{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-floode","slug":"floode","name":"Floode","type":"agent","url":"https://floodehq.com/","page_url":"https://unfragile.ai/floode","categories":["ai-agents"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-floode__cap_0","uri":"capability://text.generation.language.email.thread.summarization.and.response.drafting","name":"email thread summarization and response drafting","description":"Automatically analyzes incoming email threads to extract key decisions, action items, and context, then generates contextually appropriate draft responses. Uses natural language understanding to identify conversation threads, sentiment, and urgency signals, feeding these into a language model that produces human-reviewed drafts matching the sender's communication style.","intents":["I want to quickly understand what action is needed from a long email thread without reading it all","I need draft responses to emails that maintain my tone and address all points raised","I want to batch-process email responses instead of handling them one-by-one"],"best_for":["Executives and managers receiving 50+ emails daily","Teams with shared inboxes needing consistent response quality","Organizations standardizing communication patterns across departments"],"limitations":["Requires email account integration (OAuth or IMAP) — not all email providers equally supported","Draft quality depends on training data; may miss nuanced context in highly specialized domains","No real-time processing — operates on batches or scheduled intervals, not live inbox streaming","Cannot handle attachments or embedded images; text-only email content"],"requires":["Active email account (Gmail, Outlook, or IMAP-compatible)","Floode account with email integration enabled","Sufficient email history for style learning (typically 50+ previous emails)"],"input_types":["email text","email metadata (sender, timestamp, subject line)","conversation thread structure"],"output_types":["text (draft response)","structured data (extracted action items, sentiment score)","metadata (suggested priority, response urgency)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-floode__cap_1","uri":"capability://automation.workflow.meeting.scheduling.and.calendar.conflict.resolution","name":"meeting scheduling and calendar conflict resolution","description":"Integrates with calendar systems (Google Calendar, Outlook) to autonomously propose meeting times by analyzing attendee availability, timezone differences, and recurring conflicts. Uses constraint-satisfaction algorithms to find optimal slots that minimize context-switching and respect meeting duration preferences, then sends calendar invites on behalf of the user.","intents":["I want to schedule a meeting with 5+ people without manually checking everyone's calendar","I need to find meeting times that work across multiple timezones automatically","I want to avoid back-and-forth scheduling emails and just have times proposed"],"best_for":["Executives managing cross-functional teams","Distributed teams spanning 3+ timezones","Organizations with high meeting load (10+ meetings/week per person)"],"limitations":["Requires calendar read/write permissions for all attendees — privacy-sensitive in some organizations","Cannot detect 'soft' conflicts (e.g., 'I prefer not to meet before 10am') without explicit rules configuration","No support for location-based constraints (e.g., travel time between offices)","Timezone handling assumes standard UTC offsets; may fail during daylight saving transitions"],"requires":["Google Calendar or Microsoft Outlook integration with OAuth","Calendar read/write permissions for the user and ideally attendees","Attendee email addresses in the system"],"input_types":["attendee list (email addresses)","meeting duration (minutes)","timezone information","date range constraints"],"output_types":["calendar event (ICS format)","meeting time proposal (structured: date, time, attendees, timezone)","conflict report (if no suitable slots found)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-floode__cap_2","uri":"capability://text.generation.language.document.summarization.and.key.insight.extraction","name":"document summarization and key insight extraction","description":"Processes uploaded documents (PDFs, Word docs, Google Docs) to extract executive summaries, key decisions, and action items using hierarchical text chunking and multi-pass summarization. Identifies document type (contract, report, meeting notes) and applies domain-specific extraction rules to surface critical information without requiring manual review.","intents":["I need a 2-minute summary of a 50-page contract or report","I want to extract all action items and owners from meeting notes automatically","I need to identify key decisions and risks from a document without reading it fully"],"best_for":["Legal and compliance teams reviewing contracts","Product managers synthesizing research documents","Executives needing quick briefings on lengthy reports"],"limitations":["Scanned PDFs (image-based) require OCR preprocessing — accuracy depends on image quality","Summarization quality degrades on highly technical or domain-specific documents without fine-tuning","Cannot extract information from tables or structured data reliably — text-centric