{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_timeto","slug":"timeto","name":"TimeTo","type":"product","url":"https://timeto.morgen.so","page_url":"https://unfragile.ai/timeto","categories":["automation"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_timeto__cap_0","uri":"capability://automation.workflow.multi.calendar.availability.aggregation.and.conflict.detection","name":"multi-calendar availability aggregation and conflict detection","description":"Aggregates real-time availability data from multiple calendar sources (Gmail, Outlook, Exchange, etc.) unified through Morgen's calendar abstraction layer, then performs cross-calendar conflict detection by analyzing busy/free slots across all connected calendars simultaneously. Uses a normalized time-slot representation to handle timezone differences and recurring event expansion, enabling detection of scheduling conflicts that would be invisible when viewing calendars in isolation.","intents":["I need to find meeting times that work across my team's fragmented calendars without manually checking each person's availability","I want to automatically detect when a proposed meeting time conflicts with any of my connected calendars","I need to see availability for participants across different calendar systems (Gmail, Outlook, etc.) in a single view"],"best_for":["Remote teams using multiple calendar providers (Gmail, Outlook, Exchange)","Meeting organizers managing 5+ participants with fragmented calendar access","Organizations with hybrid calendar infrastructure across departments"],"limitations":["Requires OAuth/API access to all participant calendars — cannot detect availability for participants who haven't granted access","Timezone handling depends on calendar event metadata accuracy — events without explicit timezone data may cause false conflicts","Real-time availability updates have latency of 30-60 seconds due to calendar API polling intervals","Cannot detect soft conflicts (e.g., 'back-to-back meetings with travel time') without explicit buffer configuration"],"requires":["Active Morgen account with calendar integrations configured","OAuth permissions granted for all participant calendars","Participant calendars must support free/busy API queries (most modern providers do)"],"input_types":["calendar event metadata (start time, end time, attendees, timezone)","participant email addresses or calendar identifiers","meeting duration requirement"],"output_types":["structured availability slots (time ranges with conflict status)","conflict report (which calendars have conflicts at proposed time)","recommended meeting time windows ranked by participant availability"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_timeto__cap_1","uri":"capability://planning.reasoning.ai.powered.meeting.time.suggestion.with.timezone.aware.optimization","name":"ai-powered meeting time suggestion with timezone-aware optimization","description":"Uses language model inference to analyze participant availability patterns, timezone constraints, and meeting context to generate ranked meeting time suggestions that minimize scheduling friction. The system evaluates candidate time slots against multiple optimization criteria (participant count available, timezone spread, proximity to existing meetings, meeting duration fit) and returns suggestions ordered by likelihood of acceptance. Integrates with Morgen's calendar data to understand historical scheduling patterns and participant preferences.","intents":["I want the system to suggest the best meeting times automatically instead of me proposing multiple options","I need meeting time suggestions that account for timezone differences across global teams","I want to reduce back-and-forth scheduling emails by getting AI-ranked suggestions that most participants can accept"],"best_for":["Global teams with participants across 3+ time zones","Meeting organizers scheduling 5+ participants where finding consensus is time-consuming","Asynchronous-first teams that want to minimize synchronous meeting overhead"],"limitations":["Suggestions are based on calendar availability only — cannot factor in meeting context, priority, or soft preferences unless explicitly provided","Model may over-optimize for timezone balance at the expense of participant preference (e.g., suggesting 6 AM slot because it's 'fair' across zones)","Requires sufficient historical calendar data to learn participant patterns — new users get generic suggestions until 2-4 weeks of data accumulates","Cannot detect or avoid 'meeting fatigue' patterns (e.g., participant has 6 consecutive meetings) without explicit configuration"],"requires":["Active Morgen account with calendar integrations","Participant availability data from aggregated calendars","Meeting context (duration, required participants, optional participants)"],"input_types":["meeting title and description","required participant list","optional participant list","meeting duration","timezone constraints or preferences","date range for suggestions"],"output_types":["ranked list of suggested meeting times (typically 3-5 options)","confidence score per suggestion (percentage of participants available)","timezone impact analysis (which zones are inconvenient for each suggestion)","explanation of why each suggestion was