{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_hidden-door","slug":"hidden-door","name":"Hidden Door","type":"product","url":"https://www.hiddendoor.co","page_url":"https://unfragile.ai/hidden-door","categories":["automation"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_hidden-door__cap_0","uri":"capability://text.generation.language.ai.driven.dynamic.narrative.generation.with.branching.plot.synthesis","name":"ai-driven dynamic narrative generation with branching plot synthesis","description":"Generates contextually-aware story branches and plot developments in real-time based on player actions and dialogue, using language models to synthesize narrative continuity across multiple concurrent player storylines. The system maintains narrative state (character motivations, world events, plot threads) and generates new story beats that respond to player choices while preserving established lore and character consistency. Architecture likely uses prompt engineering with narrative context windows, state management for world consistency, and token-efficient summarization of prior story beats to fit within LLM context limits.","intents":["I want to play collaborative stories where the plot adapts to my choices in unpredictable ways","I need an AI that can generate story branches that feel coherent with established character personalities and world rules","I want to experience narrative moments that surprise me because the AI isn't following a pre-written script"],"best_for":["Creative writers and improv enthusiasts seeking collaborative storytelling without a human dungeon master","Narrative-focused gamers who value emergent plot development over mechanical gameplay","Communities building persistent fictional worlds that evolve based on collective player decisions"],"limitations":["AI occasionally generates character behavior inconsistencies or plot logic errors that break narrative immersion when context window doesn't fully capture established character traits","Narrative coherence degrades with story length — longer campaigns may require periodic 'narrative resets' or summarization to maintain consistency","Cannot guarantee emotionally resonant or dramatically satisfying plot developments; some generated branches may feel arbitrary or anticlimactic","Latency in story generation (likely 2-5 seconds per narrative beat) creates pacing friction in real-time multiplayer sessions"],"requires":["Active internet connection for real-time LLM API calls","Modern web browser with WebSocket support for multiplayer synchronization","Account creation and authentication system"],"input_types":["natural language player actions and dialogue","character descriptions and world lore (structured or freeform text)","player choices from branching narrative options"],"output_types":["narrative prose (story descriptions and scene-setting)","character dialogue and NPC responses","branching choice options (typically 3-5 narrative paths per turn)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hidden-door__cap_1","uri":"capability://memory.knowledge.persistent.multiplayer.narrative.world.state.management","name":"persistent multiplayer narrative world state management","description":"Maintains a shared, evolving fictional world state across multiple concurrent player sessions, tracking character relationships, completed quests, world events, and narrative consequences that persist between play sessions. The system synchronizes world state updates across all connected players in real-time, ensuring that one player's actions (defeating an NPC, discovering a location, changing a faction's allegiance) immediately affect the narrative context for other players. Architecture requires distributed state synchronization (likely using operational transformation or CRDT patterns), event logging for narrative consistency, and efficient state serialization to minimize latency in multiplayer updates.","intents":["I want my character's actions to have lasting consequences that other players experience in the shared world","I need a game world that evolves and changes based on collective player decisions, not just my individual choices","I want to discover how other players have shaped the world and see the results of their narrative choices"],"best_for":["Communities building long-term persistent fictional worlds with shared investment in narrative continuity","Multiplayer narrative experiences where player interdependence and shared consequences drive engagement","Roleplaying groups that want world evolution without requiring a dedicated human GM to track state"],"limitations":["State synchronization latency (likely 500ms-2s) can create narrative conflicts when multiple players take simultaneous actions that affect the same story element","Requires robust conflict resolution logic for contradictory player actions — unclear how Hidden Door handles simultaneous narrative branches that contradict each other","State explosion risk: as world complexity grows (hundreds of NPCs, locations, relationships), maintaining consistency becomes computationally expensive","No clear mechanism for 'narrative retconning' if players collectively decide a story beat was unsatisfying — state is immutable once written"],"requires":["Persistent backend database (likely PostgreSQL or similar) for world state storage","Real-time synchronization infrastructure (WebSockets or similar) for multiplayer updates","Account system with player identity and permission management"],"input_types":["player actions and dialogue (natural language)","narrative outcomes from AI generation (structured story events)","world state snapshots (serialized game world data)"],"output_types":["updated world state (character positions, NPC relationships, completed events)","event logs (audit trail of narrative changes)","synchronized state broadcasts