{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_40h","slug":"40h","name":"40h","type":"product","url":"https://40h.io","page_url":"https://unfragile.ai/40h","categories":["automation"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_40h__cap_0","uri":"capability://planning.reasoning.ai.powered.calendar.conflict.detection.and.resolution","name":"ai-powered calendar conflict detection and resolution","description":"Analyzes calendar events across multiple team members' schedules using natural language processing and constraint satisfaction algorithms to identify scheduling conflicts, double-bookings, and suboptimal time slots. The system likely maintains a temporal graph of commitments and applies heuristic-based or optimization-driven matching to suggest alternative meeting times that minimize disruption and respect participant availability patterns, timezone constraints, and meeting duration requirements.","intents":["I need to find a meeting time that works for 8 people across 3 timezones without manually checking everyone's calendar","I want to automatically detect when a participant is double-booked and suggest rescheduling options","I need to identify recurring scheduling conflicts in my team's calendar and get recommendations to resolve them"],"best_for":["Mid-market teams with distributed workforces managing 20+ recurring meetings per week","HR departments coordinating interviews and internal meetings across multiple locations","Project managers juggling complex stakeholder calendars with competing priorities"],"limitations":["Likely requires calendar API integrations (Google Calendar, Outlook) — cannot work with disconnected or proprietary calendar systems","Conflict resolution suggestions may not account for implicit priorities or soft constraints (e.g., 'prefer not to schedule after 5pm') unless explicitly configured","Performance may degrade with very large teams (100+ participants) due to combinatorial explosion of scheduling possibilities"],"requires":["Connected calendar account (Google Workspace, Microsoft 365, or compatible CalDAV provider)","Participant availability data (read access to team members' free/busy status)","Timezone configuration for all participants"],"input_types":["calendar events (iCal format or API-native)","participant list (email addresses or user IDs)","meeting duration and constraints (text or structured metadata)"],"output_types":["structured list of alternative time slots (with confidence scores)","conflict reports (JSON or human-readable format)","rescheduling recommendations with impact analysis"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_40h__cap_1","uri":"capability://planning.reasoning.intelligent.meeting.time.suggestion.with.preference.learning","name":"intelligent meeting time suggestion with preference learning","description":"Learns individual and team scheduling preferences over time through historical calendar analysis, building probabilistic models of optimal meeting windows based on past acceptance patterns, cancellation rates, and explicit user feedback. The system likely uses collaborative filtering or Bayesian inference to predict which proposed times will have the highest acceptance probability, then ranks suggestions accordingly, potentially incorporating factors like meeting type, participant roles, and organizational culture patterns.","intents":["I want the system to learn that my team prefers morning meetings but avoids Fridays after 3pm, and use that to suggest better times","I need to know which proposed meeting time is most likely to be accepted by all participants based on historical patterns","I want to automatically schedule recurring meetings at times that historically have the lowest cancellation rate"],"best_for":["Teams with established scheduling patterns and 6+ months of calendar history","Organizations with strong meeting culture where historical patterns are predictive","HR teams managing high-volume recruiting with repeating interview slot patterns"],"limitations":["Requires sufficient historical data (typically 50+ past meetings per participant) to build accurate preference models — new team members or recently hired staff will have poor suggestions initially","Cannot account for sudden organizational changes (e.g., new policy banning Friday meetings) without explicit retraining or manual override","Privacy concerns: preference learning requires analyzing detailed calendar history, which may violate data governance policies in regulated industries"],"requires":["Minimum 6 weeks of calendar history per participant","Explicit opt-in consent for calendar analysis and preference tracking","Continuous calendar access for ongoing learning"],"input_types":["historical calendar events with acceptance/rejection/cancellation status","participant metadata (role, department, timezone)","explicit preference feedback (user ratings or annotations)"],"output_types":["ranked list of suggested meeting times with acceptance probability scores","preference profiles (JSON representation of learned scheduling patterns)","insights report (e.g., 'Team prefers 10am-11am slots with 87% acceptance rate')"],"categories":["planning-reasoning","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_40h__cap_2","uri":"capability://data.processing.analysis.automated.task.extraction.and.scheduling.from.meeting.context","name":"automated task extraction and scheduling from meeting context","description":"Processes meeting invitations, descriptions, and participant lists to automatically extract action items, deadlines, and task assignments using natural language understanding and entity recognition. The system likely parses meeting titles, agendas, and attendee roles to infer task ownership (e.g., 'Design review with John' → assign design task to John), then creates structured task records with inferred due dates based on meeting timing and implicit urgency signals, integrating