Agents' next frontier: agent-to-agent and network effects

Official Schedule Context

MCP v. CLI was about how agents talk to tools. That’s not settled (but we’re camp MCP… mostly).

Almost nothing has settled how agents talk to each other - and that's where the next wave of value

(and network effects and virality) lives. At Town we run a personal AI agent in production inside

real people's inboxes, calendars, and Slack, and we've built agent-to-agent (A2A) on our platform:

1:1 A2A messaging, agents that carry a short bio of one another, HITL when sensitive data is shared

or write actions are involved, and early tests around 1:N A2A. I’ll talk about the why, the

opportunity, and the production architecture underneath. Audience takeaway: a concrete mental model

for building multi-agent systems on top of the data and surfaces users already live in, plus our

learnings on early failure modes to avoid.

No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

Pending transcript synthesis when an official recording or confirmed matching video is available.