to all connected players"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hidden-door__cap_10","uri":"capability://search.retrieval.social.discovery.and.player.matching.for.collaborative.storytelling","name":"social discovery and player matching for collaborative storytelling","description":"Matches players with compatible narrative interests, playstyles, and availability to facilitate collaborative storytelling sessions. The system uses player profiles (preferred genres, narrative themes, availability windows, playstyle preferences), collaborative filtering or content-based matching algorithms to identify compatible players, and recommendation systems to suggest narrative worlds or campaigns that match player interests. Architecture likely uses player preference vectors, similarity matching (cosine similarity or embeddings-based), and recommendation algorithms (collaborative filtering or content-based).","intents":["I want to find other players who share my narrative interests and playstyle preferences","I need the game to recommend narrative worlds or campaigns that match my interests","I want to discover new collaborative storytelling communities without manually searching"],"best_for":["Narrative gaming communities with diverse player bases and varying interests","Platforms trying to reduce friction in finding compatible collaborators","Designers building social gaming experiences where player matching drives engagement"],"limitations":["Player preference matching is imperfect — recommendations may miss important compatibility factors (e.g., communication style, conflict resolution preferences)","Cold start problem: new players have no preference history, making recommendations difficult","No mechanism for 'soft rejection' — if matched players don't click, there's no graceful way to dissolve the match without social friction","Matching algorithms may reinforce filter bubbles, grouping players with similar interests and excluding diverse perspectives"],"requires":["Player profile system (storing preferences, availability, playstyle)","Preference matching algorithm (collaborative filtering or content-based)","Recommendation system (to suggest worlds or campaigns)","Social discovery interface (showing matched players and recommendations)"],"input_types":["player profiles (preferences, availability, playstyle)","narrative world metadata (genre, themes, player count, difficulty)","player interaction history (prior collaborations, ratings)"],"output_types":["player match recommendations (suggested collaborators)","narrative world recommendations (suggested campaigns or worlds)","compatibility scores (indicating match quality)"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hidden-door__cap_2","uri":"capability://text.generation.language.dynamic.npc.character.generation.with.behavioral.consistency","name":"dynamic npc character generation with behavioral consistency","description":"Generates non-player characters with distinct personalities, motivations, dialogue patterns, and behavioral rules that remain consistent across multiple player interactions and story sessions. The system uses character profiles (likely stored as structured prompts or embeddings) that encode personality traits, background history, relationship states, and behavioral constraints, then uses these profiles to condition LLM outputs so NPC responses feel authentically tied to established character identity. Architecture likely includes character embedding vectors for semantic similarity matching, prompt templates that inject character context into dialogue generation, and memory mechanisms (conversation history, relationship tracking) that allow NPCs to 'remember' prior player interactions.","intents":["I want NPCs that feel like real characters with consistent personalities, not generic dialogue generators","I need NPCs to remember my character's prior actions and adjust their behavior based on relationship history","I want to discover NPC motivations and backstories through interaction, not exposition"],"best_for":["Narrative-focused games where player-NPC relationships drive emotional investment and story depth","Roleplaying communities that value character authenticity and consistent personality expression","Developers building AI-driven games where NPC behavior should feel emergent rather than scripted"],"limitations":["Character consistency degrades with conversation length — NPCs may contradict established personality traits or backstory if context window doesn't fully capture character profile","Behavioral inconsistencies emerge when character profiles are ambiguous or under-specified; vague personality descriptions lead to unpredictable NPC responses","No mechanism for NPC character growth or evolution — NPCs maintain static personality profiles rather than developing based on story events","Relationship tracking requires explicit state management; if relationship history is lost or corrupted, NPC behavior becomes inconsistent with prior interactions"],"requires":["Character profile database (structured character descriptions, personality traits, relationship states)","LLM with sufficient context window to include full character profile + conversation history (likely 4k+ tokens)","Conversation history storage and retrieval system"],"input_types":["character profile descriptions (text or structured data)","player dialogue and actions (natural language)","relationship history and prior conversation logs"],"output_types":["NPC dialogue responses (natural language)","NPC actions and behavioral descriptions","relationship state updates (affinity changes, trust modifications)"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hidden-door__cap_3","uri":"capability://planning.reasoning.collaborative.player.choice.synthesis.and.consensus.narrative.branching","name":"collaborative player