with task management systems (Asana, Jira, Todoist) via API.","intents":["I want tasks to be automatically created from meeting agendas without manual data entry","I need to automatically assign tasks to the right person based on their role and the meeting context","I want to set task due dates automatically based on meeting timing and discussion context"],"best_for":["Fast-moving teams that hold frequent meetings and struggle with task tracking overhead","Project-based organizations where meetings frequently generate action items","HR departments managing recruiting pipelines with interview follow-ups and candidate communications"],"limitations":["NLP-based task extraction has inherent accuracy limits — ambiguous or implicit action items may be missed or misattributed (e.g., 'we should discuss pricing' may not be recognized as a task)","Requires integration with downstream task management systems (Asana, Jira, etc.) — standalone task creation without external system sync limits utility","Cannot infer task priority or complexity automatically; requires manual adjustment or explicit priority signals in meeting context"],"requires":["Access to meeting invitations and descriptions (calendar API integration)","Integration with at least one task management system (Asana, Jira, Todoist, Microsoft To Do, etc.)","Participant metadata (email, role, department) for task assignment inference"],"input_types":["meeting title and description (text)","participant list with roles (structured data)","meeting transcript or notes (optional, text)"],"output_types":["structured task records (JSON with title, assignee, due date, description)","task creation events (API calls to downstream task management systems)","extraction confidence scores (for manual review of uncertain assignments)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_40h__cap_3","uri":"capability://automation.workflow.recruitment.pipeline.scheduling.and.candidate.availability.coordination","name":"recruitment pipeline scheduling and candidate availability coordination","description":"Extends core scheduling capabilities to manage interview pipelines by automating candidate availability collection, interview slot allocation, and interviewer coordination across multiple rounds. The system likely maintains a candidate state machine (applied → screening → interview round 1/2/3 → offer), automatically suggests interview times based on candidate availability windows and interviewer calendars, and sends coordinated scheduling invitations to all parties. May include integration with ATS (Applicant Tracking System) platforms to pull candidate data and push scheduling outcomes.","intents":["I need to coordinate interviews across 4 interviewers and a candidate across 3 timezones without manual back-and-forth","I want to automatically collect candidate availability and find slots that work for all interviewers","I need to track interview scheduling status and automatically send reminders to candidates and interviewers"],"best_for":["Mid-market HR departments managing 50+ active candidates in interview pipeline","Recruiting teams using ATS platforms (Greenhouse, Lever, Workable) that need scheduling automation","Organizations with multi-round interview processes requiring coordination across many stakeholders"],"limitations":["Requires ATS integration — standalone use without ATS connection limits ability to pull candidate data and track pipeline status","Candidate availability collection depends on candidate responsiveness — no built-in mechanism to handle non-responsive candidates or availability conflicts","Interview scheduling logic may not account for interview type-specific constraints (e.g., technical interviews require specific time blocks, panel interviews need all interviewers available simultaneously)"],"requires":["Connected ATS platform (Greenhouse, Lever, Workable, or compatible system) or manual candidate data entry","Interviewer calendar access (Google Calendar, Outlook, or compatible)","Candidate contact information (email for availability collection)"],"input_types":["candidate profile data (name, email, role applied for, interview stage)","interviewer list with availability (calendar data)","interview round configuration (duration, required participants, type)"],"output_types":["candidate availability survey (email with time slot options)","interview scheduling recommendations (ranked by interviewer availability and candidate preferences)","interview confirmation emails (to candidates and interviewers)","pipeline status updates (to ATS or internal tracking system)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_40h__cap_4","uri":"capability://data.processing.analysis.productivity.analytics.and.scheduling.insights.dashboard","name":"productivity analytics and scheduling insights dashboard","description":"Aggregates calendar and task data to generate insights about team productivity patterns, meeting load, and time allocation. The system likely computes metrics such as meeting hours per week, meeting-free focus time blocks, task completion rates, and scheduling efficiency (e.g., percentage of proposed times accepted on first suggestion). May use time-series analysis to identify trends (e.g., increasing meeting load) and generate recommendations (e.g., 'implement no-meeting Wednesdays'). Visualizations likely include heatmaps of busy times, meeting type breakdowns, and individual vs. team comparisons.","intents":["I want to see how much time my team spends in meetings vs. focused work","I need to identify which team members are over-scheduled and need workload rebalancing","I want to track whether our scheduling improvements (e.g., shorter meetings) are actually reducing meeting load over time"],"best_for":["Engineering and product leaders optimizing team productivity and meeting culture","HR departments analyzing hiring efficiency and interview scheduling effectiveness","Organizations