ranked (e.g., '85% availability, all zones covered')"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_timeto__cap_2","uri":"capability://automation.workflow.task.to.calendar.integration.with.intelligent.time.blocking","name":"task-to-calendar integration with intelligent time-blocking","description":"Bridges task management systems (Morgen's integrated task layer or external tools) with calendar scheduling by automatically creating time-blocked calendar events for tasks based on estimated duration, priority, and calendar availability. Uses a scheduling algorithm that finds optimal time slots for task blocks by analyzing calendar fragmentation, meeting density, and task dependencies. Supports recurring task scheduling and can adjust time blocks based on actual task completion patterns.","intents":["I want my tasks to automatically appear as calendar blocks so I actually have time to work on them","I need the system to find the best time to schedule deep work blocks around my meetings","I want to prevent over-scheduling by having tasks claim calendar time before meetings are added"],"best_for":["Knowledge workers juggling 20+ tasks per week with fragmented calendar","Teams implementing time-blocking methodology who want automation","Individuals with high meeting load (10+ meetings/week) who struggle to find focus time"],"limitations":["Task duration estimates must be manually provided or learned from historical completion data — no automatic estimation from task description","Cannot handle task dependencies or blocking relationships — treats each task as independently schedulable","Time blocks are created as calendar events but don't prevent meeting scheduling over them (requires calendar permissions to mark as 'busy' or 'focus time')","Recurring task scheduling is limited to simple patterns (daily, weekly, monthly) — no support for complex recurrence rules","No integration with actual task completion tracking — cannot adjust future scheduling based on whether tasks actually completed in allocated time"],"requires":["Active Morgen account with calendar and task integrations","Task list with duration estimates","Calendar write permissions to create time-block events"],"input_types":["task title and description","estimated duration","priority level","due date or deadline","task category or project","recurrence pattern (if recurring)"],"output_types":["calendar event created for task time block","scheduling confirmation with allocated time slot","conflict notification if no suitable time slot found","alternative scheduling suggestions if preferred time unavailable"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_timeto__cap_3","uri":"capability://memory.knowledge.meeting.preparation.and.context.injection","name":"meeting preparation and context injection","description":"Automatically gathers and surfaces relevant context for upcoming meetings by querying Morgen's integrated data sources (calendar event details, participant information, related tasks, relevant documents from connected tools). Uses semantic matching to identify related tasks, emails, or documents that should be reviewed before the meeting. Injects this context into the meeting event as a pre-meeting brief that updates as new relevant information arrives.","intents":["I want to quickly see all relevant context for a meeting without manually searching for related emails and documents","I need to know what tasks are related to each meeting so I can prepare properly","I want automatic reminders about action items from previous meetings with the same participants"],"best_for":["Professionals with 10+ meetings per week who need quick context switching","Teams with recurring meetings where context from previous sessions is valuable","Organizations using Morgen's document and task integrations extensively"],"limitations":["Context injection depends on semantic matching accuracy — may miss relevant documents if they use different terminology than meeting title","Requires integrations with document storage (Google Drive, OneDrive, etc.) — context is limited to connected sources","No automatic action item tracking from meeting notes — requires manual note-taking or external meeting recording integration","Context updates are asynchronous — may not reflect real-time changes to related tasks or documents until next sync cycle (typically 5-15 minutes)"],"requires":["Active Morgen account with calendar integrations","Document storage integrations configured (Google Drive, OneDrive, etc.)","Task management integration enabled"],"input_types":["calendar event (meeting title, participants, description)","meeting date and time","participant email addresses"],"output_types":["pre-meeting brief (structured context document)","related tasks list","relevant documents with preview","previous meeting notes with same participants","action items from previous meetings"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_timeto__cap_4","uri":"capability://automation.workflow.scheduling.policy.enforcement.and.constraint.management","name":"scheduling policy enforcement and constraint management","description":"Enforces organizational scheduling policies (e.g., 'no meetings before 9 AM', 'maximum 2 hours of meetings per day', 'Friday afternoons reserved for focus time') by