{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-cal-ai","slug":"cal-ai","name":"Cal.ai","type":"product","url":"https://cal.ai","page_url":"https://unfragile.ai/cal-ai","categories":["app-builders"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-cal-ai__cap_0","uri":"capability://text.generation.language.natural.language.meeting.scheduling.with.ai.understanding","name":"natural language meeting scheduling with ai understanding","description":"Processes conversational requests (emails, chat messages, voice) to extract scheduling intent and constraints using LLM-based intent recognition. Parses temporal references, participant mentions, duration hints, and location/format preferences from unstructured text, then maps these to Cal.com's scheduling API to create or propose meetings without manual calendar navigation.","intents":["I want to schedule a meeting by just telling the AI when I'm free instead of clicking through a calendar UI","Extract meeting details from email threads and automatically create calendar events","Let users propose times in natural language and have the system find overlaps with attendees"],"best_for":["Teams using Cal.com who want to reduce scheduling friction","Busy executives who prefer voice/text-based scheduling over UI interaction","Organizations integrating scheduling into existing chat/email workflows"],"limitations":["Accuracy depends on clarity of natural language input — ambiguous requests may require clarification","Timezone handling requires explicit mention or user profile configuration; implicit timezone inference is limited","Cannot handle complex recurring patterns beyond standard recurrence rules (e.g., 'every other Tuesday except holidays')"],"requires":["Cal.com account with API access enabled","LLM provider integration (likely OpenAI or similar for intent parsing)","Calendar data accessible via Cal.com API"],"input_types":["text (email, chat messages)","voice transcription (if voice input supported)"],"output_types":["structured meeting event (title, time, attendees, duration)","calendar invitation","confirmation message"],"categories":["text-generation-language","planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-cal-ai__cap_1","uri":"capability://planning.reasoning.multi.participant.availability.detection.and.conflict.resolution","name":"multi-participant availability detection and conflict resolution","description":"Queries Cal.com calendars for multiple attendees simultaneously, computes intersection of free time slots, and applies conflict resolution logic (e.g., prefer morning slots, minimize timezone burden, respect buffer times). Uses Cal.com's availability API to fetch busy/free blocks and applies algorithmic matching to find optimal meeting windows without manual back-and-forth.","intents":["Find the best time for a meeting with 5+ people across 3 time zones","Automatically suggest meeting times that respect everyone's preferences and buffer requirements","Detect scheduling conflicts before proposing times and suggest alternatives"],"best_for":["Distributed teams across multiple time zones","Organizations with complex scheduling rules (buffer times, meeting-free hours)","Executives coordinating with many stakeholders"],"limitations":["Requires read access to all attendees' calendars — privacy/permission model depends on Cal.com configuration","Cannot optimize for soft constraints (e.g., 'prefer not to schedule after 5pm') without explicit configuration","Performance degrades with >10 attendees or >30-day search windows due to combinatorial slot matching"],"requires":["Cal.com Pro or higher tier with multi-user calendar access","Calendar sharing permissions configured for all attendees","API rate limits sufficient for batch availability queries"],"input_types":["attendee list (email addresses or user IDs)","meeting duration","date range or preferred time windows","optional constraints (timezone preference, buffer times)"],"output_types":["ranked list of available time slots with confidence scores","conflict report showing who is unavailable at proposed times","calendar invitation ready to send"],"categories":["planning-reasoning","automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-cal-ai__cap_2","uri":"capability://text.generation.language.conversational.scheduling.refinement.with.clarification.loops","name":"conversational scheduling refinement with clarification loops","description":"Implements a multi-turn dialogue system where the AI proposes meeting times, detects ambiguity or conflicts in user input, and asks clarifying questions (e.g., 'Do you prefer morning or afternoon?', 'Should I include John from the sales team?'). Uses context from previous messages to refine proposals iteratively without requiring users to restart the scheduling request.","intents":["Have a back-and-forth conversation with the AI to narrow down meeting preferences","Let the AI ask clarifying questions when a scheduling request is ambiguous","Refine a meeting proposal based on feedback without restarting from scratch"],"best_for":["Users who prefer conversational interaction over form-filling","Complex scheduling scenarios with many constraints or participants","Chat-based interfaces (Slack, Teams, email) where context persistence is valuable"],"limitations":["Conversation state must be maintained across turns — requires session management or message history storage","Clarification loops add latency; users expecting instant scheduling may find multi-turn interaction slow","Context window limits may prevent referencing very old messages in long conversations"],"requires":["Stateful conversation