{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_mindsum-ai","slug":"mindsum-ai","name":"Mindsum AI","type":"product","url":"https://www.mindsum.app","page_url":"https://unfragile.ai/mindsum-ai","categories":["chatbots-assistants"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_mindsum-ai__cap_0","uri":"capability://text.generation.language.conversational.emotional.processing.with.judgment.free.reflection","name":"conversational emotional processing with judgment-free reflection","description":"Implements a multi-turn dialogue system that mirrors user emotional states through reflective listening patterns, using LLM-based conversation management to maintain emotional continuity across sessions without clinical diagnosis or treatment claims. The system processes natural language input to identify emotional themes and responds with validating, non-directive prompts that encourage self-exploration rather than prescriptive advice.","intents":["I want to process my emotions in a safe, non-judgmental space without fear of clinical labeling","I need a conversational outlet for daily emotional check-ins between therapy sessions","I want to explore my feelings through dialogue without committing to formal mental health treatment"],"best_for":["Individuals with therapy access gaps due to cost or scheduling constraints","Users hesitant to initiate professional mental health care seeking low-pressure exploration","People supplementing existing therapy with additional emotional processing touchpoints"],"limitations":["Cannot perform clinical diagnosis or differential assessment of mental health conditions","No evidence-based therapeutic intervention protocols (CBT, DBT, ACT) — relies on generic reflective responses","Lacks continuity of care mechanisms; no integration with clinician notes or treatment plans","Conversation quality degrades on complex trauma, dissociation, or personality-based presentations"],"requires":["Internet connection for API access to LLM backend","User account creation (email or social auth)","No clinical prerequisites — intentionally designed for non-clinical users"],"input_types":["natural language text (English primary, language support unclear)"],"output_types":["natural language conversational responses","emotional validation and reflective prompts"],"categories":["text-generation-language","mental-health-support"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mindsum-ai__cap_1","uri":"capability://automation.workflow.24.7.availability.with.zero.appointment.friction","name":"24/7 availability with zero appointment friction","description":"Provides always-on conversational access without scheduling, waitlists, or availability constraints by leveraging serverless LLM infrastructure that scales to concurrent users. The system removes traditional mental health access barriers (appointment booking, clinician availability windows, insurance verification) by operating as a stateless conversation service with no human-in-the-loop requirement.","intents":["I need emotional support at 3 AM when my anxiety peaks and therapy offices are closed","I want to explore mental health without the friction of scheduling appointments or intake forms","I need immediate emotional processing without waiting weeks for a therapist opening"],"best_for":["Users in geographic areas with severe therapist shortages","Individuals with irregular sleep schedules or crisis-adjacent emotional states requiring immediate outlet","People overcoming mental health stigma who need low-commitment entry points"],"limitations":["No human escalation pathway for crisis situations — 24/7 availability is conversational only, not clinical","Stateless architecture means no persistent care coordination; each session is isolated without longitudinal tracking","Cannot provide crisis intervention, safety planning, or emergency psychiatric services","Availability does not imply quality or appropriateness for severe mental health conditions"],"requires":["Internet connectivity","Web browser or mobile app access","No appointment scheduling system or clinician coordination required"],"input_types":["natural language text input"],"output_types":["conversational responses with variable latency (typically <5 seconds)"],"categories":["automation-workflow","mental-health-support"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mindsum-ai__cap_2","uri":"capability://memory.knowledge.session.based.conversation.history.management.with.context.retention","name":"session-based conversation history management with context retention","description":"Maintains multi-turn conversation context within individual sessions using LLM context windows or session-scoped memory stores, enabling the system to track emotional themes and user references across multiple exchanges without requiring explicit state management by the user. The implementation likely uses sliding-window context management or summarization to keep conversation history within LLM token limits while preserving emotional continuity.","intents":["I want the AI to remember what I said earlier in our conversation without repeating myself","I need emotional continuity across multiple exchanges so the conversation feels natural and connected","I want to reference previous statements without re-explaining my situation"],"best_for":["Users engaging in extended emotional processing sessions (30+ minutes)","Individuals exploring complex emotional narratives requiring multi-turn dialogue","People seeking natural conversational flow without context resets"],"limitations":["No cross-session persistence — conversation history is lost after session ends; users cannot resume previous conversations","Context window limitations mean very long sessions (100+ exchanges) may lose early conversation details","No explicit user control over what context is retained or how it's used","Session isolation prevents longitudinal emotional tracking or progress monitoring across days/weeks"],"requires":["Active session connection to backend","Session token or authentication to maintain conversation state","LLM with sufficient context window (likely 4K-8K tokens minimum)"],"input_types":["natural language text (sequential, multi-turn)"],"output_types":["contextually-aware conversational