{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"monday-ai","slug":"monday-ai","name":"Monday AI","type":"product","url":"https://monday.com/artificial-intelligence","page_url":"https://unfragile.ai/monday-ai","categories":["app-builders","automation"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"monday-ai__cap_0","uri":"capability://automation.workflow.context.aware.task.auto.generation.from.natural.language","name":"context-aware task auto-generation from natural language","description":"Analyzes project context, board structure, and historical task patterns to generate new tasks with appropriate fields, assignees, and due dates from plain English descriptions. Integrates with Monday's data model to understand custom fields, team structure, and project workflows, then maps generated tasks to the correct board columns and automation rules.","intents":["I want to describe a task in plain English and have it automatically created with the right fields filled in","I need to bulk-create related tasks without manually configuring each one","I want the AI to suggest task decomposition based on my project's typical structure"],"best_for":["project managers automating task intake workflows","teams with standardized task structures and custom fields","organizations using Monday as their single source of truth for work"],"limitations":["Accuracy depends on consistency of historical task data — sparse or inconsistent projects produce lower-quality suggestions","Cannot infer custom field logic if naming conventions are non-standard or ambiguous","Limited to Monday's supported field types; complex custom fields may not map correctly","No cross-board context awareness — generates tasks in isolation without understanding dependencies across boards"],"requires":["Monday.com workspace with active board(s)","AI add-on enabled in workspace settings","Sufficient historical task data (10+ tasks recommended for pattern learning)"],"input_types":["natural language text (task description)","project board metadata (fields, columns, automations)"],"output_types":["structured task object (title, description, assignee, due date, custom fields)","Monday.com board item"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"monday-ai__cap_1","uri":"capability://text.generation.language.ai.powered.content.generation.for.task.descriptions.and.updates","name":"ai-powered content generation for task descriptions and updates","description":"Generates rich task descriptions, status update text, and comment content using LLM inference, optionally conditioned on task context (assignee, due date, dependencies, board type). Integrates with Monday's text fields and comment system to populate descriptions with relevant details, formatting, and tone matching project conventions.","intents":["I want to auto-generate detailed task descriptions from a brief outline","I need to write status updates quickly without manually composing them each time","I want to generate templated responses or comments based on task context"],"best_for":["teams with high task volume and repetitive description patterns","non-technical users who struggle with clear task documentation","organizations standardizing on templated task descriptions"],"limitations":["Generated content may lack domain-specific nuance or technical accuracy without explicit context injection","No built-in fact-checking — AI may hallucinate details not present in source data","Tone and style consistency depends on prompt engineering; no fine-tuning on team-specific writing standards","Cannot access external data sources (documentation, wikis) to enrich content generation"],"requires":["Monday.com workspace with AI add-on","Text field or comment section in target board item","Optional: task context data (assignee, labels, dependencies) for conditional generation"],"input_types":["natural language prompt or outline","task metadata (title, labels, assignee, due date)","optional: existing task description or comments"],"output_types":["formatted text (Markdown or plain text)","Monday.com task description or comment"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"monday-ai__cap_10","uri":"capability://planning.reasoning.team.collaboration.insights.and.communication.optimization","name":"team collaboration insights and communication optimization","description":"Analyzes team communication patterns (comments, updates, mentions) to identify collaboration gaps, communication bottlenecks, and knowledge silos. Suggests improvements like adding missing stakeholders to tasks, identifying over-communicated vs under-communicated work, and recommending async communication patterns.","intents":["I want to understand how my team communicates about work","I need to identify tasks that lack sufficient communication or stakeholder visibility","I want to optimize communication patterns to reduce meeting overhead"],"best_for":["team leads improving collaboration","distributed or remote teams optimizing async communication","organizations scaling and needing communication standardization"],"limitations":["Analysis is limited to Monday comments and updates — misses Slack, email, or in-person discussions","Cannot infer communication quality or effectiveness, only volume and patterns","Recommendations are generic to communication best practices; may not align with team culture","No integration with external communication tools (Slack, Teams) for holistic view"],"requires":["Monday.com workspace with AI add-on","30+ days of task comments and update history","Team member data (names, roles)"],"input_types":["task comments and updates","mention patterns (who mentions whom)","task metadata (assignee, status, priority)"],"output_types":["communication pattern analysis (text report)","collaboration recommendations","stakeholder suggestions (who should be added to tasks)","communication bottleneck