management (session store or message history)","LLM with sufficient context window to maintain multi-turn dialogue","Integration with chat platform (Slack, Teams, email) or custom chat interface"],"input_types":["natural language messages (text)","previous conversation history"],"output_types":["clarifying questions","refined meeting proposals","confirmation messages","calendar event"],"categories":["text-generation-language","planning-reasoning","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-cal-ai__cap_3","uri":"capability://text.generation.language.email.based.scheduling.with.automatic.event.extraction","name":"email-based scheduling with automatic event extraction","description":"Monitors incoming emails for scheduling-related language (meeting requests, time proposals, availability statements) and automatically extracts meeting details (proposed times, attendees, duration, location) using NLP. Creates draft calendar events or responds with counter-proposals without requiring users to manually parse email content or switch to calendar UI.","intents":["Automatically create calendar events from meeting request emails","Extract meeting details from email threads and populate calendar invites","Respond to scheduling emails with AI-suggested alternatives when proposed times conflict"],"best_for":["Email-first workflows where users prefer not to switch tools","High-volume scheduling (e.g., recruiting, sales teams receiving many meeting requests)","Organizations with email as the primary communication channel"],"limitations":["Email parsing is fragile — non-standard formats or ambiguous language may fail to extract details","Requires email integration (IMAP, Exchange, or email provider API) which adds complexity and security considerations","Cannot handle implicit scheduling (e.g., 'let's catch up soon') without explicit time/date mentions","Email-based responses may create threading confusion if AI sends counter-proposals"],"requires":["Email provider integration (Gmail, Outlook, etc.) with read/write permissions","NLP model trained on scheduling language patterns","Cal.com API access for event creation"],"input_types":["email message (text, potentially with attachments)"],"output_types":["extracted meeting details (structured JSON)","draft calendar event","email response with counter-proposal or confirmation"],"categories":["text-generation-language","data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-cal-ai__cap_4","uri":"capability://planning.reasoning.scheduling.preference.learning.and.personalization","name":"scheduling preference learning and personalization","description":"Tracks user scheduling patterns (preferred meeting times, duration, attendee groups, location preferences) across multiple scheduling interactions and learns implicit preferences. Uses this learned profile to bias future scheduling recommendations (e.g., preferring morning slots if user historically accepts morning meetings) and reduce clarification questions over time.","intents":["Have the AI learn my scheduling preferences so it suggests better times automatically","Reduce the number of clarifying questions by letting the AI infer my preferences from past behavior","Set scheduling rules once and have them apply automatically to all future meetings"],"best_for":["Power users who schedule frequently and want personalized defaults","Teams with consistent scheduling patterns (e.g., 'always 30-min 1:1s at 2pm')","Organizations wanting to reduce scheduling friction through learned preferences"],"limitations":["Requires sufficient historical data to learn meaningful patterns — new users won't benefit immediately","Learned preferences may become stale if user's schedule or role changes","Privacy consideration: storing scheduling patterns requires secure storage and user consent","Preference conflicts (e.g., 'prefer mornings' vs 'prefer Fridays') require explicit prioritization logic"],"requires":["User interaction history (scheduling requests, accepted/rejected times)","Persistent storage for learned preference profiles","Machine learning model or rule engine to infer and apply preferences"],"input_types":["scheduling request (natural language or structured)","user preference configuration (optional explicit rules)"],"output_types":["biased meeting time recommendations","reduced clarification questions","preference profile (for transparency/editing)"],"categories":["planning-reasoning","memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-cal-ai__cap_5","uri":"capability://tool.use.integration.integration.with.chat.platforms.slack.teams.email.for.in.context.scheduling","name":"integration with chat platforms (slack, teams, email) for in-context scheduling","description":"Embeds scheduling capability directly into chat/email workflows via bot integration or plugins, allowing users to schedule meetings without leaving their communication tool. Implements platform-specific message formatting (Slack blocks, Teams adaptive cards) and handles authentication/permissions for each platform while maintaining Cal.com as the backend.","intents":["Schedule a meeting with someone directly in Slack without opening Cal.com","Have a scheduling bot respond to meeting requests in Teams","Embed scheduling UI in email clients for one-click meeting creation"],"best_for":["Teams already using Slack/Teams as primary communication hub","Organizations wanting to reduce tool-switching friction","Chat-first workflows where calendar context is secondary"],"limitations":["Platform-specific implementations required for each chat tool (Slack, Teams, Discord, etc.)","Message