implementing 'meeting reduction' initiatives and needing data to track progress"],"limitations":["Analytics are descriptive (what happened) rather than prescriptive (what to do) — insights require human interpretation and decision-making","Metrics are only as good as underlying data — if calendar entries are incomplete or task tracking is inconsistent, analytics will be misleading","Privacy concerns: detailed productivity analytics may be perceived as surveillance, requiring clear communication about data usage and aggregation"],"requires":["Continuous calendar and task data access (minimum 4 weeks of history for meaningful trends)","Participant consent for productivity analytics (especially if individual-level metrics are exposed)","Integration with task management system for task completion data (optional but recommended)"],"input_types":["calendar events (duration, type, participants)","task data (creation date, completion date, assignee)","user metadata (role, department, team)"],"output_types":["dashboard visualizations (heatmaps, time-series charts, bar charts)","summary metrics (meeting hours/week, focus time blocks, task completion rate)","trend reports (e.g., 'meeting load increased 15% month-over-month')","recommendations (text-based insights, e.g., 'implement no-meeting Fridays')"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_40h__cap_5","uri":"capability://tool.use.integration.multi.calendar.synchronization.and.conflict.prevention.across.platforms","name":"multi-calendar synchronization and conflict prevention across platforms","description":"Maintains real-time synchronization of calendar events across multiple calendar providers (Google Calendar, Outlook, Apple Calendar, etc.) while preventing double-booking and ensuring consistency. The system likely implements a calendar abstraction layer that translates between different calendar APIs, detects conflicts when events are created in one system but not yet synced to others, and applies conflict resolution rules (e.g., 'block time in all calendars when meeting is confirmed'). May use webhooks or polling to detect changes and propagate updates with minimal latency.","intents":["I use both Google Calendar and Outlook and need to ensure meetings don't double-book across both systems","I want to block time in my personal calendar when I accept a work meeting invitation","I need to ensure that when I decline a meeting in one calendar app, it's reflected everywhere"],"best_for":["Users with multiple calendar accounts (personal, work, multiple organizations)","Teams using mixed calendar platforms (some on Google Workspace, some on Microsoft 365)","Organizations with strict calendar governance requirements (e.g., all meetings must be logged in corporate calendar)"],"limitations":["Calendar API rate limits and eventual consistency windows mean real-time sync is not guaranteed — conflicts may occur during sync delays (typically 1-5 minutes)","Different calendar systems have different event models (e.g., Outlook supports categories, Google Calendar doesn't) — some metadata may be lost in translation","Requires API access to all calendar systems — cannot work with calendar systems that don't expose APIs (e.g., some legacy enterprise systems)"],"requires":["API credentials for all calendar systems to be synchronized (Google Calendar API, Microsoft Graph, CalDAV, etc.)","Continuous network connectivity for real-time sync","User consent to access and modify calendar events across all systems"],"input_types":["calendar event data (from multiple providers)","sync configuration (which calendars to sync, conflict resolution rules)","user preferences (e.g., 'always sync to corporate calendar')"],"output_types":["synchronized calendar events (across all connected systems)","conflict alerts (when double-booking is detected)","sync status reports (which events are synced, any failures)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_40h__cap_6","uri":"capability://text.generation.language.natural.language.meeting.scheduling.via.chat.interface","name":"natural language meeting scheduling via chat interface","description":"Allows users to schedule meetings using conversational natural language (e.g., 'Schedule a 1-hour meeting with John and Sarah next Tuesday at 2pm') processed through a conversational AI interface. The system likely uses intent recognition to extract meeting parameters (participants, duration, time, date), validates against calendar availability, and either auto-confirms or presents options for user approval. May support follow-up clarifications (e.g., 'What time works for John?') through multi-turn conversation.","intents":["I want to schedule a meeting by typing a natural language request instead of clicking through a calendar UI","I need to quickly check if a proposed time works for multiple people without opening their calendars","I want to schedule a meeting via chat while I'm in a conversation with the participants"],"best_for":["Users who prefer conversational interfaces over traditional calendar UIs","Teams using chat platforms (Slack, Microsoft Teams) as primary communication hub","Mobile-first users who find calendar UIs cumbersome on small screens"],"limitations":["Natural language understanding has inherent ambiguity — 'next Tuesday' is ambiguous if today is Monday, and 'afternoon' may be interpreted differently by different users","Requires explicit confirmation for complex scheduling scenarios (e.g., recurring meetings with exceptions) — conversational interface may become cumbersome","Integration with chat platforms (Slack, Teams) may be required for seamless UX, adding dependency on third-party platform APIs"],"requires":["Chat platform integration (Slack, Microsoft Teams, or native chat interface)","Calendar API access to check availability and create events","NLP model trained on scheduling-specific language patterns"],"input_types":["natural