---
title: "Agents' next frontier: agent-to-agent and network effects"
category: "talks"
date: "2026-06-29"
time: "1:30pm-1:50pm"
track: "Claws & Personal Agents"
room: "Track 1"
speakers: ["Jean-Denis Greze"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "Claws & Personal Agents"
scheduleRoom: "Track 1"
scheduleLabels: ["Claws & Personal Agents", "Track 1", "session", "confirmed"]
---
# Agents' next frontier: agent-to-agent and network effects

## Conference Context
- Date/time: 2026-06-29 · 1:30pm-1:50pm
- Track/room: Claws & Personal Agents · Track 1
- Speaker(s): Jean-Denis Greze
- Session type/status: session · confirmed

- Track: Claws & Personal Agents
- Room: Track 1
- Session type: session
- Status: confirmed

## Session Description
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.

## Media Evidence
No related AI Engineer channel video found yet.

## Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

### Media Signals
No linked video, transcript, or slide source has been attached yet.

### Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

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

## People
- [[jean-denis-greze]]

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

## Synthesis
### Synthesized Breakdown
# Agents' next frontier: agent-to-agent and network effects ## Conference Context - Date/time: 2026-06-29 · 1:30pm-1:50pm - Track/room: Claws & Personal Agents · Track 1 - Speaker(s): Jean-Denis Greze - Session type/status: session · confirmed - Track: Claws & Personal Agents - Room: Track 1 - Session type: session - Status: confirmed ## Session Description 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.

### Speaker And Company Context
- [[jean-denis-greze|Jean-Denis Greze]] — Co-Founder & CEO at [[town|Town]].

### Topics Covered
- [[mcp]]

### Derived Links And Source Material

### Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.

### Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.