{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_gnothiai","slug":"gnothiai","name":"Gnothiai","type":"product","url":"https://gnothiai.com","page_url":"https://unfragile.ai/gnothiai","categories":["automation","chatbots-assistants"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_gnothiai__cap_0","uri":"capability://text.generation.language.conversational.ai.guided.journaling.with.follow.up.prompts","name":"conversational-ai-guided-journaling-with-follow-up-prompts","description":"Implements a multi-turn dialogue system where an LLM chatbot analyzes user journal entries in real-time and generates contextually-aware follow-up questions designed to deepen reflection. The system maintains conversation state across sessions, allowing the bot to reference previous entries and build on prior insights. Uses prompt engineering to guide users toward deeper self-discovery rather than surface-level responses, with the chatbot acting as a Socratic coach that asks clarifying questions based on detected emotional themes or unresolved tensions in the user's writing.","intents":["I want the AI to ask me probing questions about my journal entry so I don't just vent—I actually process what I'm feeling","I need help breaking through blank-page anxiety by having a conversational partner guide my reflection","I want the chatbot to remember what I've written before and connect patterns across my journal history","I need personalized coaching that adapts to my specific emotional patterns and growth areas"],"best_for":["individuals new to journaling who struggle with self-directed reflection","users seeking conversational accountability for personal growth goals","people who prefer dialogue-based learning over static meditation or task lists"],"limitations":["No explicit data retention policy visible—unclear how long conversation history is stored or whether it's used for model training","Conversational context window likely limited; cannot reference entries from months ago without degraded coherence","No user control over conversation tone or coaching style—one-size-fits-all LLM personality","Lacks clinical-grade safety guardrails; not designed for crisis intervention despite handling sensitive mental health disclosures"],"requires":["Active internet connection for real-time LLM inference","User account with authentication","Willingness to share personal reflections with third-party AI system"],"input_types":["freeform text (journal entries)","structured metadata (mood tags, timestamps)"],"output_types":["natural language follow-up questions","conversational guidance text","suggested reflection prompts"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gnothiai__cap_1","uri":"capability://automation.workflow.structured.meditation.session.delivery.with.audio.playback","name":"structured-meditation-session-delivery-with-audio-playback","description":"Provides a library of guided meditation sessions organized by duration, theme (stress relief, sleep, focus), and difficulty level. Sessions are delivered as pre-recorded audio with optional visual progress indicators and session metadata (duration, instructor, technique type). The system likely uses a content management backend to catalog sessions and a streaming audio player to deliver content with offline caching support. Sessions may include biometric integration hooks (e.g., heart rate monitoring) but core functionality is audio playback with minimal interactive elements.","intents":["I want a quick 5-minute meditation to reduce anxiety before a meeting","I need guided sleep meditations that I can listen to offline","I want to track which meditation types help me most and build a practice routine"],"best_for":["users seeking meditation as a complement to journaling rather than a primary practice","people who prefer guided audio over silent meditation or app-based cues"],"limitations":["Meditation library depth likely limited compared to specialized apps (Calm, Headspace, Insight Timer) which have 1000+ sessions","No adaptive difficulty progression—sessions are static, not personalized to user skill level or practice history","Audio quality and instructor variety unknown; may lack the production polish of premium meditation apps","No biometric feedback loop; cannot adjust session pacing based on real-time heart rate or breathing patterns"],"requires":["Audio playback capability (speakers or headphones)","Optional: offline storage for downloaded sessions"],"input_types":["user selection of session type/duration"],"output_types":["audio stream (MP3 or similar)","session metadata (duration, theme, instructor)"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gnothiai__cap_2","uri":"capability://data.processing.analysis.mood.and.wellness.tracking.with.temporal.analytics","name":"mood-and-wellness-tracking-with-temporal-analytics","description":"Captures user mood states, physical wellness metrics (sleep, exercise, nutrition), and emotional patterns through structured input (mood tags, rating scales) and correlates them with journal entries and meditation sessions over time. The system stores time-series data and generates trend visualizations (mood over weeks/months, correlation between meditation frequency and reported stress levels). Uses simple statistical aggregation to identify patterns (e.g., 'you report better sleep on days you meditate') without requiring complex ML—primarily a data collection and visualization layer.","intents":["I want to see if my meditation practice actually correlates with lower stress levels","I need to identify which days/times I'm most anxious so I can plan interventions","I want a visual dashboard showing my mood trends over the past month"],"best_for":["users who are data-driven and want quantitative evidence of their wellness progress","individuals building awareness of their emotional patterns through visualization"],"limitations":["Analytics are likely descriptive (showing trends) rather than predictive—cannot forecast future mood states","Correlation detection is basic; no causal inference or confounding variable analysis","Limited to data the user manually inputs; no integration with wearables (Apple Watch, Fitbit) for automated biometric capture","Privacy risk: aggregated wellness data could be sensitive if stored insecurely or used for secondary purposes"],"requires":["User engagement with mood/wellness input forms","Minimum 2-4 weeks of data for meaningful trend visualization"],"input_types":["mood ratings (1-10 scale or emoji selection)","wellness tags (slept