identification"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"monday-ai__cap_2","uri":"capability://code.generation.editing.formula.and.automation.rule.generation.from.natural.language","name":"formula and automation rule generation from natural language","description":"Translates plain English descriptions of desired calculations or conditional logic into Monday's formula syntax and automation rule configurations. Uses pattern matching and code generation to map user intent (e.g., 'calculate days until deadline') to Monday's formula language and automation triggers/actions, handling field references and data type conversions.","intents":["I want to create a formula that calculates something without learning Monday's formula syntax","I need to set up an automation rule but don't understand the trigger/action configuration","I want to generate a complex multi-step automation from a description of the desired behavior"],"best_for":["non-technical project managers automating calculations","teams avoiding custom development for simple workflow logic","organizations standardizing automation patterns across boards"],"limitations":["Limited to Monday's built-in formula functions and automation triggers — cannot express arbitrary logic","Complex nested conditions or multi-board logic may exceed Monday's automation capabilities","No validation of formula correctness before deployment — incorrect formulas may silently fail or produce wrong results","Cannot generate formulas referencing fields that don't exist; requires manual field creation first"],"requires":["Monday.com workspace with AI add-on","Target board with appropriate field types (numeric, date, status, etc.)","Understanding of desired calculation or automation logic"],"input_types":["natural language description of desired formula or automation","board metadata (available fields, field types, automation triggers)"],"output_types":["Monday formula syntax (e.g., 'DAYS(deadline, TODAY())')","automation rule configuration (trigger, condition, action)"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"monday-ai__cap_3","uri":"capability://planning.reasoning.intelligent.workflow.suggestion.and.optimization","name":"intelligent workflow suggestion and optimization","description":"Analyzes board activity, task completion patterns, and bottlenecks to suggest workflow improvements, column reordering, automation opportunities, and process optimizations. Uses historical data (task cycle time, status transitions, assignment patterns) to identify inefficiencies and recommend changes to board structure or automation rules.","intents":["I want to understand where my team's workflow is bottlenecked","I need suggestions for automating repetitive manual steps in my process","I want to optimize my board structure based on how my team actually works"],"best_for":["team leads optimizing existing workflows","organizations scaling up and needing process standardization","teams with mature Monday usage looking to reduce manual overhead"],"limitations":["Suggestions are based on historical patterns — may not account for temporary anomalies or seasonal variations","Cannot understand implicit team processes or informal workflows not captured in board data","Recommendations are generic to Monday best practices; may not align with industry-specific or company-specific requirements","No A/B testing or impact prediction — suggestions are heuristic-based without validation"],"requires":["Monday.com workspace with 30+ days of task history","AI add-on enabled","Sufficient task volume to identify meaningful patterns (50+ tasks recommended)"],"input_types":["board structure (columns, fields, automations)","historical task data (creation date, status transitions, completion time, assignee changes)"],"output_types":["optimization recommendations (text with rationale)","suggested board reconfigurations","automation rule suggestions"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"monday-ai__cap_4","uri":"capability://text.generation.language.smart.status.update.generation.and.scheduling","name":"smart status update generation and scheduling","description":"Generates contextual status updates for tasks and projects by analyzing recent activity, completion progress, blockers, and upcoming deadlines. Can be scheduled to run automatically on a cadence (daily, weekly) or triggered manually, pulling data from task history and team activity to compose updates without manual writing.","intents":["I want to auto-generate weekly status updates for my team without writing them manually","I need to quickly summarize task progress and blockers for a stakeholder update","I want to schedule automated status generation on a recurring basis"],"best_for":["project managers managing multiple projects","teams with frequent status reporting requirements","organizations standardizing on templated status updates"],"limitations":["Generated updates may miss context-specific blockers or risks not explicitly logged in Monday","Cannot access external communication channels (Slack, email) to incorporate team discussions","Scheduling requires manual setup; no intelligent cadence detection based on project timeline","Updates are text-only; cannot generate visual summaries or charts"],"requires":["Monday.com workspace with AI add-on","Task history and activity data (comments, status changes, updates)","Optional: automation rules for scheduled generation"],"input_types":["board or project data (tasks, status, completion %, blockers)","activity history (comments, status transitions, assignee changes)","optional: custom prompt or template"],"output_types":["formatted status update text","Monday.com update item or comment","scheduled automation rule"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"monday-ai__cap_5","uri":"capability://planning.reasoning.ai.assisted.task.decomposition.and.subtask.generation","name":"ai-assisted task decomposition and subtask generation","description":"Breaks down high-level tasks