World Model · podcast knowledge graph

Ep 17: Why Future of AI Depends on A2A Multi-Agent Teams

2026-02-03 · 23 min · episode 17 · 4 entities

Asserted relationships

  • → hosted by Mac & Sam person
    0.55
    evidence rules-v5
    Feed author/publisher: Mac & Sam
  • → discusses Technology company
    0.40
    evidence rules-v5
    Feed category: Technology

Entities found in this episode

persons 2

  • mentioned Mac & Sam person
    0.70
    evidence rules-v5
    Feed author/publisher: Mac & Sam
  • hosted by Mac & Sam person
    0.55
    evidence rules-v5
    Feed author/publisher: Mac & Sam

companys 2

  • mentioned Technology company
    0.50
    evidence rules-v5
    Feed category: Technology
  • discusses Technology company
    0.40
    evidence rules-v5
    Feed category: Technology
Episode description as stored
Discover why the future of AI isn't one "super agent" but coordinated teams of specialized agents working together. We explore Agent-to-Agent (A2A) communication—the protocol enabling AI agents to collaborate on complex tasks. Learn how A2A frameworks are transforming AI from isolated demos into production-ready organizations, the essential components of multi-agent systems, and why oversight mechanisms are critical for deployment. Key Topics: Why single agents fail at complex workflows A2A protocols and collaboration frameworks Building production-ready agent teams Real-world applications and risk management Perfect for: AI engineers, technical leaders, product managers, and anyone building with AI agents. Resources: A2A Framework documentation, weekly AI insights newsletter, and community links at asembleai.substack.com