Recall.ai becomes live interaction layer

This turns Recall.ai from a data pipe into the control layer for AI agents inside meetings. A silent bot only captures what happened after the fact. An active bot lets a developer put software into the room that can listen, speak, show a screen, and react in real time across Zoom, Meet, Teams, and Webex. That is a much higher value job, because it sits directly in the live workflow where coaching, recruiting, support, and sales decisions happen.

• Output Media works by rendering a web app into low latency audio and video and streaming it through the bot into the call. In practice, that means a developer can take an existing browser based AI app and make it talk in a meeting, instead of just using Recall.ai to record the meeting for later analysis.
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• This also defends Recall.ai against bot free note takers like Granola. When the job is only recording, desktop and mobile capture can replace a meeting bot. When the job is participating, the bot becomes the product, because something has to actually join the call, speak, and present content to other attendees.
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• It follows the playbook of universal API companies like Plaid and Finch. The connector is the wedge, but the durable business comes from adding higher value products on top of the rails. For Recall.ai, that means moving from charging for captured minutes to owning the live interaction layer that agent builders depend on.
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The next step is a market where every meeting tool needs both capture and participation infrastructure. As more AI agents handle demos, interviews, support calls, and sales coaching, Recall.ai can become the default way developers get those agents into calls, on any platform, with recording, transcription, and live output bundled together.