Recordings are useful, but nobody wants to rewatch a 45-minute Loom, scrub through a Fathom export, or replay a call just to find the three things that mattered. You can drop the file on your assistant and ask for the usable version: notes, decisions, clips, and follow-ups.
What you delegate
The input can be a meeting recording, Loom walkthrough, podcast episode, customer call, screen recording, or exported Fathom file. You tell the assistant what you need from it: executive summary, action items, objections, feature requests, timestamps, clips, or a follow-up email. The assistant handles the media work and gives you the structured output.
Can you process this customer call recording?
Please give me:
1. A short summary
2. Decisions and open questions
3. Action items with owners if mentioned
4. Any good product feedback quotes
5. Clips or timestamps worth sharing with the team
6. A draft follow-up emailHow it works
The transcription skill accepts local audio or video files and uses the configured speech-to-text provider, such as Whisper, Deepgram, or Gemini. Video files are handled too: the assistant can extract the audio, split large files into chunks, and produce a transcript without making the user manage the mechanics.
For video, the media processing pipeline can go beyond the words. It can ingest the file, inspect key moments, combine audio transcript with visual context, answer natural-language questions about the recording, and generate short clips around important timestamps. That means a product demo, interview, tutorial, or customer call can become searchable working material.
Once the recording is processed, the assistant reduces the messy source into the format the user actually needs. It can summarize what happened, extract decisions, identify action items, pull notable quotes, draft a Slack update, write a customer follow-up, or prepare clips for the team to review.
Why this pattern matters
Most meeting tools capture the conversation. The assistant turns the recording into motion. A transcript is only the raw material. The workflow becomes valuable when the assistant understands the user's goal, finds the relevant moments, and produces the next artifact: the email, the task list, the product feedback summary, or the short clip that gets everyone aligned.
The outcome
A messy recording becomes a clean package of notes, timestamps, clips, and next steps. The user does not need to rewatch, scrub, or manually summarize. They get the decisions, the action items, and the follow-up draft ready to send.