CoAgentor Brings Agents Into Live Meetings

This is the more ambitious version of the AI meeting assistant category: not passive notes, but active participation. If it works reliably, it could make meetings materially more useful by surfacing context before people waste time asking for it.

• –Live intervention is the real differentiator here; the value comes from answering questions during the conversation, not after it
• –The product leans on a practical integration story, which matters more than model quality in meeting workflows
• –Hand-raise controls and “speak only when relevant” are important guardrails; without them, live agents become intrusive fast
• –This sits closer to workflow automation than consumer AI polish, so trust, latency, and permissioning will decide adoption
• –The category is crowded with note-takers, but much less crowded with systems that can actually contribute to decisions in real time