approach","Document size limits (typically 50MB or 100k tokens) may require splitting large files"],"requires":["Document file (PDF, DOCX, PPTX, or Google Docs link)","Floode account with document processing enabled","For Google Docs: sharing permissions or OAuth integration"],"input_types":["PDF files","Word documents (DOCX)","Google Docs (via link)","PowerPoint presentations"],"output_types":["text (executive summary)","structured data (action items with owners, key decisions, risks)","metadata (document type classification, confidence scores)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-floode__cap_3","uri":"capability://automation.workflow.automated.follow.up.and.task.tracking","name":"automated follow-up and task tracking","description":"Monitors email threads and calendar events to detect open action items and automatically generates follow-up reminders or escalations. Parses natural language commitments ('I'll send you the report by Friday') and creates trackable tasks with deadlines, assigning ownership based on context and sending proactive reminders to stakeholders.","intents":["I want to track commitments made in emails without manually creating tasks","I need reminders when someone hasn't completed a promised deliverable","I want visibility into who owes what across my team"],"best_for":["Project managers tracking cross-team dependencies","Sales leaders monitoring deal progress and follow-ups","Executives ensuring accountability for commitments"],"limitations":["Commitment detection relies on natural language patterns — may miss implicit commitments or sarcasm","No integration with project management tools (Jira, Asana) — tasks created in Floode only","Deadline extraction from text is heuristic-based; ambiguous dates (e.g., 'next week') may be misinterpreted","Cannot track external commitments (e.g., vendor promises) without manual input"],"requires":["Email integration enabled","Calendar integration for event context","Floode account with task management feature"],"input_types":["email text","calendar event descriptions","user-defined task templates"],"output_types":["task object (title, owner, deadline, status)","reminder notification (email or in-app)","task dashboard (structured list of open items)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-floode__cap_4","uri":"capability://text.generation.language.communication.template.and.tone.matching","name":"communication template and tone matching","description":"Learns from historical emails, messages, and documents to build a profile of the user's communication style (formality level, vocabulary, sentence structure, signature patterns). When generating responses or drafts, applies this learned style to ensure consistency and personalization, reducing the need for manual editing.","intents":["I want AI-generated emails to sound like they're from me, not a generic template","I need to maintain consistent tone across different communication channels","I want to quickly adapt responses to different audiences (formal for clients, casual for team)"],"best_for":["Executives with distinctive communication styles","Teams with brand voice guidelines","Organizations where personal tone matters (sales, client relations)"],"limitations":["Style learning requires sufficient historical data (typically 100+ emails) to be accurate","Cannot adapt to context-specific tone shifts (e.g., formal for complaints, casual for celebrations) without explicit rules","May amplify biases or problematic patterns from historical communication","Style matching is probabilistic — occasional mismatches in tone or formality level"],"requires":["Email account with sufficient history (100+ emails recommended)","Floode account with style learning enabled","Opt-in to historical data analysis"],"input_types":["historical email corpus","user-defined style rules (optional)","target audience context"],"output_types":["style profile (formality score, vocabulary patterns, signature format)","styled draft response (text matching learned patterns)"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-floode__cap_5","uri":"capability://automation.workflow.multi.channel.communication.orchestration","name":"multi-channel communication orchestration","description":"Integrates with multiple communication platforms (email, Slack, Teams, SMS) to route messages intelligently based on urgency, recipient preferences, and channel availability. Automatically selects the appropriate channel (e.g., urgent items via SMS, routine updates via email) and maintains conversation context across platforms.","intents":["I want urgent messages to reach people via their preferred channel automatically","I need to send updates to teams on Slack and email simultaneously without duplicating effort","I want to maintain conversation continuity when switching between email and Slack"],"best_for":["Distributed teams using multiple communication tools","Organizations with urgent/routine message classification needs","Teams managing on-call or escalation workflows"],"limitations":["Requires integration setup for each platform (OAuth, API keys) — adds configuration overhead","Channel selection logic is rule-based; cannot learn optimal channels without explicit training data","Message formatting must be adapted per platform (Slack markdown vs. email