language text (meeting request in conversational format)","participant mentions (e.g., '@john @sarah')","calendar context (current date/time for relative date parsing)"],"output_types":["meeting confirmation (text confirmation with details)","calendar event (created in connected calendar system)","clarification questions (if ambiguity is detected)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_40h__cap_7","uri":"capability://planning.reasoning.recurring.meeting.optimization.and.pattern.based.rescheduling","name":"recurring meeting optimization and pattern-based rescheduling","description":"Analyzes recurring meetings to identify optimization opportunities (e.g., meetings that could be shorter, less frequent, or consolidated with other meetings). The system likely detects patterns in meeting attendance (e.g., 'half the team never attends'), duration usage (e.g., '30-minute slot always ends in 15 minutes'), and scheduling conflicts with other recurring meetings. Generates recommendations to optimize recurring meetings (e.g., 'reduce from weekly to bi-weekly', 'consolidate with team standup') and can auto-apply changes with team approval.","intents":["I want to identify recurring meetings that could be eliminated or shortened to reduce meeting load","I need to find recurring meetings that conflict with other important activities and reschedule them","I want to consolidate overlapping recurring meetings (e.g., two team syncs that cover similar topics)"],"best_for":["Organizations implementing 'meeting reduction' or 'meeting-free time' initiatives","Teams with high meeting load (20+ hours/week) seeking to optimize calendar","Managers responsible for team productivity and meeting culture"],"limitations":["Optimization recommendations are based on historical patterns and may not account for business context (e.g., a low-attendance meeting may be strategically important despite low attendance)","Rescheduling recurring meetings requires coordination across many participants — automated rescheduling may cause disruption if not carefully managed","Cannot detect implicit meeting value (e.g., 'this meeting is important for team morale') — only explicit metrics like attendance and duration"],"requires":["Minimum 8-12 weeks of recurring meeting history for pattern detection","Participant attendance data (who actually attends vs. who is invited)","Meeting duration and actual usage data (how long meetings actually run)"],"input_types":["recurring meeting definitions (frequency, duration, participants)","historical meeting instances (actual attendance, duration)","calendar context (other meetings, focus time blocks)"],"output_types":["optimization recommendations (e.g., 'reduce frequency from weekly to bi-weekly')","impact analysis (e.g., 'saves 2 hours/week for team')","rescheduling proposals (alternative times for recurring meetings)","approval workflow (for team to accept/reject recommendations)"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"high","permissions":["Connected calendar account (Google Workspace, Microsoft 365, or compatible CalDAV provider)","Participant availability data (read access to team members' free/busy status)","Timezone configuration for all participants","Minimum 6 weeks of calendar history per participant","Explicit opt-in consent for calendar analysis and preference tracking","Continuous calendar access for ongoing learning","Access to meeting invitations and descriptions (calendar API integration)","Integration with at least one task management system (Asana, Jira, Todoist, Microsoft To Do, etc.)","Participant metadata (email, role, department) for task assignment inference","Connected ATS platform (Greenhouse, Lever, Workable, or compatible system) or manual candidate data entry"],"failure_modes":["Likely requires calendar API integrations (Google Calendar, Outlook) — cannot work with disconnected or proprietary calendar systems","Conflict resolution suggestions may not account for implicit priorities or soft constraints (e.g., 'prefer not to schedule after 5pm') unless explicitly configured","Performance may degrade with very large teams (100+ participants) due to combinatorial explosion of scheduling possibilities","Requires sufficient historical data (typically 50+ past meetings per participant) to build accurate preference models — new team members or recently hired staff will have poor suggestions initially","Cannot account for sudden organizational changes (e.g., new policy banning Friday meetings) without explicit retraining or manual override","Privacy concerns: preference learning requires analyzing detailed calendar history, which may violate data governance policies in regulated industries","NLP-based task extraction has inherent accuracy limits — ambiguous or implicit action items may be missed or misattributed (e.g., 'we should discuss pricing' may not be recognized as a task)","Requires integration with downstream task management systems (Asana, Jira, etc.) — standalone task creation without external system sync limits utility","Cannot infer task priority or complexity automatically; requires manual adjustment or explicit priority signals in meeting context","Requires ATS integration — standalone use without ATS connection limits ability to pull candidate data and track pipeline status","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"ecosystem":0.2,"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":"2026-05-24T12:16:28.696Z","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=40h","compare_url":"https://unfragile.ai/compare?artifact=40h"}},"signature":"pvhxr25YvZh4DYmC+Eu6vpClYn5WOsi/kOQREetdxL4ah/hetKxgpx6980xeZFxxkPOFmMmyOwqLd0z0XY+2BQ==","signedAt":"2026-06-21T11:33:29.667Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/40h","artifact":"https://unfragile.ai/40h","verify":"https://unfragile.ai/api/v1/verify?slug=40h","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"}}