Foxymeets

Foxymeets integrates with calendar and meeting platforms (likely Zoom, Google Meet, Microsoft Teams) to automatically detect scheduled meetings, join sessions, capture audio streams, and convert speech-to-text using cloud-based ASR (automatic speech recognition) models. The transcription pipeline runs asynchronously during the meeting without requiring manual recording initiation or user intervention.

Foxymeets processes raw meeting transcripts through an NLP/LLM pipeline to extract key discussion points, decisions, action items, and attendee contributions, then condenses output into concise summaries. The summarization likely uses prompt-engineered LLM calls (OpenAI GPT, Anthropic Claude, or similar) with structured extraction patterns to identify actionable insights and reduce verbosity from raw transcripts.

Foxymeets generates meeting summaries and delivers them directly to users' email inboxes as formatted messages, integrating with SMTP/email services to route summaries without requiring users to log into a separate dashboard or app. The delivery pipeline likely includes email templating, recipient routing based on meeting attendees, and scheduling logic to batch or stagger delivery.

Foxymeets maintains bidirectional sync with calendar systems (Google Calendar, Outlook, or equivalent) and meeting platforms (Zoom, Google Meet, Teams) to automatically detect scheduled meetings, extract metadata (title, attendees, duration, platform), and trigger transcription/summarization workflows. The sync likely uses calendar webhooks or polling to detect new events and platform APIs to join meetings programmatically.

Foxymeets automatically routes meeting summaries to all attendees' email inboxes based on calendar attendee lists, ensuring distributed teams receive context without manual sharing. The distribution logic likely includes attendee deduplication, email validation, and opt-out handling to prevent duplicate sends or invalid addresses.

Foxymeets stores meeting summaries in a searchable archive accessible via email or (potentially) a web interface, allowing users to retrieve context from past meetings without attending live sessions. The retrieval mechanism likely includes full-text search over summaries and metadata indexing for filtering by date, attendees, or keywords.