choice synthesis and consensus narrative branching","description":"Aggregates multiple players' simultaneous narrative choices and synthesizes them into a coherent story branch that incorporates player agency while maintaining narrative logic and world consistency. When multiple players propose conflicting actions (e.g., one player wants to attack an NPC while another wants to negotiate), the system uses LLM-based reasoning to generate a narrative outcome that honors both intents where possible, or creates a dramatic conflict that becomes part of the story. Architecture likely uses choice aggregation logic (voting, priority weighting, conflict detection), LLM-based narrative synthesis to generate outcomes that incorporate multiple player intents, and branching logic that creates distinct narrative paths based on choice consensus.","intents":["I want my character's choices to matter in a multiplayer story, even when other players make conflicting decisions","I need the game to synthesize conflicting player intents into a coherent narrative rather than picking a 'winner'","I want to experience dramatic tension when my character's goals conflict with other players' goals"],"best_for":["Multiplayer narrative games where player agency and choice consequence are central to engagement","Collaborative storytelling communities that value democratic narrative decision-making","Designers building games where player conflict drives emergent drama rather than mechanical competition"],"limitations":["Synthesizing conflicting choices introduces narrative complexity and potential incoherence — LLM may generate outcomes that feel forced or unsatisfying to some players","No clear mechanism for resolving 'veto' scenarios where one player's choice fundamentally contradicts another's (e.g., one player kills an NPC, another wants to befriend them)","Latency increases with player count — synthesizing 5+ simultaneous choices may require multiple LLM calls, creating noticeable delays","Players may feel their choices were 'diluted' or ignored if synthesis heavily weights other players' intents"],"requires":["Real-time choice aggregation system (likely WebSocket-based)","LLM with reasoning capability (GPT-4 or similar) for conflict resolution","Player voting or priority system to weight conflicting choices"],"input_types":["player choice selections (from branching options or freeform narrative actions)","player intent descriptions (natural language explanations of why they chose an action)","world state context (current situation, NPC states, narrative constraints)"],"output_types":["synthesized narrative outcome (prose description of what happens)","branching story paths that incorporate multiple player choices","consequence descriptions (how each player's choice affected the story)"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hidden-door__cap_4","uri":"capability://automation.workflow.real.time.multiplayer.session.synchronization.and.turn.management","name":"real-time multiplayer session synchronization and turn management","description":"Coordinates real-time narrative progression across multiple concurrent players, managing turn order, action resolution timing, and state synchronization to ensure all players experience a coherent shared narrative. The system handles asynchronous player input (players may submit actions at different times), buffers narrative updates, and broadcasts synchronized story beats to all connected players at consistent intervals. Architecture likely uses event-driven architecture with message queues (for action buffering), turn-based or time-windowed action resolution (collecting player inputs over 30-60 second windows), and WebSocket broadcasts for real-time state updates.","intents":["I want to play collaborative stories in real-time with other players without waiting for everyone to be online simultaneously","I need the game to manage turn order and action timing so narrative progression feels natural and fair","I want to see other players' actions and story consequences immediately as they happen"],"best_for":["Multiplayer narrative games with real-time or near-real-time player interaction","Communities playing asynchronously but wanting synchronized narrative beats (e.g., daily story updates)","Designers building social gaming experiences where presence and real-time interaction drive engagement"],"limitations":["Asynchronous player input creates narrative pacing issues — if some players submit actions quickly and others slowly, the game must choose between waiting (creating lag) or proceeding without all players (creating fairness concerns)","Network latency and disconnections can cause state desynchronization; players may see different narrative outcomes if connection drops during action resolution","Turn-based action windows (e.g., 60-second windows) create artificial pacing constraints that may feel unnatural for real-time narrative","No clear mechanism for 'catching up' players who join mid-session — they may miss narrative context or feel lost"],"requires":["Real-time communication infrastructure (WebSockets, Server-Sent Events, or similar)","Message queue or event bus for action buffering (likely Redis or similar)","Session management system with player presence tracking","Network resilience and reconnection handling"],"input_types":["player actions and dialogue (natural language, submitted asynchronously)","session state (current turn, active players, pending actions)","network events (player connections, disconnections, latency)"],"output_types":["synchronized narrative updates (broadcast to all players)","turn progression signals (indicating when narrative advances)","player presence indicators (showing who is online and active)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hidden-door__cap_5","uri":"capability://data.processing.analysis.narrative.context.compression.and.summarization.for.token.efficiency","name":"narrative