length/formatting constraints may limit scheduling UI complexity","Authentication/permission model varies by platform — requires separate OAuth flows for each","Real-time availability updates in chat may lag behind actual calendar state"],"requires":["Slack/Teams/email bot development framework (e.g., Slack Bolt, Teams SDK)","OAuth integration for each platform","Cal.com API access with appropriate scopes","Webhook infrastructure for receiving platform events"],"input_types":["chat message (text, slash commands, interactive buttons)","platform-specific event (message, reaction, button click)"],"output_types":["formatted chat message with scheduling UI (blocks, cards)","calendar event created in Cal.com","confirmation message in chat"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-cal-ai__cap_6","uri":"capability://planning.reasoning.timezone.aware.scheduling.with.automatic.conversion.and.conflict.detection","name":"timezone-aware scheduling with automatic conversion and conflict detection","description":"Detects participant timezones from user profiles or email domains, automatically converts proposed times to each participant's local timezone, and flags scheduling conflicts caused by timezone misalignment (e.g., 'This time is 11pm for John'). Provides timezone-aware recommendations that minimize burden on participants in extreme timezones.","intents":["Schedule a meeting across 4 time zones without manually converting times","Get warned when a proposed meeting time is unreasonable for someone (e.g., 3am)","Find meeting times that are reasonable for everyone, not just the organizer"],"best_for":["Distributed/remote teams across multiple time zones","Global organizations with participants in extreme timezones (e.g., US + Asia)","Scheduling-heavy roles (recruiters, sales, executives) who coordinate across regions"],"limitations":["Timezone detection requires user profile data or email domain inference — may be inaccurate if users don't set timezone","Daylight saving time transitions can cause confusion; requires timezone database updates","Cannot optimize for 'fairness' across timezones without explicit weighting (e.g., 'rotate who takes the bad time')","Extreme timezone gaps (e.g., US West Coast + Australia) may have no reasonable overlap"],"requires":["User timezone data (from Cal.com profiles or inferred from email domain/IP)","Timezone database (e.g., IANA tzdata) with DST rules","Cal.com API returning timezone-aware availability"],"input_types":["attendee list with timezone information","proposed meeting time (in organizer's timezone or UTC)"],"output_types":["meeting time with local timezone conversions for each attendee","timezone conflict warnings (e.g., 'This is 3am for John')","timezone-optimized time recommendations"],"categories":["planning-reasoning","data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-cal-ai__cap_7","uri":"capability://text.generation.language.recurring.meeting.scheduling.with.pattern.recognition.and.conflict.avoidance","name":"recurring meeting scheduling with pattern recognition and conflict avoidance","description":"Accepts natural language descriptions of recurring meetings (e.g., 'weekly standup every Tuesday at 10am', 'bi-weekly 1:1s') and creates recurring calendar events with proper recurrence rules. Detects conflicts with existing recurring events and suggests alternative patterns if the requested time is unavailable.","intents":["Set up a recurring meeting by describing the pattern in natural language","Detect when a recurring meeting conflicts with existing patterns and suggest alternatives","Automatically create recurring events without manually configuring iCal recurrence rules"],"best_for":["Teams with regular recurring meetings (standups, 1:1s, all-hands)","Managers scheduling recurring 1:1s with multiple reports","Organizations wanting to reduce manual calendar management"],"limitations":["Complex recurrence patterns (e.g., 'every other Tuesday except holidays') require explicit configuration or fail gracefully","Natural language parsing for recurrence is error-prone — ambiguous patterns may be misinterpreted","Conflict detection for recurring events is computationally expensive; may not scale to hundreds of recurring meetings","Timezone handling for recurring events is complex — DST transitions can cause time shifts"],"requires":["NLP model trained on recurrence pattern language","iCal/RFC 5545 recurrence rule generation","Cal.com API supporting recurring event creation","Conflict detection algorithm for recurring event patterns"],"input_types":["natural language recurrence description (e.g., 'weekly on Tuesdays')","meeting details (title, duration, attendees)"],"output_types":["iCal recurrence rule (RRULE)","recurring calendar event","conflict warnings if pattern conflicts with existing events"],"categories":["text-generation-language","planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-cal-ai__cap_8","uri":"capability://memory.knowledge.meeting.notes.and.context.injection.from.previous.interactions","name":"meeting notes and context injection from previous interactions","description":"Retrieves meeting history, notes, and context from Cal.com and external sources (email, chat) to inform scheduling decisions and provide context to participants. When scheduling a follow-up meeting, automatically includes relevant context (e.g., 'This is a follow-up to the Q4 planning discussion') and suggests appropriate attendees based on previous meeting participants.","intents":["Schedule a follow-up meeting and have the AI automatically include context from the previous meeting","Suggest attendees for