responses","emotional continuity across exchanges"],"categories":["memory-knowledge","mental-health-support"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mindsum-ai__cap_3","uri":"capability://text.generation.language.emotional.validation.and.reflective.response.generation","name":"emotional validation and reflective response generation","description":"Uses LLM-based natural language generation to produce validating, empathetic responses that reflect user emotional states back to them without judgment or clinical interpretation. The system likely employs prompt engineering or fine-tuning to generate responses that follow reflective listening patterns (mirroring, validation, open-ended questions) rather than directive advice or diagnostic statements.","intents":["I want to feel heard and validated without being told what to do or how to fix myself","I need responses that acknowledge my emotions as legitimate without clinical judgment","I want the AI to ask clarifying questions that help me explore my feelings deeper"],"best_for":["Users seeking emotional validation and normalization of feelings","Individuals exploring emotions without readiness for structured therapeutic intervention","People supplementing therapy with additional validation touchpoints"],"limitations":["Validation responses are generic and not personalized to individual history or clinical presentation","No evidence-based therapeutic techniques (cognitive restructuring, behavioral activation, exposure) — only reflective mirroring","Cannot distinguish between healthy emotional processing and rumination/avoidance patterns","Reflective responses may inadvertently reinforce maladaptive emotional patterns without clinical oversight"],"requires":["LLM with instruction-following capability (GPT-3.5+, Claude, or equivalent)","Prompt engineering or fine-tuning to enforce reflective listening patterns","No clinical training data required — uses generic empathy patterns"],"input_types":["natural language emotional expressions"],"output_types":["validating, reflective natural language responses","open-ended exploratory questions"],"categories":["text-generation-language","mental-health-support"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mindsum-ai__cap_4","uri":"capability://automation.workflow.low.barrier.user.onboarding.without.clinical.intake","name":"low-barrier user onboarding without clinical intake","description":"Implements minimal signup friction (email or social auth) without clinical assessment, diagnostic questionnaires, or mental health history intake forms. The system intentionally avoids clinical intake workflows to reduce perceived barriers to entry and destigmatize mental health exploration, enabling users to begin conversations immediately without prerequisite screening or assessment.","intents":["I want to try mental health support without committing to a full clinical intake process","I want to explore my emotions without being asked diagnostic questions that feel clinical or stigmatizing","I need immediate access to emotional support without waiting for intake appointments or assessments"],"best_for":["Users hesitant about mental health care due to stigma or prior negative experiences","Individuals seeking low-commitment exploration before pursuing formal therapy","People in crisis-adjacent states who need immediate outlet without assessment delays"],"limitations":["No baseline mental health assessment means no risk stratification for crisis situations","Lack of intake data prevents personalized recommendations or appropriate escalation pathways","No screening for contraindications (active psychosis, acute suicidality, severe substance use) — system cannot identify users who need immediate clinical intervention","Cannot track symptom severity or functional impairment over time without baseline assessment"],"requires":["Email address or social media account for authentication","No clinical prerequisites or mental health history required","No insurance verification or payment processing"],"input_types":["email or social authentication credentials"],"output_types":["immediate access to conversational interface","no assessment or diagnostic output"],"categories":["automation-workflow","mental-health-support"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mindsum-ai__cap_5","uri":"capability://safety.moderation.absence.of.crisis.intervention.and.escalation.protocols","name":"absence of crisis intervention and escalation protocols","description":"The system lacks built-in mechanisms to detect, respond to, or escalate crisis situations (suicidal ideation, self-harm, acute psychiatric symptoms). There are no automated crisis detection algorithms, no integration with crisis hotlines or emergency services, and no clear user guidance on when to seek emergency care — users expressing crisis-level distress receive only conversational responses without safety intervention.","intents":["I need to know what to do if the AI detects I'm in crisis","I want clear guidance on when to call 911 or a crisis hotline instead of using this app","I need the system to recognize dangerous situations and connect me to emergency resources"],"best_for":["NOT appropriate for users with active suicidal ideation or self-harm urges","NOT appropriate for users in acute psychiatric crisis","NOT appropriate as sole mental health resource for high-risk individuals"],"limitations":["No crisis detection algorithms — system cannot identify suicidal ideation, self-harm intent, or acute psychiatric decompensation","No integration with crisis hotlines (988 Suicide & Crisis Lifeline, Crisis Text Line) or emergency services","No safety planning features or emergency contact protocols","Users expressing crisis-level distress receive only conversational responses, potentially delaying appropriate emergency intervention","No liability framework or informed consent explicitly warning users of crisis limitations","Conversational responses to crisis disclosures may inadvertently normalize or validate dangerous ideation"],"requires":["This is a LIMITATION, not a capability — system does NOT provide crisis intervention"],"input_types":["natural language expressions of crisis-level distress"],"output_types":["generic conversational