{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_inner-ai","slug":"inner-ai","name":"Inner AI","type":"product","url":"https://www.innerai.com","page_url":"https://unfragile.ai/inner-ai","categories":["automation"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_inner-ai__cap_0","uri":"capability://planning.reasoning.workflow.context.aware.decision.recommendations","name":"workflow-context-aware decision recommendations","description":"Analyzes real-time user workflow state (current tasks, recent actions, business context) to generate contextually-relevant decision suggestions rather than generic responses. The system appears to monitor user activity patterns and infer decision points, then surfaces AI-generated recommendations tailored to the specific operational context without requiring explicit prompt engineering from the user.","intents":["Get AI sanity-checking on operational decisions without manually describing full context each time","Receive proactive decision suggestions based on what I'm currently working on","Reduce decision fatigue by offloading routine operational choices to AI while maintaining control"],"best_for":["Solopreneurs making frequent operational decisions (hiring, pricing, feature prioritization)","Small startup founders who need rapid decision validation without external consultants","Operational managers seeking AI-assisted triage of routine business decisions"],"limitations":["Recommendation reasoning is opaque — no explainability layer showing which workflow signals triggered which suggestions, making audit trails difficult","Real-time context inference likely depends on active user session monitoring; recommendations may degrade if user activity data is stale or incomplete","No multi-user workflow context — appears to be single-user focused, limiting applicability to team-based decision-making"],"requires":["Active user account with workflow history (freemium tier available)","Continuous or near-continuous application usage to build sufficient context signals","Manual workflow data entry or basic integration setup if using external tools"],"input_types":["user activity logs","current task/project state","business metrics (if manually entered)","natural language queries"],"output_types":["text-based recommendations","decision suggestions with confidence indicators (inferred)","structured decision options"],"categories":["planning-reasoning","business-intelligence"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inner-ai__cap_1","uri":"capability://data.processing.analysis.real.time.operational.insight.generation","name":"real-time operational insight generation","description":"Continuously monitors user workflows and generates time-sensitive insights about operational metrics, bottlenecks, or anomalies without requiring manual data aggregation. The system likely uses lightweight telemetry collection and rule-based or ML-based anomaly detection to surface insights that would normally require manual dashboard review or data analysis.","intents":["Get alerted to operational issues (bottlenecks, anomalies) as they happen rather than in retrospective reports","Understand what's happening in my business right now without opening multiple dashboards","Identify patterns in my workflow that might indicate inefficiencies or opportunities"],"best_for":["Solo founders who lack dedicated analytics infrastructure","Small teams operating without formal business intelligence tools","Operational roles where real-time awareness is valuable but budget for Tableau/Looker is unavailable"],"limitations":["Data freshness depends on integration depth — manual data entry introduces lag; real-time claims may not hold for disconnected tools","Insight quality likely varies significantly based on data completeness; sparse or irregular workflow data may produce low-signal recommendations","No historical trend analysis or forecasting — appears to focus on current-state insights rather than predictive analytics"],"requires":["Freemium account or paid subscription","Active workflow data (either from integrated tools or manual entry)","Minimum baseline of historical activity to establish normal patterns for anomaly detection"],"input_types":["workflow activity streams","business metrics (revenue, customer count, etc.)","task/project status updates","time-series operational data"],"output_types":["text-based insights","alert notifications","metric summaries","anomaly flags"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inner-ai__cap_2","uri":"capability://automation.workflow.freemium.ai.decision.support.access.with.usage.based.upgrade.path","name":"freemium ai decision-support access with usage-based upgrade path","description":"Provides free tier access to core decision-recommendation and insight features with clear upgrade triggers to paid tiers as usage scales. The freemium model appears designed to lower adoption friction for small teams testing AI-assisted workflows, with paid tiers likely unlocking higher recommendation frequency, deeper integrations, or priority processing.","intents":["Test whether AI-assisted decision-making adds value before committing budget","Start using AI decision support with zero upfront cost","Scale AI capabilities incrementally as team grows and decision volume increases"],"best_for":["Bootstrapped founders and solopreneurs with minimal software budgets","Small teams