well, exercised, stressed, etc.)","optional: manual entry of sleep hours, exercise duration"],"output_types":["time-series charts (mood over time)","correlation summaries (text: 'You report 30% better mood on days you meditate')","trend reports (weekly/monthly aggregates)"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gnothiai__cap_3","uri":"capability://text.generation.language.personalized.reflection.prompt.generation.based.on.entry.analysis","name":"personalized-reflection-prompt-generation-based-on-entry-analysis","description":"Uses NLP or LLM-based analysis to parse journal entries and automatically generate tailored reflection prompts that target unresolved themes, emotional gaps, or areas of potential growth. The system identifies key topics (relationships, work stress, health concerns) and generates follow-up prompts designed to deepen exploration of those specific areas. Prompts are delivered either immediately after entry submission or as part of a daily/weekly reflection digest, with the option for users to accept or dismiss suggestions.","intents":["I want the app to suggest reflection questions based on what I actually wrote, not generic prompts","I need help identifying blind spots in my thinking—areas I'm avoiding or not fully exploring","I want daily reflection prompts that build on my previous entries and track my progress on specific issues"],"best_for":["users who benefit from structured guidance but want personalization beyond static prompt libraries","individuals building self-awareness through iterative reflection cycles"],"limitations":["Prompt quality depends on NLP accuracy; may generate irrelevant or tone-deaf suggestions if entry analysis is shallow","No user control over prompt generation parameters—cannot adjust sensitivity to emotional content or preferred reflection style","Risk of over-interpretation: system may misidentify themes or suggest prompts that feel invasive or presumptuous","No feedback loop to improve prompt quality based on user engagement (e.g., which prompts users actually respond to)"],"requires":["Journal entries with sufficient detail for meaningful NLP analysis","User willingness to receive AI-generated suggestions"],"input_types":["freeform journal text","optional: mood tags or topic labels"],"output_types":["natural language reflection prompts","suggested focus areas (text summary)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gnothiai__cap_4","uri":"capability://memory.knowledge.session.history.and.context.persistence.across.conversations","name":"session-history-and-context-persistence-across-conversations","description":"Maintains a persistent store of user journal entries, meditation sessions, mood logs, and chatbot conversations, allowing the AI to reference past interactions and build a coherent narrative of the user's growth journey. The system implements a retrieval mechanism (likely vector embeddings or keyword search) to surface relevant past entries when the user starts a new conversation, enabling the chatbot to say things like 'Last month you mentioned struggling with X—how is that going now?' This requires a database schema that links entries, conversations, and metadata, plus a retrieval pipeline that identifies contextually relevant history.","intents":["I want the chatbot to remember what I've been working on and ask follow-up questions about my progress","I need to see my full journal history and search for entries about specific topics","I want the system to identify patterns across months of journaling and highlight my growth"],"best_for":["users building long-term wellness practices who benefit from continuity and progress tracking","individuals who want the AI to act as a persistent coach rather than a stateless chatbot"],"limitations":["Data retention policy is unclear—no public documentation on how long entries are stored or whether they're ever deleted","Context window limitations mean the chatbot cannot reference very old entries (>6 months) without degraded coherence","Search functionality likely basic (keyword or simple semantic search); no advanced filtering by mood, theme, or date range","Privacy risk: storing sensitive personal data long-term increases exposure if the system is breached or data is misused"],"requires":["User account with persistent storage","Regular journaling activity to build meaningful history"],"input_types":["journal entries (text)","conversation logs (text)","mood/wellness metadata"],"output_types":["retrieved entry summaries","contextual conversation continuations","historical trend data"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gnothiai__cap_5","uri":"capability://automation.workflow.freemium.access.model.with.tiered.feature.gating","name":"freemium-access-model-with-tiered-feature-gating","description":"Implements a freemium pricing model where core journaling and meditation features are available without payment, while premium tiers unlock advanced features (likely: unlimited AI conversations, advanced analytics, premium meditation content, offline access). The system uses account-level feature flags or subscription status checks to gate functionality at runtime, allowing free users to experience the product's core value proposition before deciding to upgrade. Monetization likely relies on conversion of engaged free users to paid tiers rather than aggressive paywalls.","intents":["I want to try journaling and meditation without committing financially","I need to understand what premium features offer before deciding to pay","I want access to basic wellness tools without a subscription"],"best_for":["individuals new to digital wellness tools who want low-risk exploration","budget-conscious users who can benefit from free tier features alone","potential customers evaluating the product before committing to paid plans"],"limitations":["Free tier likely has artificial limits (e.g., limited AI conversations per day, no advanced analytics) that may frustrate power users","Conversion funnel may be aggressive—free tier may be deliberately limited to push upgrades","No transparency on what features are truly free vs. what requires payment until user encounters a paywall","Free tier may have slower performance or lower priority on server resources compared to paid users"],"requires":["User account creation (email or social login)","No payment method required for free tier"],"input_types":["user subscription status"],"output_types":["feature access (enabled/disabled)","upgrade prompts and pricing