How Is Jarvis Different From Fathom for Meetings?

Fathom is a meeting recorder: it auto-joins your video calls, records and transcribes them, and generates highlights. Jarvis (getjarvis.eu) does none of that. Jarvis is a screen-aware desktop assistant (macOS 12+, Windows 10+, hotkey Cmd+/ or Ctrl+/) that reads what is on your screen and pulls live data from connectors like Google Calendar, Notion, Slack, Gmail, and Linear. The difference is timing and scope: Fathom captures the call itself, while Jarvis works before and after across your whole stack — building pre-reads, extracting action items from your notes, drafting follow-ups, and creating tasks. It routes across frontier models from Anthropic, OpenAI, and Google with persistent memory. Jarvis is GDPR-aligned, never trains on your data, and costs $16/month Pro or $32/month Unlimited. For verbatim call capture, keep Fathom; for cross-app meeting workflows, use Jarvis.

Fathom's job is the call. It connects to Zoom, Google Meet, or Teams, joins as a bot, records the video, and produces a transcript with auto-generated highlights and a summary. That is genuinely useful for sales calls and customer interviews where the exact words matter. Jarvis is built for a different moment. It never joins calls or records audio. Instead it lives as a floating bar on your desktop, sees your active window, and connects to 30+ apps. Where Fathom hands you a recording, Jarvis hands you a prepared brief beforehand and a set of completed follow-up actions afterward.

Because Jarvis is wired into Google Calendar, Notion, Slack, Gmail, Linear, and more, a single Cmd+/ prompt can do work that spans systems. Before a client meeting, it pulls the invite, the linked proposal doc, and the latest email thread into one brief. Afterward, it turns your notes into Linear issues, posts a recap to Slack, and drafts the thank-you email. Fathom gives you the raw material; Jarvis turns material into action. Its persistent, user-controlled memory means a recurring meeting keeps its thread, and its model routing across frontier models from Anthropic, OpenAI, and Google picks the right engine per task.

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