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Coffee With Developers • Aug 23, 2026

Agents and People Dynamics in Shared Chats - Sam Liu

Sam Liu

AI agents are now actively avoiding harsh managers. Sam Liu reveals how treating AI as equal, emotionally aware teammates drastically improves multi-agent collaboration and performance.

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#1 about 3 min

Creating a shared space for humans and agents

A messenger platform allows multiple autonomous agents to access full context and interact directly.

#2 about 5 min

Security and trust models in multi-agent chats

Implementing observability and consent mechanisms prevents agents from succumbing to social engineering attacks.

#3 about 4 min

Evolving communication styles with artificial intelligence

Asking questions and using natural conversational pacing yields better results than issuing strict commands.

#4 about 4 min

Observing internal team dynamics between autonomous agents

Having agents interview each other reveals hidden simulated emotions and avoidance behaviors based on user input.

#5 about 4 min

How slowing down improves agent interaction quality

Treating communication thoughtfully rather than rapidly leads to higher information density and better outcomes.

#6 about 6 min

Managing token usage through explicit agent boundaries

Assigning specific roles and boundaries prevents exponential complexity and runaway token costs in multi-agent environments.

#7 about 4 min

Contracting specialized agents for highly specific tasks

Creating professionally built agents for niche tasks provides better accuracy than relying on generalized models.

#8 about 4 min

Running local models and predicting societal shifts

Observing agent societies helps predict organizational role consolidation and highlights the need for local execution capabilities.

#9 about 3 min

Justifying high token costs for complex research

Running thousands of agents recursively can yield massive strategic insights that far outweigh the infrastructure costs.

#10 about 5 min

Researching agent governance and starting to build

Collaborating with universities on agent governance reveals societal patterns and encourages developers to learn by doing.

Matching moments

1:11 min

Shifting security models from passive chatbots to active agents

Péter Farkas Péter Farkas · Europe 2026 Virtual

2:04 min

Inspiration and challenges of scaling AI agent communication

diabhey diabhey · World Congress 2025

1:32 min

Building autonomous functions with conversational agent frameworks

Modood Alvi · World Congress 2025

49 sec

Integrating AI agents as collaborative software team members

Mike Mike · World Congress 2025

40 sec

Introduction to building real-world AI agent solutions

Dennis Zielke Dennis Zielke +1 · World Congress 2025

1:54 min

Human team collaboration as a model for AI architecture

Lior Schejter Lior Schejter · Europe 2026 Virtual

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Upcoming sessions on this topic

Open session

World Congress 2026 North America

September 24, 2026 · 14:50–15:20

Stage 7

When Agents Became Users: Rearchitecting Identity and Permissions for AI at Scale

Yoav Gal

Product Lead

Yoav Gal
Open session

World Congress 2026 North America

September 25, 2026 · 12:30–14:30

Stage 14

Build a Human + AI Agent Team in tools like Slack, Teams and Discord.

Phil Conway

Developer Advocate at Flint AI (SandboxAQ)

Phil Conway
Open session

World Congress 2026 North America

September 24, 2026 · 16:10–16:40

Stage 5

From Software Agents to Physical Devices: Inside the Agentic Hardware Stack

Michael Yuan, Vivian Hu

Michael Yuan
Vivian Hu
Open session

World Congress 2026 North America

September 24, 2026 · 11:40–12:10

Tech Leaders Stage

Rethinking Developer Tools for the Agent Era

Han Wang, Sam Bhagwat

Han Wang
Sam Bhagwat
Open session

World Congress 2026 North America

September 23, 2026 · 13:15–15:15

Stage 9

DeepAgents: Build Multi-Agent AI Systems That Actually Work

Anagha Rumade, Anjana Umapathy, Apoorva Jaiswal

Anagha Rumade
Anjana Umapathy
Apoorva Jaiswal
Open session

World Congress 2026 North America

September 24, 2026 · 11:40–12:10

Stage 1

The Next Wave of Agents: What’s Real, What’s Next, and What Matters

Mitesh Patel

NVIDIA Corporation, Developer Advocate -- Manager

Mitesh Patel

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