HTML) — may lose formatting fidelity","No guarantee of message delivery across all channels (e.g., SMS failures, Slack downtime)"],"requires":["Floode account with multi-channel integration enabled","OAuth or API credentials for each platform (Slack, Teams, email, SMS provider)","User preferences configured for channel routing"],"input_types":["message text","urgency level (routine, important, urgent)","recipient list","channel preferences"],"output_types":["routed messages (sent to selected channels)","delivery confirmation (per channel)","unified conversation thread (across platforms)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-floode__cap_6","uri":"capability://text.generation.language.stakeholder.communication.planning.and.distribution","name":"stakeholder communication planning and distribution","description":"Analyzes organizational structure and project context to identify relevant stakeholders for a given communication, then generates tailored versions of messages for different audiences (technical vs. non-technical, executive vs. individual contributor). Automatically distributes the appropriate version to each stakeholder group.","intents":["I need to communicate a project update to executives, team members, and clients with different levels of detail","I want to ensure all relevant stakeholders get the information they need without overwhelming them","I need to tailor technical explanations for non-technical audiences automatically"],"best_for":["Project managers communicating across diverse stakeholder groups","Product leaders managing cross-functional updates","Organizations with complex reporting hierarchies"],"limitations":["Stakeholder identification requires organizational data (org chart, project assignments) — manual setup needed","Audience segmentation is rule-based; cannot learn optimal segments without historical data","Message tailoring may oversimplify or lose critical nuance when adapting for different audiences","No feedback loop to validate that tailored messages were appropriate for each group"],"requires":["Floode account with stakeholder management enabled","Organizational structure data (org chart or manual stakeholder mapping)","Project or context information for stakeholder identification"],"input_types":["base message or announcement","organizational structure","project context","audience definitions (technical, executive, etc.)"],"output_types":["tailored message variants (per audience)","distribution list (stakeholders grouped by audience)","sent confirmation (per recipient)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-floode__cap_7","uri":"capability://text.generation.language.meeting.notes.transcription.and.action.item.extraction","name":"meeting notes transcription and action item extraction","description":"Integrates with calendar and video conferencing tools (Zoom, Teams, Google Meet) to automatically record, transcribe, and analyze meeting audio. Extracts action items, decisions, and attendee contributions using speaker diarization and NLP, then distributes summaries and task assignments to participants.","intents":["I want automatic transcripts of meetings without manually recording or taking notes","I need to extract action items and owners from meetings without manual review","I want to track who said what in a meeting for accountability"],"best_for":["Teams with frequent meetings (5+ per week)","Organizations requiring meeting documentation for compliance","Distributed teams where async meeting review is critical"],"limitations":["Transcription accuracy depends on audio quality and speaker clarity — poor audio degrades results","Speaker diarization (identifying who spoke) fails with 5+ simultaneous speakers or heavy accents","Action item extraction is heuristic-based; may miss implicit commitments or conditional tasks","Requires explicit opt-in from all meeting participants in some jurisdictions (recording consent laws)","No support for non-English languages or mixed-language meetings"],"requires":["Floode integration with calendar (Google Calendar, Outlook, etc.)","Floode integration with video conferencing platform (Zoom, Teams, Google Meet)","Meeting recording permissions enabled","Participant consent for recording (varies by jurisdiction)"],"input_types":["meeting audio (from video conference)","calendar event metadata (attendees, title, duration)","optional: manual notes or chat transcripts"],"output_types":["text transcript (full meeting)","structured data (action items with owners, decisions, key quotes)","speaker attribution (who said what)","summary document (distributed to attendees)"],"categories":["text-generation-language","data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-floode__cap_8","uri":"capability://data.processing.analysis.intelligent.email.filtering.and.priority.ranking","name":"intelligent email filtering and priority ranking","description":"Analyzes incoming emails using machine learning to classify importance based on sender relationship, content keywords, historical engagement patterns, and business context. Automatically filters low-priority emails (newsletters, notifications) and ranks remaining emails by urgency, surfacing critical messages while reducing inbox noise.","intents":["I want to focus on truly important emails without being