a new meeting based on who attended related meetings","Include meeting notes or action items from previous discussions in the scheduling context"],"best_for":["Teams with ongoing projects requiring multiple follow-up meetings","Organizations using Cal.com with integrated note-taking (e.g., Notion, OneNote)","Managers coordinating recurring discussions with consistent attendees"],"limitations":["Requires integration with external note-taking/context systems — not all organizations have centralized note storage","Context injection may be noisy if previous meetings are not well-documented","Privacy consideration: accessing meeting notes requires appropriate permissions and audit trails","Attendee suggestions based on history may be outdated if team composition changes"],"requires":["Cal.com API for meeting history and attendee data","Integration with note-taking systems (Notion, OneNote, Google Docs, etc.)","Vector database or semantic search for retrieving relevant context","Permission model for accessing meeting notes"],"input_types":["meeting request or follow-up trigger","previous meeting ID or context query"],"output_types":["meeting context summary","suggested attendee list","draft meeting description with context"],"categories":["memory-knowledge","search-retrieval","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-cal-ai__cap_9","uri":"capability://planning.reasoning.scheduling.with.buffer.time.and.focus.block.management","name":"scheduling with buffer time and focus block management","description":"Respects user-defined buffer times between meetings (e.g., 15-minute breaks for context switching) and protected focus blocks (e.g., 'no meetings 2-4pm for deep work'). Automatically avoids scheduling meetings during these protected times and suggests alternatives that maintain buffer requirements.","intents":["Protect my focus time by preventing meetings from being scheduled during my deep work hours","Ensure there's always a 15-minute buffer between back-to-back meetings","Have the AI suggest meeting times that respect my calendar preferences and buffer requirements"],"best_for":["Knowledge workers wanting to protect focus time","Managers with heavy meeting loads who need buffer time for context switching","Organizations promoting asynchronous work and deep work culture"],"limitations":["Buffer times and focus blocks must be explicitly configured — no automatic detection","Conflicting constraints (e.g., 'no meetings 2-4pm' + 'must meet by 3pm') may have no solution","Buffer enforcement requires read access to full calendar — may conflict with privacy preferences","Users may override buffer rules, creating scheduling debt"],"requires":["User configuration for buffer times and focus blocks","Cal.com API returning full calendar with buffer/focus block metadata","Scheduling algorithm that respects hard constraints (focus blocks) and soft constraints (buffers)"],"input_types":["buffer time duration (e.g., 15 minutes)","focus block schedule (e.g., '2-4pm daily')","meeting request"],"output_types":["meeting time that respects buffers and focus blocks","conflict warning if no suitable time exists","alternative time suggestions"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"high","permissions":["Cal.com account with API access enabled","LLM provider integration (likely OpenAI or similar for intent parsing)","Calendar data accessible via Cal.com API","Cal.com Pro or higher tier with multi-user calendar access","Calendar sharing permissions configured for all attendees","API rate limits sufficient for batch availability queries","Stateful conversation management (session store or message history)","LLM with sufficient context window to maintain multi-turn dialogue","Integration with chat platform (Slack, Teams, email) or custom chat interface","Email provider integration (Gmail, Outlook, etc.) with read/write permissions"],"failure_modes":["Accuracy depends on clarity of natural language input — ambiguous requests may require clarification","Timezone handling requires explicit mention or user profile configuration; implicit timezone inference is limited","Cannot handle complex recurring patterns beyond standard recurrence rules (e.g., 'every other Tuesday except holidays')","Requires read access to all attendees' calendars — privacy/permission model depends on Cal.com configuration","Cannot optimize for soft constraints (e.g., 'prefer not to schedule after 5pm') without explicit configuration","Performance degrades with >10 attendees or >30-day search windows due to combinatorial slot matching","Conversation state must be maintained across turns — requires session management or message history storage","Clarification loops add latency; users expecting instant scheduling may find multi-turn interaction slow","Context window limits may prevent referencing very old messages in long conversations","Email parsing is fragile — non-standard formats or ambiguous language may fail to extract details","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.3,"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":"2026-06-17T09:51:02.371Z","last_scraped_at":"2026-05-03T14:00:10.321Z","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=cal-ai","compare_url":"https://unfragile.ai/compare?artifact=cal-ai"}},"signature":"xGyajc9YP3Jd70xtIG85uJYsVVOVD6P8TxeG5TImlEjkvGDtS+yBsZgPiAtUTJl5WVrMw8qXuBYjEZ612xwSCA==","signedAt":"2026-06-20T07:08:17.776Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/cal-ai","artifact":"https://unfragile.ai/cal-ai","verify":"https://unfragile.ai/api/v1/verify?slug=cal-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"}}