evaluating AI-assisted workflows before enterprise commitment","Organizations piloting AI decision support across departments"],"limitations":["Free tier feature set is unclear from available information — likely significant limitations on recommendation frequency, integration options, or data retention","Freemium conversion funnel may be optimized for upsell rather than genuine value delivery, creating unclear ROI for paid tiers","No transparent pricing or feature comparison published — requires signup to understand paid tier value proposition"],"requires":["Email account for signup","No credit card required for free tier (typical freemium pattern)","Active usage to trigger upgrade recommendations"],"input_types":["user account creation","workflow activity"],"output_types":["free tier access","upgrade prompts","paid tier feature access"],"categories":["automation-workflow","business-model"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inner-ai__cap_3","uri":"capability://automation.workflow.lightweight.workflow.integration.without.process.overhaul","name":"lightweight workflow integration without process overhaul","description":"Designed to integrate into existing user workflows with minimal configuration or process change required. Rather than requiring users to adopt new workflows or data entry practices, the system appears to work with existing activity patterns and infer context from current behavior, reducing implementation friction compared to traditional business software.","intents":["Add AI decision support to my existing workflow without retraining or process changes","Use AI insights without disrupting how my team currently works","Avoid the overhead of implementing specialized business software"],"best_for":["Teams with established workflows who want to augment rather than replace processes","Organizations with limited change management capacity","Solopreneurs who cannot afford implementation overhead"],"limitations":["Lightweight integration likely means shallow data access — limited ability to pull context from disconnected tools without manual setup","Minimal process integration may result in low-signal recommendations if workflow context is incomplete or ambiguous","No workflow automation capabilities — appears to be recommendation-only, requiring manual action on suggestions"],"requires":["Existing workflow or task management system (can be informal)","Willingness to share activity data with Inner AI","No specialized training or process documentation needed"],"input_types":["user activity patterns","existing workflow state"],"output_types":["recommendations","insights"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inner-ai__cap_4","uri":"capability://planning.reasoning.opaque.decision.recommendation.generation.without.explainability","name":"opaque decision recommendation generation without explainability","description":"Generates decision recommendations and suggestions without exposing the reasoning process or decision factors that led to each recommendation. The system likely uses black-box LLM inference or undisclosed ML models to produce suggestions, but provides no audit trail, confidence scores, or factor attribution that would allow users to understand or validate the reasoning.","intents":["Get quick decision suggestions without waiting for detailed analysis","Receive AI recommendations that I can accept or reject based on my judgment","Use AI as a brainstorming partner rather than a trusted advisor"],"best_for":["Users comfortable with AI recommendations as starting points rather than authoritative guidance","Solopreneurs making low-stakes operational decisions where explainability is less critical","Teams using AI as a brainstorming tool rather than a compliance-critical decision system"],"limitations":["Lack of explainability makes it impossible to audit or validate recommendations for bias, errors, or misalignment with business values","No confidence scores or uncertainty quantification — users cannot distinguish high-confidence from speculative suggestions","Difficult to debug poor recommendations or improve system behavior over time without visibility into reasoning","Unsuitable for regulated industries or high-stakes decisions requiring documented decision rationale"],"requires":["User willingness to accept opaque AI recommendations","No regulatory or compliance requirements for decision explainability"],"input_types":["workflow context","business metrics"],"output_types":["text-based recommendations without reasoning","decision suggestions without confidence scores"],"categories":["planning-reasoning","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inner-ai__cap_5","uri":"capability://tool.use.integration.manual.workflow.data.entry.and.basic.api.integration","name":"manual workflow data entry and basic api integration","description":"Supports both manual data entry for workflow context and basic API integration with external tools, but lacks deep native integrations with major business platforms. Users can either manually input operational data or set up custom API connections, but the platform does not appear to offer pre-built connectors for popular tools like Salesforce, HubSpot, or Slack.","intents":["Connect Inner AI to my existing business tools without custom development","Manually input workflow data when integrations aren't available","Build custom