overwhelmed by notifications","I need urgent messages to surface automatically without manual filtering","I want to reduce time spent on email triage"],"best_for":["Executives receiving 100+ emails daily","Teams with high email volume from external sources","Organizations where email is critical but time-consuming"],"limitations":["Priority ranking is probabilistic — occasional false positives (important emails marked low priority)","Requires historical email data to learn patterns — new users get generic filtering initially","Cannot understand business context without explicit configuration (e.g., 'emails from CEO are always urgent')","May filter legitimate emails to spam if sender patterns are unusual"],"requires":["Email account integration (Gmail, Outlook, IMAP)","Floode account with filtering enabled","Sufficient email history (50+ emails) for pattern learning"],"input_types":["email metadata (sender, subject, timestamp)","email body text","user feedback on priority (optional, for training)"],"output_types":["priority score (0-100)","filtered inbox (low-priority emails hidden or archived)","ranked email list (sorted by urgency)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-floode__cap_9","uri":"capability://memory.knowledge.conversation.context.preservation.and.retrieval","name":"conversation context preservation and retrieval","description":"Maintains a searchable index of past conversations (emails, Slack messages, meeting notes) and automatically surfaces relevant context when composing new messages or attending meetings. Uses semantic search and conversation threading to find related discussions, decisions, and commitments without requiring manual context gathering.","intents":["I want to quickly find previous discussions about a topic without searching manually","I need context from past conversations when replying to emails","I want to avoid repeating decisions or commitments made in previous conversations"],"best_for":["Teams with long-running projects requiring historical context","Organizations with high employee turnover needing institutional memory","Distributed teams where async communication requires rich context"],"limitations":["Semantic search requires vector embeddings — adds latency (typically 100-500ms per query)","Context retrieval is limited to indexed conversations — older or archived messages may be unavailable","Privacy concerns with indexing all conversations — requires explicit user consent and data governance","Relevance ranking may surface tangentially related conversations, requiring user filtering"],"requires":["Floode account with conversation indexing enabled","Integration with communication platforms (email, Slack, Teams, etc.)","Sufficient conversation history (100+ messages) for useful retrieval"],"input_types":["conversation text (emails, messages, meeting notes)","search query (natural language)","conversation metadata (participants, date, topic)"],"output_types":["ranked list of relevant conversations","conversation snippets (relevant excerpts)","context summary (key decisions, commitments from past discussions)"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":27,"verified":false,"data_access_risk":"high","permissions":["Active email account (Gmail, Outlook, or IMAP-compatible)","Floode account with email integration enabled","Sufficient email history for style learning (typically 50+ previous emails)","Google Calendar or Microsoft Outlook integration with OAuth","Calendar read/write permissions for the user and ideally attendees","Attendee email addresses in the system","Document file (PDF, DOCX, PPTX, or Google Docs link)","Floode account with document processing enabled","For Google Docs: sharing permissions or OAuth integration","Email integration enabled"],"failure_modes":["Requires email account integration (OAuth or IMAP) — not all email providers equally supported","Draft quality depends on training data; may miss nuanced context in highly specialized domains","No real-time processing — operates on batches or scheduled intervals, not live inbox streaming","Cannot handle attachments or embedded images; text-only email content","Requires calendar read/write permissions for all attendees — privacy-sensitive in some organizations","Cannot detect 'soft' conflicts (e.g., 'I prefer not to meet before 10am') without explicit rules configuration","No support for location-based constraints (e.g., travel time between offices)","Timezone handling assumes standard UTC offsets; may fail during daylight saving transitions","Scanned PDFs (image-based) require OCR preprocessing — accuracy depends on image quality","Summarization quality degrades on highly technical or domain-specific documents without fine-tuning","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":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:03.040Z","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=floode","compare_url":"https://unfragile.ai/compare?artifact=floode"}},"signature":"+6F9vXZGslEBWc4qDv0U1i96oe8QxNIiROHK+zCyurgrubqteGbJybInHZmMsnzujiX+FMg4wk1JMpwk1wvgDA==","signedAt":"2026-06-22T02:35:57.897Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/floode","artifact":"https://unfragile.ai/floode","verify":"https://unfragile.ai/api/v1/verify?slug=floode","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"}}