validating proposed meeting times against configured constraints before scheduling. Implements constraint satisfaction as a filtering layer that rejects or suggests alternatives for meetings that violate policies. Supports both hard constraints (absolute rules) and soft constraints (preferences that can be overridden with justification).","intents":["I want to enforce team-wide scheduling policies without manually checking each meeting","I need to prevent meeting scheduling during designated focus time or no-meeting windows","I want to limit meeting load per person per day to prevent burnout"],"best_for":["Organizations implementing meeting-free time policies","Teams with distributed schedules that need timezone-aware constraints","Companies focused on employee wellbeing and meeting load management"],"limitations":["Constraints are enforced at scheduling time only — cannot retroactively prevent meetings already on calendar","No enforcement of soft constraints across the organization — relies on individual adoption and policy awareness","Complex constraint interactions (e.g., 'no more than 2 hours of meetings AND no back-to-back meetings') may produce unexpected results","Override justification is logged but not automatically escalated or reviewed — enforcement depends on team discipline"],"requires":["Active Morgen account with admin/policy configuration access","Calendar write permissions to validate and suggest alternatives","Team agreement on scheduling policies"],"input_types":["scheduling policy rules (time windows, duration limits, frequency limits)","constraint type (hard or soft)","exception rules (e.g., 'all-hands meetings override focus time')","participant or team scope for policy"],"output_types":["policy validation result (pass/fail/warning)","constraint violation details if applicable","alternative meeting times that comply with policies","override justification if constraint is bypassed"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_timeto__cap_5","uri":"capability://planning.reasoning.meeting.series.optimization.and.recurring.meeting.analysis","name":"meeting series optimization and recurring meeting analysis","description":"Analyzes patterns in recurring meetings (standup, 1-on-1s, team syncs) to identify optimization opportunities such as consolidation, time shifting, or format changes. Uses historical attendance data, participant engagement signals, and calendar fragmentation metrics to recommend improvements. Can automatically reschedule recurring meetings to better time slots if all participants agree, or suggest format changes (e.g., 'convert to async update') based on meeting effectiveness analysis.","intents":["I want to identify recurring meetings that could be consolidated or eliminated","I need to find better times for recurring meetings that currently conflict with focus time","I want to understand which recurring meetings are actually valuable vs. time-wasting"],"best_for":["Teams with 10+ recurring meetings per week","Organizations conducting meeting audits or optimization initiatives","Managers responsible for team productivity and meeting load reduction"],"limitations":["Effectiveness analysis depends on engagement signals (e.g., camera on, chat participation) which may not be available or reliable","Recommendations to consolidate or eliminate meetings require team consensus — system cannot unilaterally change recurring meetings","Historical data requirements: needs 4-8 weeks of meeting history to identify reliable patterns","Cannot measure actual business impact of meetings — only analyzes scheduling efficiency and attendance patterns"],"requires":["Active Morgen account with calendar integrations","4+ weeks of historical calendar data for pattern analysis","Participant engagement data (if available from video conferencing integration)"],"input_types":["recurring meeting series (title, frequency, participants, duration)","historical meeting data (attendance, duration, engagement metrics)","optimization goals (reduce meeting load, consolidate, improve timing)"],"output_types":["recurring meeting analysis report (frequency, total time, participant overlap)","optimization recommendations (consolidate, reschedule, eliminate, change format)","impact projection (estimated time saved if recommendations implemented)","alternative scheduling options for recurring meetings"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_timeto__cap_6","uri":"capability://memory.knowledge.participant.availability.learning.and.preference.modeling","name":"participant availability learning and preference modeling","description":"Builds participant-specific availability models by analyzing historical calendar patterns, scheduling preferences, and timezone information. Learns individual preferences (e.g., 'prefers morning meetings', 'blocks Friday afternoons', 'rarely available before 10 AM in their timezone') and uses these models to improve meeting time suggestions and conflict detection. Updates models continuously as new scheduling data arrives, enabling increasingly accurate predictions over time.","intents":["I want the system to learn my scheduling preferences and suggest times that work for me","I need the system to understand timezone preferences for each participant, not just their calendar","I