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AI Breakdown · September 7, 2026 · 25m 44s

The Multiplayer AI Sprint: Build Your Team’s First Shared Agent

NLW examines the shift from individual AI agent use to shared team agents, citing moves by Anthropic, Every, and OpenClaw. He introduces The Multiplayer AI Sprint for Teams, a free, four-part self-directed program that guides teams to assess current AI practices, build shared context, identify collaborative workflows and deploy a multiplayer agent. Research from KPMG and UT Austin is highlighted, showing that the highest-impact AI users treat AI as a reasoning partner and that this skill can be taught at scale.

This summary was generated from show notes and public descriptions, not from a full transcript review. Details may contain inaccuracies.

Highlights

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Single-player to Multiplayer AI Agents
Companies like Anthropic, Every, and OpenClaw are shifting the focus of AI agent use from individual productivity to shared team agents.
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The Multiplayer AI Sprint for Teams
A free, four-part self-directed program to help teams build their first shared AI agent.
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AI as Reasoning Partner Can Be Taught
KPMG and UT Austin research indicates that top-performing AI users treat AI like a reasoning partner, and those skills can be taught at scale.
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