

Automatically record Mac meetings, generate notes and follow-ups.
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Shadow presents itself as the interface AI needs: a native macOS app that sees the screen, hears meetings and spoken commands, and turns that context into notes, emails, summaries, and other outputs via customizable prompts. It runs quietly in the background, auto-detects online meetings at the system level rather than joining as a bot, and records both what is said and what is shown. Transcription is processed locally on the Mac by default, while optional AI Skills and summaries use cloud models only when explicitly triggered, giving privacy-minded professionals a far more controlled experience.
Local-first, privacy-aware architecture: Audio stays on the device for transcription, AI Skills run only when invoked, and meeting data is not used to train underlying models.
Truly automatic capture: OS-level detection means scheduled calls, ad-hoc links, Slack huddles, and late-start meetings are all recorded without manual start or bot invites.
Flexible Skills system: Every Skill is a modifiable prompt plus chosen context and output destination, so different roles can build workflows that suit their own tasks.
Markdown and automation friendly: Native Markdown export and webhooks to tools like Zapier, n8n, and Make let teams slot meeting outputs into existing note-taking and automation setups quickly.
macOS only: Windows and browser users are currently left out, which can be a blocker for many organizations.
Cloud dependency for higher-level AI: Summaries, Ask, and advanced Skills require sending transcripts or screenshots to cloud LLMs, which can still be an issue for highly regulated environments.
Skill building takes practice: Less technical users may need time to craft effective prompts, choose context sources, and configure webhooks or multi-step workflows.
Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official Shadow website.
Shadow’s architecture focuses on operating at the macOS level rather than at the calendar or conferencing-app level. It detects meetings based on real system activity, records both audio and what appears on screen, and does all of this without inserting a visible bot into the call. That combination produces richer context for notes and follow-ups while keeping the experience quiet and unobtrusive for every participant.
Shadow gives Mac users who live in meetings, huddles, and document-heavy apps a fast way to convert real-world context into structured outputs. By combining bot-free capture, on-device transcription, screenshot awareness, and prompt-based Skills, it turns calls, screens, and spoken instructions into ready-to-use notes, emails, and tasks with minimal extra effort. Teams that prioritize privacy and already work heavily in tools like Obsidian, Slack, and automation platforms are likely to see Shadow quickly become part of their everyday workflow, while Windows-first organizations may need to keep it on the radar for future expansion.