want meeting suggestions that respect individual preferences without requiring manual configuration"],"best_for":["Teams with recurring participants where preference learning provides value","Global teams with complex timezone dynamics","Organizations using TimeTo for 2+ months where historical data enables accurate modeling"],"limitations":["Models require 4-8 weeks of historical data to become reliable — new participants get generic suggestions initially","Preference learning is based on calendar patterns only — cannot detect soft preferences (e.g., 'prefers not to meet on Mondays') without explicit configuration","Models may overfit to recent patterns and miss seasonal variations (e.g., summer vacation periods)","Privacy considerations: preference models are participant-specific and may reveal scheduling patterns that individuals prefer not to expose"],"requires":["Active Morgen account with calendar integrations","4+ weeks of historical calendar data per participant","Continuous calendar sync to update models"],"input_types":["historical calendar events (start time, end time, timezone, participant)","explicit preference configuration (optional)","timezone information per participant"],"output_types":["participant availability profile (preferred times, timezone, patterns)","preference confidence scores (how reliable the learned preferences are)","scheduling recommendations based on learned preferences","preference change alerts (e.g., 'participant's availability pattern changed')"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_timeto__cap_7","uri":"capability://data.processing.analysis.meeting.notes.and.action.item.extraction.from.calendar.context","name":"meeting notes and action item extraction from calendar context","description":"Automatically extracts and surfaces action items from meeting notes, emails, and calendar event descriptions associated with scheduled meetings. Uses natural language processing to identify action items (tasks with owners and deadlines), decisions made, and follow-up items. Integrates extracted action items back into Morgen's task system and creates reminders for owners. Maintains a searchable history of action items per meeting series or participant.","intents":["I want action items from meetings to automatically become tasks without manual entry","I need to track follow-ups from recurring meetings with the same participants","I want to see all action items assigned to me across all meetings in one place"],"best_for":["Teams with meeting notes in calendar event descriptions or integrated note-taking tools","Organizations using Morgen's task system and wanting to close the meeting-to-task loop","Managers tracking action items across multiple team meetings"],"limitations":["Action item extraction accuracy depends on note quality and structure — unstructured notes may produce false positives or missed items","Requires meeting notes to be in calendar event descriptions or connected note-taking tools — cannot extract from external note systems without integration","Owner assignment relies on name matching or explicit mention — may fail if action items use pronouns or unclear references","No automatic deadline inference — extracted action items default to meeting date unless explicitly mentioned in notes"],"requires":["Active Morgen account with calendar and task integrations","Meeting notes in calendar event descriptions or connected note-taking tool","Task system integration enabled"],"input_types":["meeting notes (text, structured or unstructured)","calendar event metadata (participants, date, title)","meeting recording transcript (if available)"],"output_types":["extracted action items (task title, owner, deadline)","action item confidence scores","created tasks in Morgen task system","action item history per meeting series","owner assignment notifications"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_timeto__cap_8","uri":"capability://data.processing.analysis.calendar.based.workload.balancing.and.meeting.load.analytics","name":"calendar-based workload balancing and meeting load analytics","description":"Analyzes meeting load distribution across team members and time periods to identify imbalances and overload situations. Calculates metrics such as 'meetings per day', 'meeting-free time blocks', 'context-switching frequency', and 'calendar fragmentation'. Provides dashboards and reports showing workload distribution and can recommend load rebalancing (e.g., 'move this meeting from overloaded person to less-loaded person'). Integrates with scheduling constraints to ensure rebalancing respects policies.","intents":["I want to see which team members are overloaded with meetings","I need to understand meeting load distribution across my team","I want recommendations for rebalancing meetings to reduce overload"],"best_for":["Managers responsible for team workload and wellbeing","Organizations implementing meeting load management initiatives","Teams with uneven meeting distribution across members"],"limitations":["Workload analysis is based on calendar data only — cannot account for actual work time, focus time, or task complexity","Meeting load metrics don't account for meeting importance or value — treats all meetings equally","Rebalancing recommendations may not be feasible