integrations using APIs if pre-built connectors don't exist"],"best_for":["Small teams using non-standard or niche business tools","Solopreneurs willing to manually enter operational data","Technical founders comfortable building custom API integrations"],"limitations":["Lack of pre-built integrations with major platforms (Salesforce, HubSpot, Slack, etc.) creates friction for teams using standard tools","Manual data entry introduces lag and human error — real-time insights cannot be guaranteed if data is manually updated","Custom API integration requires developer time and maintenance; no documented SDK or integration framework mentioned","No webhook support or event-driven data sync mentioned — likely requires polling or manual refresh"],"requires":["API documentation for custom integrations (if available)","Developer resources for building custom connectors","Manual data entry process if using non-integrated tools"],"input_types":["manual text/form input","API calls from external systems","CSV/spreadsheet uploads (inferred)"],"output_types":["integrated workflow context","data ingestion confirmation"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inner-ai__cap_6","uri":"capability://planning.reasoning.single.user.workflow.context.inference","name":"single-user workflow context inference","description":"Infers decision context and operational state from individual user activity patterns rather than supporting multi-user team workflows. The system appears designed for solo users or individual decision-makers, monitoring their personal activity to generate contextual recommendations without collaborative or team-based context awareness.","intents":["Get personalized AI recommendations based on my individual workflow","Use AI decision support as a solo founder without team coordination","Receive insights tailored to my specific operational patterns"],"best_for":["Solopreneurs and solo founders making individual operational decisions","Individual contributors seeking personal decision support","Single-user workflows where team context is not relevant"],"limitations":["No multi-user context awareness — cannot infer team-level patterns, dependencies, or collaborative decision-making","Unsuitable for team-based decision support or cross-functional workflows","No role-based access control or team collaboration features mentioned","Cannot aggregate insights across team members or identify team-level bottlenecks"],"requires":["Single user account","Individual workflow activity data"],"input_types":["individual user activity","personal workflow state"],"output_types":["personalized recommendations","individual insights"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["Active user account with workflow history (freemium tier available)","Continuous or near-continuous application usage to build sufficient context signals","Manual workflow data entry or basic integration setup if using external tools","Freemium account or paid subscription","Active workflow data (either from integrated tools or manual entry)","Minimum baseline of historical activity to establish normal patterns for anomaly detection","Email account for signup","No credit card required for free tier (typical freemium pattern)","Active usage to trigger upgrade recommendations","Existing workflow or task management system (can be informal)"],"failure_modes":["Recommendation reasoning is opaque — no explainability layer showing which workflow signals triggered which suggestions, making audit trails difficult","Real-time context inference likely depends on active user session monitoring; recommendations may degrade if user activity data is stale or incomplete","No multi-user workflow context — appears to be single-user focused, limiting applicability to team-based decision-making","Data freshness depends on integration depth — manual data entry introduces lag; real-time claims may not hold for disconnected tools","Insight quality likely varies significantly based on data completeness; sparse or irregular workflow data may produce low-signal recommendations","No historical trend analysis or forecasting — appears to focus on current-state insights rather than predictive analytics","Free tier feature set is unclear from available information — likely significant limitations on recommendation frequency, integration options, or data retention","Freemium conversion funnel may be optimized for upsell rather than genuine value delivery, creating unclear ROI for paid tiers","No transparent pricing or feature comparison published — requires signup to understand paid tier value proposition","Lightweight integration likely means shallow data access — limited ability to pull context from disconnected tools without manual setup","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.2833333333333333,"quality":0.63,"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":"2026-05-24T12:16:31.445Z","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=inner-ai","compare_url":"https://unfragile.ai/compare?artifact=inner-ai"}},"signature":"QV7hUexDwfvBmg8C/RRMHr8Y4z/Cguk0qHhBnVDsNOTiTPNpj6FPF4bYW5CBSsYEtZzAyOoiUyYIutHwuQPiBQ==","signedAt":"2026-06-19T23:06:02.356Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/inner-ai","artifact":"https://unfragile.ai/inner-ai","verify":"https://unfragile.ai/api/v1/verify?slug=inner-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"}}