information"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gnothiai__cap_6","uri":"capability://data.processing.analysis.unified.wellness.dashboard.aggregating.journaling.meditation.and.mood.data","name":"unified-wellness-dashboard-aggregating-journaling-meditation-and-mood-data","description":"Presents a consolidated view of the user's wellness activities across journaling, meditation, and mood tracking in a single dashboard interface. The dashboard likely displays widgets showing recent journal entries, upcoming meditation sessions, mood trends, and AI coaching insights, with the ability to drill down into each section. This requires a data aggregation layer that pulls from multiple subsystems (journal database, meditation library, mood tracker, chatbot logs) and presents them in a unified UX without requiring the user to navigate between separate screens.","intents":["I want a single screen showing my overall wellness status and recent activities","I need quick access to my journal, meditation sessions, and mood data without switching apps","I want to see how my journaling, meditation, and mood are connected at a glance"],"best_for":["users who prefer integrated tools over best-of-breed point solutions","individuals building comprehensive wellness routines who want a holistic view"],"limitations":["Dashboard may feel cluttered or overwhelming if too much data is displayed simultaneously","Customization options likely limited—users cannot rearrange widgets or choose which data to display","Performance may degrade if dashboard aggregates data from multiple slow queries","No deep analytics—dashboard is primarily a summary view, not a tool for detailed analysis"],"requires":["Active user account with data across multiple subsystems (journal entries, meditation sessions, mood logs)"],"input_types":["aggregated user data from journaling, meditation, and mood tracking systems"],"output_types":["visual dashboard (charts, widgets, summaries)","quick-access links to detailed views"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gnothiai__cap_7","uri":"capability://text.generation.language.ai.powered.wellness.coaching.with.conversational.follow.ups","name":"ai-powered-wellness-coaching-with-conversational-follow-ups","description":"Extends the chatbot beyond simple Q&A to provide ongoing coaching through multi-turn conversations where the AI offers guidance, accountability, and encouragement based on the user's journal entries and wellness goals. The coaching system uses conversational patterns (motivational interviewing, Socratic questioning, validation) to help users identify barriers to change and develop action plans. The AI maintains a coaching context across sessions, remembering previous goals and progress, and can proactively check in on commitments the user made in prior conversations.","intents":["I want an AI coach to help me work through obstacles and stay accountable to my wellness goals","I need someone to validate my feelings and help me think through difficult situations","I want the AI to follow up on commitments I made in previous conversations"],"best_for":["users seeking ongoing support and accountability for personal growth","individuals who benefit from conversational coaching but cannot afford or access human therapists"],"limitations":["AI coaching is not a substitute for therapy—lacks clinical training and cannot diagnose or treat mental health conditions","Coaching quality depends on LLM capability; may miss nuance or provide generic advice that doesn't fit the user's situation","No crisis intervention capability—system cannot escalate to human support if user discloses suicidal ideation or abuse","Coaching patterns may be repetitive or formulaic if the LLM lacks sufficient diversity in conversational strategies"],"requires":["User willingness to engage in multi-turn conversations","Sufficient journal history or explicit goal-setting for coaching to be contextually relevant"],"input_types":["user messages (natural language)","journal entries and mood data (context)"],"output_types":["coaching responses (natural language)","suggested action items or commitments","follow-up reminders"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"high","permissions":["Active internet connection for real-time LLM inference","User account with authentication","Willingness to share personal reflections with third-party AI system","Audio playback capability (speakers or headphones)","Optional: offline storage for downloaded sessions","User engagement with mood/wellness input forms","Minimum 2-4 weeks of data for meaningful trend visualization","Journal entries with sufficient detail for meaningful NLP analysis","User willingness to receive AI-generated suggestions","User account with persistent storage"],"failure_modes":["No explicit data retention policy visible—unclear how long conversation history is stored or whether it's used for model training","Conversational context window likely limited; cannot reference entries from months ago without degraded coherence","No user control over conversation tone or coaching style—one-size-fits-all LLM personality","Lacks clinical-grade safety guardrails; not designed for crisis intervention despite handling sensitive mental health disclosures","Meditation library depth likely limited compared to specialized apps (Calm, Headspace, Insight Timer) which have 1000+ sessions","No adaptive difficulty progression—sessions are static, not personalized to user skill level or practice history","Audio quality and instructor variety unknown; may lack the production polish of premium meditation apps","No biometric feedback loop; cannot adjust session pacing based on real-time heart rate or breathing patterns","Analytics are likely descriptive (showing trends) rather than predictive—cannot forecast future mood states","Correlation detection is basic; no causal inference or confounding variable analysis","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"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":"2026-05-24T12:16:30.892Z","last_scraped_at":"2026-04-05T13:23:42.560Z","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=gnothiai","compare_url":"https://unfragile.ai/compare?artifact=gnothiai"}},"signature":"PAjwxuFIzrks/tJTX1sZgKGQwkZtKk2IzLeZ4rae8gl1oTuukHaByvCLa1m8cd4NJfSV723+CRXrAKVNF4rnCw==","signedAt":"2026-06-20T13:15:26.890Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/gnothiai","artifact":"https://unfragile.ai/gnothiai","verify":"https://unfragile.ai/api/v1/verify?slug=gnothiai","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"}}