if meetings require specific participants","Privacy considerations: detailed workload analytics may reveal individual scheduling patterns that some team members prefer not to expose"],"requires":["Active Morgen account with team calendar visibility","Calendar data for all team members (requires appropriate permissions)","Admin or manager access to view team-level analytics"],"input_types":["team member calendars","meeting data (participants, duration, frequency)","time period for analysis (week, month, quarter)"],"output_types":["meeting load metrics per person (meetings/day, meeting hours/week, etc.)","workload distribution dashboard","overload alerts (person exceeds meeting load threshold)","rebalancing recommendations with impact analysis","trend reports (meeting load over time)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_timeto__cap_9","uri":"capability://planning.reasoning.meeting.format.recommendation.and.async.alternative.suggestion","name":"meeting format recommendation and async alternative suggestion","description":"Analyzes meeting characteristics (participant count, duration, frequency, content type) and recommends format changes such as converting synchronous meetings to asynchronous updates, reducing meeting duration, or changing meeting cadence. Uses historical effectiveness data (participant engagement, decision outcomes, follow-up actions) to identify meetings that could be more efficient in different formats. Provides templates and workflows for converting meetings to async formats.","intents":["I want to identify meetings that could be async instead of synchronous","I need to reduce meeting duration without losing effectiveness","I want recommendations on how to restructure recurring meetings for better efficiency"],"best_for":["Organizations implementing async-first or hybrid work policies","Teams with high meeting load looking to reduce synchronous time","Managers optimizing team communication and meeting effectiveness"],"limitations":["Format recommendations depend on meeting content and purpose — system may not understand nuanced reasons for synchronous meetings","Effectiveness analysis requires engagement data which may not be available for all meetings","Converting meetings to async requires organizational buy-in and workflow changes — system can only recommend, not enforce","Some meeting types (e.g., brainstorming, crisis response) may not be suitable for async conversion regardless of data"],"requires":["Active Morgen account with calendar integrations","Historical meeting data (attendance, engagement, outcomes)","Optional: video conferencing integration for engagement signals"],"input_types":["meeting metadata (title, participants, duration, frequency, description)","historical meeting data (attendance, engagement metrics)","meeting purpose or category"],"output_types":["format recommendation (sync vs async, duration change, cadence change)","effectiveness analysis (why this format is recommended)","async workflow template (if converting to async)","implementation guide for format change","projected impact (time saved, engagement improvement)"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":43,"verified":false,"data_access_risk":"high","permissions":["Active Morgen account with calendar integrations configured","OAuth permissions granted for all participant calendars","Participant calendars must support free/busy API queries (most modern providers do)","Active Morgen account with calendar integrations","Participant availability data from aggregated calendars","Meeting context (duration, required participants, optional participants)","Active Morgen account with calendar and task integrations","Task list with duration estimates","Calendar write permissions to create time-block events","Document storage integrations configured (Google Drive, OneDrive, etc.)"],"failure_modes":["Requires OAuth/API access to all participant calendars — cannot detect availability for participants who haven't granted access","Timezone handling depends on calendar event metadata accuracy — events without explicit timezone data may cause false conflicts","Real-time availability updates have latency of 30-60 seconds due to calendar API polling intervals","Cannot detect soft conflicts (e.g., 'back-to-back meetings with travel time') without explicit buffer configuration","Suggestions are based on calendar availability only — cannot factor in meeting context, priority, or soft preferences unless explicitly provided","Model may over-optimize for timezone balance at the expense of participant preference (e.g., suggesting 6 AM slot because it's 'fair' across zones)","Requires sufficient historical calendar data to learn participant patterns — new users get generic suggestions until 2-4 weeks of data accumulates","Cannot detect or avoid 'meeting fatigue' patterns (e.g., participant has 6 consecutive meetings) without explicit configuration","Task duration estimates must be manually provided or learned from historical completion data — no automatic estimation from task description","Cannot handle task dependencies or blocking relationships — treats each task as independently schedulable","builder identity is not verified yet","no observed match outcomes 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