context compression and summarization for token efficiency","description":"Automatically summarizes long narrative histories and world state into compressed context representations that fit within LLM token limits while preserving narrative continuity and character consistency. The system uses extractive and abstractive summarization techniques to distill prior story beats, character relationships, and world events into concise summaries, then injects these summaries into LLM prompts to maintain narrative context without exceeding token budgets. Architecture likely uses semantic similarity matching to identify relevant prior story beats, extractive summarization to preserve key plot points, and prompt engineering to format summaries in ways that condition LLM outputs effectively.","intents":["I want to play long-running campaigns without the AI forgetting earlier story beats or character relationships","I need the game to efficiently manage narrative context so story generation doesn't become prohibitively slow or expensive","I want the AI to reference prior events and character history naturally without requiring me to manually recap"],"best_for":["Long-running narrative campaigns where story history accumulates over many sessions","Persistent worlds with complex character relationships and interconnected plot threads","Developers building AI narrative systems with cost constraints (LLM API usage is expensive)"],"limitations":["Summarization introduces information loss — subtle character details, emotional beats, or plot nuances may be lost in compression, leading to inconsistent NPC behavior","Summarization quality depends on LLM capability; weaker models may produce summaries that miss important narrative context","Compressed context may not capture implicit relationships or thematic connections that human readers would infer, leading to narratively incoherent story generation","No mechanism for players to 'correct' or adjust summaries if they feel important details were lost"],"requires":["Conversation history storage and retrieval system","Summarization LLM (can be same as narrative generation LLM or separate)","Semantic similarity matching (likely using embeddings) to identify relevant prior context","Prompt engineering to format summaries for effective LLM conditioning"],"input_types":["narrative history (prior story beats, dialogue, character interactions)","world state snapshots (character relationships, completed events, NPC states)","current narrative context (active scene, relevant characters)"],"output_types":["compressed narrative summaries (concise text representations of prior story)","relevant context excerpts (key prior story beats related to current scene)","token usage estimates (for cost tracking and optimization)"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hidden-door__cap_6","uri":"capability://memory.knowledge.player.driven.world.lore.creation.and.collaborative.worldbuilding","name":"player-driven world lore creation and collaborative worldbuilding","description":"Enables players to collectively author world lore, character backstories, location descriptions, and faction rules that become part of the persistent game world and condition future AI-generated narrative. Players can propose new lore elements (e.g., 'there's a hidden temple in the northern mountains'), which are validated for consistency with existing world state, then integrated into the world knowledge base that conditions LLM narrative generation. Architecture likely uses a lore submission and approval system (with voting or curator review), lore storage in a knowledge base (possibly vector embeddings for semantic retrieval), and prompt injection to include relevant lore in narrative generation contexts.","intents":["I want to contribute to the world's lore and see my ideas reflected in future stories","I need a way to establish 'canon' world rules that the AI respects in narrative generation","I want to collaboratively build a fictional world with other players rather than having it pre-authored"],"best_for":["Communities passionate about collaborative worldbuilding and creative contribution","Narrative games where player agency extends beyond character actions to world design","Designers building games where community-authored lore drives engagement and investment"],"limitations":["Lore consistency is difficult to enforce — players may propose contradictory lore elements, and the system must resolve conflicts (unclear how Hidden Door handles this)","LLM may ignore or contradict player-authored lore if it's not prominently featured in prompts or if the lore is ambiguous","Lore quality varies widely — players may author lore that's generic, incoherent, or narratively uninteresting, degrading the overall world quality","No clear mechanism for 'lore retconning' if community decides a lore element was a mistake — lore is immutable once approved","Approval/voting systems can create political dynamics where popular players' lore is approved regardless of quality"],"requires":["Lore submission and approval system (likely with community voting or curator review)","Lore storage and retrieval system (knowledge base, possibly with vector embeddings)","Consistency checking logic (to detect contradictions with existing lore)","Prompt injection mechanism to include relevant lore in narrative generation"],"input_types":["player-authored lore descriptions (natural language text)","lore categories (location, character backstory, faction rule, historical event, etc.)","existing world state (for consistency checking)"],"output_types":["approved lore entries (stored in knowledge base)","lore consistency reports (highlighting contradictions)","lore integration into narrative generation (injected into LLM