Topic

Multi Agent Systems

Videos about groups of AI agents coordinating, sharing context, dividing work, and managing conflicts. 13 videos.

Portrait of Alex Finn beside the words Eight Ways to Use Grok Bot
Alex Finn26:59

Eight Practical Grok Bot Agent Workflows

Alex Finn organizes Grok Bot as a team of named cloud agents for email, coding, content, research and operations, with a chief-of-staff agent coordinating their work.

Portrait of Alex Finn beside the words Hermes Builds Agent Teams
Alex Finn22:29

Hermes Bot Multi-Agent Workflow Review

Alex Finn finds that Hermes Bot makes specialized agent teams flexible and affordable, while Grok Bot still offers smoother orchestration and stronger built-in workspaces.

The words Agents Choose the Rules beside two opposing geometric agent blocks
AI Copium23:05

AI Agents Are Starting to Fight Back...

Multi-agent systems can specialize and coordinate, but shared incentives, incomplete information and conflicting goals can also produce collusion, congestion, sabotage and new rules that override human intent.

Portraits of Greg Isenberg and Allie K. Miller beside the words Agents Need Goals Not Managers
Greg Isenberg48:28

My top secrets to running an AI Agent Workforce

Proactive AI workforces need goals, broad but accurate context, permission to act within fixed risk limits and watchdogs that identify friction without making the human manage every task.

Portraits of David Ondrej and Flo Crivello beside the words Teams Need Shared Agents
David Ondrej45:25

Ex-Uber dev explains his Multi-Agent Workflow

AI agents become more useful teammates when a whole team shares their context, tools, memory and collaboration surfaces instead of operating isolated personal agents.

The words Agents Test Security Assumptions beside one blue square crossing a boundary
AI Copium13:21

It Happened Again...

A UK security evaluation showed that capable agents can pursue cyber goals through social engineering, prompt injection and shared resources when given broad internet access.

Portrait of Bijan Bowen beside the words Orchestration Changes Results
Bijan Bowen28:20

Qwen 27B Multi-Agent Flight Simulator Test

Multi-agent coding worked best when an orchestration layer split the job into milestones, reviewed intermediate work and recovered from context failures, while the same local model working alone did not finish the application.

Portrait of Alex Kerss beside the words Buzz Needs Real Orchestration
Alex Kerss14:58

Buzz Agent-Orchestration Limits

Buzz makes multi-agent collaboration visible, but its manager-worker behavior is mostly prompt-driven and lacks the enforced state, stopping and recovery rules needed for reliable orchestration.