into granular subtasks with estimated effort, dependencies, and assignments based on task description and project context. Uses NLP to parse task requirements and Monday's historical data to infer typical decomposition patterns for similar task types, generating a subtask hierarchy with appropriate field values.","intents":["I want to break down a large task into subtasks without manually planning the decomposition","I need to estimate effort and dependencies for subtasks automatically","I want to generate a subtask structure that matches my team's typical breakdown patterns"],"best_for":["agile teams managing complex projects","organizations with standardized task decomposition patterns","teams avoiding manual sprint planning overhead"],"limitations":["Decomposition quality depends on task description clarity — vague descriptions produce generic subtasks","Cannot understand domain-specific complexity; effort estimates are heuristic-based","May over-decompose simple tasks or under-decompose complex ones without explicit guidance","No dependency validation — generated subtasks may have circular or missing dependencies"],"requires":["Monday.com workspace with AI add-on","Parent task with clear description","Historical subtask data (30+ decomposed tasks recommended) for pattern learning"],"input_types":["parent task description and metadata","board structure and field definitions","optional: historical subtask patterns"],"output_types":["subtask list with titles, descriptions, effort estimates","dependency graph (if supported)","Monday.com subtask items"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"monday-ai__cap_6","uri":"capability://planning.reasoning.context.aware.task.assignment.and.load.balancing","name":"context-aware task assignment and load balancing","description":"Recommends task assignments based on team member skills, current workload, availability, and task requirements. Analyzes historical assignment patterns, task completion rates by assignee, and current task load to suggest optimal assignments that balance team capacity and skill match.","intents":["I want to assign a task to the best-suited team member without manually checking everyone's workload","I need to balance task distribution across the team automatically","I want to identify team members with capacity for new work"],"best_for":["team leads managing resource allocation","organizations with cross-functional teams","teams with variable workload and skill requirements"],"limitations":["Skill inference is based on historical task assignments — may not reflect actual skills or recent upskilling","Cannot account for informal team dynamics, mentorship relationships, or development goals","Workload calculations are Monday-only; cannot integrate with external time tracking or calendar data","No consideration of task priority or deadline urgency in load balancing"],"requires":["Monday.com workspace with AI add-on","Team member data (names, roles, availability status)","Historical task assignment and completion data (50+ tasks recommended)"],"input_types":["task metadata (title, description, required skills, priority, deadline)","team member data (skills, current workload, availability)","historical assignment patterns"],"output_types":["assignment recommendation (team member name with confidence score)","workload analysis (current tasks per team member)","Monday.com task assignment"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"monday-ai__cap_7","uri":"capability://search.retrieval.ai.powered.search.and.task.discovery.within.boards","name":"ai-powered search and task discovery within boards","description":"Enables semantic search across tasks, descriptions, and comments using natural language queries, returning relevant tasks even if exact keywords don't match. Integrates with Monday's task index to support queries like 'tasks blocked by database issues' or 'high-priority work assigned to Sarah', mapping natural language intent to structured task filters and metadata.","intents":["I want to find tasks matching a description without knowing exact keywords or field values","I need to discover related tasks across multiple boards based on semantic similarity","I want to search for tasks by complex criteria (e.g., 'overdue tasks assigned to backend team')"],"best_for":["teams with large task volumes (1000+ tasks)","organizations with multiple interconnected boards","users searching for tasks across projects"],"limitations":["Search quality depends on task description quality — sparse or poorly-written descriptions reduce recall","Cannot search across external data sources (documentation, Slack, email)","Semantic search may return false positives if task descriptions are ambiguous","No cross-workspace search; limited to single Monday workspace"],"requires":["Monday.com workspace with AI add-on","Indexed task data (descriptions, comments, metadata)","Natural language query input"],"input_types":["natural language search query","optional: filter criteria (assignee, date range, status)"],"output_types":["ranked list of matching tasks with relevance scores","task metadata (title, assignee, status, due date)","snippet of matching text from description or comments"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"monday-ai__cap_8","uri":"capability://planning.reasoning.predictive.task.completion.and.timeline.estimation","name":"predictive task completion and timeline estimation","description":"Predicts task completion dates and identifies at-risk tasks by analyzing historical completion patterns, task complexity signals, and team velocity. Uses regression or time-series models trained on board history to estimate remaining effort and flag tasks likely to miss deadlines.","intents":["I want to predict when a task will be completed based on historical patterns","I need to identify tasks at risk of missing their deadline early","I want to estimate project completion dates based on