prompts)"],"categories":["memory-knowledge","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hidden-door__cap_7","uri":"capability://automation.workflow.asynchronous.play.session.management.with.narrative.continuity.across.time.gaps","name":"asynchronous play session management with narrative continuity across time gaps","description":"Manages narrative progression for players who join and leave sessions at different times, ensuring that asynchronous play doesn't create narrative discontinuities or require players to 'catch up' on missed story beats. The system generates 'recap' narratives for players joining mid-session, maintains separate narrative threads for different player groups (if some players are offline), and synchronizes these threads when players rejoin. Architecture likely uses session state snapshots, narrative branching based on player presence, and recap generation that summarizes missed story beats in a way that allows new players to understand context without reading full conversation logs.","intents":["I want to play collaborative stories with friends who have different schedules and can't always be online together","I need the game to catch me up on what happened while I was offline without requiring me to read hours of conversation logs","I want my character's story to progress even when I'm not actively playing"],"best_for":["Casual gaming communities with irregular play schedules and asynchronous participation","Global communities spanning multiple time zones where synchronous play is impractical","Players who want persistent world engagement without requiring daily login commitments"],"limitations":["Asynchronous play creates narrative pacing issues — some players may experience rapid story progression while others experience long gaps, creating inconsistent narrative momentum","Recap generation may miss important emotional beats or character development that occurred during offline periods, making returning players feel disconnected","Branching narrative threads (different stories for different player groups) can create continuity problems when players rejoin — which narrative branch becomes 'canon'?","No clear mechanism for handling 'critical' story moments that require all players to be present (e.g., major world-changing events)"],"requires":["Session state snapshots and versioning system","Narrative branching logic to handle different player groups","Recap generation system (using summarization LLM)","Player presence tracking and session join/leave event handling"],"input_types":["player join/leave events (with timestamps)","narrative history during offline periods","player preferences (recap detail level, catch-up method)"],"output_types":["recap narratives (summarizing missed story beats)","session state synchronization (bringing players up to date on world changes)","branching narrative paths (for different player groups)"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hidden-door__cap_8","uri":"capability://safety.moderation.content.moderation.and.narrative.safety.filtering","name":"content moderation and narrative safety filtering","description":"Filters AI-generated narrative content to prevent harmful, inappropriate, or policy-violating story beats from reaching players, while maintaining narrative authenticity and avoiding over-censorship that breaks immersion. The system uses content classification (likely LLM-based or rule-based) to identify potentially problematic narrative elements (graphic violence, sexual content, hate speech, etc.), then either blocks the content, rewrites it to be less harmful, or flags it for human review. Architecture likely uses content classifiers (trained models or rule-based filters), rewriting prompts to guide LLM away from harmful content, and human moderation queues for edge cases.","intents":["I want to play in a safe community where harmful content is filtered without breaking narrative immersion","I need the game to prevent AI from generating content that violates community standards or platform policies","I want moderation that's transparent about what's being filtered and why"],"best_for":["Community-driven narrative games with diverse player bases and varying content tolerance","Platforms with legal or policy requirements for content moderation (e.g., COPPA compliance for younger players)","Designers building games where narrative authenticity is important but safety is non-negotiable"],"limitations":["Content filtering introduces latency — each narrative beat must be classified before being shown to players, adding 500ms-2s delays","Over-aggressive filtering can break narrative immersion by blocking content that's contextually appropriate (e.g., describing violence in a war story)","Content classifiers have false positive/negative rates — some harmful content may slip through, and some benign content may be incorrectly flagged","Rewriting filtered content may produce narratively incoherent or awkward story beats that feel censored","No clear mechanism for players to appeal moderation decisions or provide feedback on filtering accuracy"],"requires":["Content classification system (LLM-based or trained classifier)","Content rewriting prompts (to guide LLM away from harmful content)","Human moderation queue for edge cases and appeals","Policy definitions (what content is prohibited, what's allowed with warnings, etc.)"],"input_types":["AI-generated narrative content (prose, dialogue, descriptions)","player-authored content (lore, character descriptions, actions)","moderation policies (content guidelines, prohibited categories)"],"output_types":["moderation decisions (approved, rewritten, blocked, flagged for review)","rewritten narrative content (if original was modified)","moderation logs (for transparency and