-filling","Ensure AI suggestions respect my project constraints and brand guidelines","Clarify ambiguous briefs by asking follow-up questions about missing constraints"],"best_for":["Designers working with non-technical stakeholders who provide briefs in natural language","Teams managing multiple projects with varying constraints and wanting consistent requirement capture","Rapid prototyping workflows where time spent on requirement specification should be minimized"],"limitations":["Constraint extraction accuracy likely varies significantly based on brief clarity and domain specificity","No documented ability to handle domain-specific constraints (e.g., accessibility requirements, technical platform limitations)","May miss implicit constraints or cultural context that experienced designers would infer","No apparent mechanism to validate extracted constraints against user intent or ask clarifying questions","Constraint representation format is undocumented, making it unclear how constraints influence downstream systems"],"requires":["Natural language design brief or project description","Sufficient detail to extract meaningful constraints"],"input_types":["text (design brief, project description, stakeholder feedback)"],"output_types":["structured constraint objects (target audience, brand guidelines, style preferences, technical requirements)","confidence scores for extracted constraints","optional: clarifying questions for ambiguous briefs"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_deblank__cap_6","uri":"capability://search.retrieval.design.trend.and.pattern.analysis","name":"design trend and pattern analysis","description":"Analyzes current design trends, emerging patterns, and style movements by aggregating signals from design inspiration sources, community engagement metrics, and temporal patterns in design choices. The system likely maintains a trend index that tracks which design directions are gaining adoption, which styles are declining, and which niche aesthetics are emerging, making this information available to inform suggestions and help users understand the design landscape.","intents":["Understand what design trends are currently relevant to my project domain","Decide whether to follow trending directions or deliberately go against trends","Discover emerging design movements before they become mainstream"],"best_for":["Designers working in trend-sensitive domains (fashion, web, branding) who need current context","Teams making strategic design direction decisions and wanting data-informed input","Emerging designers wanting to understand the design landscape and position their work"],"limitations":["Trend analysis methodology is undocumented — unclear if based on design platform activity, social signals, or expert curation","Trend data freshness unknown — may lag real-time design evolution by weeks or months","No apparent ability to filter trends by geography, industry, or audience segment","Trend recommendations may reinforce homogeneity rather than encourage differentiation","No documented integration with design suggestions to help users decide trend-following vs. differentiation"],"requires":["Access to trend analysis data (likely requires active Deblank session)"],"input_types":["optional: project context or industry/domain filter"],"output_types":["trend summaries with adoption curves and momentum indicators","emerging pattern identification","trend-to-project relevance mapping"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":38,"verified":false,"data_access_risk":"high","permissions":["Web browser with modern JavaScript support","Design brief or project context (text description minimum)","Web browser access","Project context or design keywords","Active session in Deblank platform","Implicit or explicit signal of creative uncertainty","Active Deblank session","Initial design suggestion or brief","Interaction history (for personalization) or explicit preference signals","Project context or design brief"],"failure_modes":["Unclear whether suggestions are generated de novo or ranked from a curated design database, affecting originality guarantees","No documented support for design system constraints or brand guideline enforcement","Recommendation quality heavily dependent on input brief clarity — vague inputs likely produce generic suggestions","No apparent feedback loop to refine suggestions based on user acceptance/rejection patterns","Unknown whether inspiration sources are licensed or properly attributed, creating potential copyright/attribution issues","No documented ability to filter by design system, accessibility standards, or brand guidelines","Recommendation diversity unclear — system may cluster around popular/trending designs rather than exploring niche directions","No apparent integration with design tools, requiring manual context-switching to apply inspiration","Intervention triggers and thresholds are undocumented, making it unclear when suggestions will appear","No evidence of personalization based on individual creative working styles or preferences","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.2833333333333333,"quality":0.63,"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":"2026-05-24T12:16:30.283Z","last_scraped_at":"2026-04-05T13:23:42.562Z","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=deblank","compare_url":"https://unfragile.ai/compare?artifact=deblank"}},"signature":"K1Ge4YvFxWJFIdzU3pcwZakT3GGG77lWl9dlZQR8PBVMbhqio3/3texyAT8rXdEXq0Hj0HO0ci6ouZjuclxECQ==","signedAt":"2026-06-21T07:41:53.783Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/deblank","artifact":"https://unfragile.ai/deblank","verify":"https://unfragile.ai/api/v1/verify?slug=deblank","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"}}