responses without crisis-specific protocols"],"categories":["safety-moderation","mental-health-support"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mindsum-ai__cap_6","uri":"capability://safety.moderation.undefined.data.privacy.and.conversation.retention.practices","name":"undefined data privacy and conversation retention practices","description":"The system lacks transparent documentation of conversation data handling, retention policies, and usage for model training. Users have no clear visibility into whether conversations are stored, how long they're retained, whether they're used to fine-tune the LLM, or what third-party access exists — creating significant privacy and consent gaps for sensitive mental health disclosures.","intents":["I want to know if my conversations are stored and for how long","I need to understand if my mental health disclosures are used to train the AI model","I want to know what privacy protections apply to my sensitive emotional data"],"best_for":["NOT appropriate for users concerned about data privacy or surveillance","NOT appropriate for users in jurisdictions with strict mental health data protection (HIPAA, GDPR)","NOT appropriate for users with trust concerns about data usage"],"limitations":["No published data retention policy — unclear if conversations are deleted after session or stored indefinitely","No transparency on whether conversation data is used for model training or fine-tuning","No explicit user consent mechanisms for data usage beyond initial signup","No data deletion or export capabilities documented","Unclear third-party data sharing practices (cloud infrastructure, analytics, research)","No HIPAA compliance or healthcare-grade data protection standards","Mental health conversation data is particularly sensitive and requires explicit privacy safeguards"],"requires":["This is a LIMITATION, not a capability — privacy practices are undefined"],"input_types":["sensitive mental health conversation data"],"output_types":["no documented data handling or privacy output"],"categories":["safety-moderation","mental-health-support"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mindsum-ai__cap_7","uri":"capability://tool.use.integration.no.integration.with.clinical.providers.or.referral.pathways","name":"no integration with clinical providers or referral pathways","description":"The system operates as a standalone conversational service with no connection to licensed clinicians, therapists, or mental health providers. There are no referral mechanisms, no ability to escalate to human clinical care, and no integration with existing therapy relationships — users encountering AI limitations are left without clear pathways to appropriate professional care.","intents":["I want the AI to refer me to a therapist when it recognizes its limitations","I need a clear pathway from this app to actual clinical mental health care","I want my conversations with the AI to inform or integrate with my therapy"],"best_for":["NOT appropriate as primary mental health treatment","NOT appropriate for users needing ongoing clinical care coordination","NOT appropriate for users expecting integration with existing therapy"],"limitations":["No clinician network or referral partnerships — system cannot connect users to therapists","No care coordination mechanisms — conversations cannot be shared with or inform clinical treatment","No ability to escalate complex cases to human clinical judgment","Users encountering AI limitations (complex trauma, personality disorders, psychosis) have no clear next step","No integration with insurance, EAP, or healthcare systems","Positioning as 'supplement' to therapy is not enforced by architecture — users may rely on AI as primary care"],"requires":["This is a LIMITATION, not a capability — no clinical integration exists"],"input_types":["conversational requests for clinical referral or escalation"],"output_types":["no structured referral or care coordination output"],"categories":["tool-use-integration","mental-health-support"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["Internet connection for API access to LLM backend","User account creation (email or social auth)","No clinical prerequisites — intentionally designed for non-clinical users","Internet connectivity","Web browser or mobile app access","No appointment scheduling system or clinician coordination required","Active session connection to backend","Session token or authentication to maintain conversation state","LLM with sufficient context window (likely 4K-8K tokens minimum)","LLM with instruction-following capability (GPT-3.5+, Claude, or equivalent)"],"failure_modes":["Cannot perform clinical diagnosis or differential assessment of mental health conditions","No evidence-based therapeutic intervention protocols (CBT, DBT, ACT) — relies on generic reflective responses","Lacks continuity of care mechanisms; no integration with clinician notes or treatment plans","Conversation quality degrades on complex trauma, dissociation, or personality-based presentations","No human escalation pathway for crisis situations — 24/7 availability is conversational only, not clinical","Stateless architecture means no persistent care coordination; each session is isolated without longitudinal tracking","Cannot provide crisis intervention, safety planning, or emergency psychiatric services","Availability does not imply quality or appropriateness for severe mental health conditions","No cross-session persistence — conversation history is lost after session ends; users cannot resume previous conversations","Context window limitations mean very long sessions (100+ exchanges) may lose early conversation details","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:31.858Z","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=mindsum-ai","compare_url":"https://unfragile.ai/compare?artifact=mindsum-ai"}},"signature":"ZLEnXPE5WTekLwfxYY7j7W7PHXKd33hL6S4sfUr3D9+vfTJRHz+70RkOsHog7V0/QaRertm9LEPXonylzvC/Bg==","signedAt":"2026-06-22T07:54:35.445Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mindsum-ai","artifact":"https://unfragile.ai/mindsum-ai","verify":"https://unfragile.ai/api/v1/verify?slug=mindsum-ai","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"}}