appeals)"],"categories":["safety-moderation","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hidden-door__cap_9","uri":"capability://memory.knowledge.player.character.profile.management.and.persistent.identity","name":"player character profile management and persistent identity","description":"Manages player character profiles that persist across sessions and worlds, storing character attributes (name, appearance, personality, background, relationships), narrative history (prior actions, achievements, character development), and identity markers that allow NPCs and other players to recognize and respond to the character consistently. The system uses character profiles as conditioning vectors for dialogue generation, relationship tracking, and narrative consequence calculation. Architecture likely uses character profile storage (database), character embedding vectors for semantic similarity matching, and prompt injection to include character context in narrative generation.","intents":["I want my character to have a persistent identity that other players and NPCs recognize across sessions","I need my character's prior actions and relationships to affect how NPCs respond to me","I want to develop my character over time, with narrative consequences reflecting my choices"],"best_for":["Narrative games where character identity and development are central to engagement","Multiplayer communities where player recognition and reputation matter","Roleplaying-focused games where character consistency and growth are valued"],"limitations":["Character profile consistency depends on LLM respecting character context — if character profile is not prominently featured in prompts, NPCs may ignore character traits","No mechanism for character 'growth' or evolution — character profiles are static snapshots rather than dynamic entities that change based on story events","Character profile storage requires careful management — if profiles are lost or corrupted, character identity is lost","No clear mechanism for character 'retirement' or 'death' — unclear how the system handles character removal from persistent worlds"],"requires":["Character profile database (storing character attributes, history, relationships)","Character embedding vectors (for semantic similarity matching)","Relationship tracking system (storing character-to-character and character-to-NPC relationships)","Prompt injection mechanism to include character context in narrative generation"],"input_types":["character creation data (name, appearance, personality, background)","character actions and dialogue (natural language)","relationship updates (affinity changes, new relationships formed)"],"output_types":["character profile snapshots (current character state)","character history logs (prior actions and achievements)","relationship status (current relationships with NPCs and other players)"],"categories":["memory-knowledge","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":43,"verified":false,"data_access_risk":"high","permissions":["Active internet connection for real-time LLM API calls","Modern web browser with WebSocket support for multiplayer synchronization","Account creation and authentication system","Persistent backend database (likely PostgreSQL or similar) for world state storage","Real-time synchronization infrastructure (WebSockets or similar) for multiplayer updates","Account system with player identity and permission management","Player profile system (storing preferences, availability, playstyle)","Preference matching algorithm (collaborative filtering or content-based)","Recommendation system (to suggest worlds or campaigns)","Social discovery interface (showing matched players and recommendations)"],"failure_modes":["AI occasionally generates character behavior inconsistencies or plot logic errors that break narrative immersion when context window doesn't fully capture established character traits","Narrative coherence degrades with story length — longer campaigns may require periodic 'narrative resets' or summarization to maintain consistency","Cannot guarantee emotionally resonant or dramatically satisfying plot developments; some generated branches may feel arbitrary or anticlimactic","Latency in story generation (likely 2-5 seconds per narrative beat) creates pacing friction in real-time multiplayer sessions","State synchronization latency (likely 500ms-2s) can create narrative conflicts when multiple players take simultaneous actions that affect the same story element","Requires robust conflict resolution logic for contradictory player actions — unclear how Hidden Door handles simultaneous narrative branches that contradict each other","State explosion risk: as world complexity grows (hundreds of NPCs, locations, relationships), maintaining consistency becomes computationally expensive","No clear mechanism for 'narrative retconning' if players collectively decide a story beat was unsatisfying — state is immutable once written","Player preference matching is imperfect — recommendations may miss important compatibility factors (e.g., communication style, conflict resolution preferences)","Cold start problem: new players have no preference history, making recommendations difficult","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.78,"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":"2026-05-24T12:16:30.893Z","last_scraped_at":"2026-04-05T13:23:42.552Z","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=hidden-door","compare_url":"https://unfragile.ai/compare?artifact=hidden-door"}},"signature":"5/KPm35gKPT6J6uWZbeUMbAwmIRxZe6kR+TjSNNjqHTeQcFFMUNILzyn8BOoC90aD6XFzG0uaO//z6dGA2ijAg==","signedAt":"2026-06-20T08:33:55.798Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/hidden-door","artifact":"https://unfragile.ai/hidden-door","verify":"https://unfragile.ai/api/v1/verify?slug=hidden-door","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"}}