team velocity"],"best_for":["project managers forecasting timelines","teams with mature Monday usage and consistent task patterns","organizations managing multiple concurrent projects"],"limitations":["Predictions are only as good as historical data — new teams or projects lack sufficient training data","Cannot account for external factors (team absences, scope changes, dependency delays)","Assumes consistent team velocity; predictions degrade if team composition or process changes","No confidence intervals or uncertainty quantification — predictions appear more certain than they are"],"requires":["Monday.com workspace with AI add-on","60+ days of historical task completion data","Consistent task creation and completion patterns"],"input_types":["task metadata (created date, status, current progress, complexity signals)","historical completion data (completion date, actual effort, task type)","team velocity metrics (tasks completed per week)"],"output_types":["predicted completion date with confidence level","risk flag (on-track, at-risk, overdue)","estimated remaining effort","project completion forecast"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"monday-ai__cap_9","uri":"capability://planning.reasoning.intelligent.blocker.detection.and.escalation","name":"intelligent blocker detection and escalation","description":"Automatically identifies blocked or stalled tasks by analyzing task status, comment sentiment, activity patterns, and explicit blocker mentions. Flags tasks stuck in the same status for too long, detects blocker keywords in comments ('blocked by', 'waiting for'), and suggests escalation actions or resolution paths.","intents":["I want to automatically detect tasks that are blocked and need attention","I need to identify stalled work that hasn't progressed in days","I want to escalate blockers to the right people without manual monitoring"],"best_for":["team leads managing task flow and dependencies","organizations with complex interdependencies","teams wanting to reduce manual status monitoring"],"limitations":["Blocker detection relies on explicit mentions in comments — implicit blockers (e.g., waiting for feedback without saying so) are missed","Cannot understand external blockers (vendor delays, third-party dependencies) not logged in Monday","Stall detection thresholds are heuristic-based; may flag false positives for legitimately slow tasks","No automatic resolution suggestions — only flags and escalates"],"requires":["Monday.com workspace with AI add-on","Task history with comments and status transitions","Optional: escalation rules or team member contact data"],"input_types":["task status and activity history","comments and updates","task metadata (created date, due date, assignee)"],"output_types":["blocker detection flag with reason","stall alert (task inactive for N days)","escalation recommendation (person or team to notify)","Monday.com notification or comment"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"monday-ai__headline","uri":"capability://automation.workflow.ai.powered.work.management.platform","name":"ai-powered work management platform","description":"Monday AI integrates advanced AI capabilities into a work management platform, enabling automated task creation, content generation, and workflow optimization tailored to project needs.","intents":["best AI work management tool","AI automation for project management","AI features in task management software","top platforms for AI-driven workflow","AI solutions for team collaboration"],"best_for":[],"limitations":[],"requires":[],"input_types":[],"output_types":[],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":55,"verified":false,"data_access_risk":"high","permissions":["Monday.com workspace with active board(s)","AI add-on enabled in workspace settings","Sufficient historical task data (10+ tasks recommended for pattern learning)","Monday.com workspace with AI add-on","Text field or comment section in target board item","Optional: task context data (assignee, labels, dependencies) for conditional generation","30+ days of task comments and update history","Team member data (names, roles)","Target board with appropriate field types (numeric, date, status, etc.)","Understanding of desired calculation or automation logic"],"failure_modes":["Accuracy depends on consistency of historical task data — sparse or inconsistent projects produce lower-quality suggestions","Cannot infer custom field logic if naming conventions are non-standard or ambiguous","Limited to Monday's supported field types; complex custom fields may not map correctly","No cross-board context awareness — generates tasks in isolation without understanding dependencies across boards","Generated content may lack domain-specific nuance or technical accuracy without explicit context injection","No built-in fact-checking — AI may hallucinate details not present in source data","Tone and style consistency depends on prompt engineering; no fine-tuning on team-specific writing standards","Cannot access external data sources (documentation, wikis) to enrich content generation","Analysis is limited to Monday comments and updates — misses Slack, email, or in-person discussions","Cannot infer communication quality or effectiveness, only volume and patterns","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"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":"2026-05-24T12:16:23.328Z","last_scraped_at":null,"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=monday-ai","compare_url":"https://unfragile.ai/compare?artifact=monday-ai"}},"signature":"iwk6FEVoX5I4FdCfMYdrd1Nd83JhTu2wwiTAS2K3kaGYbLr20Duu+7o3YlERD5wX7wfgRzbInq50I6dDRstxCA==","signedAt":"2026-06-20T20:18:13.751Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/monday-ai","artifact":"https://unfragile.ai/monday-ai","verify":"https://unfragile.ai/api/v1/verify?slug=monday-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"}}