How to Build Team Agents

How to Build Team Agents

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Summary

This Operators Cut episode of The AI Daily Brief looks at a shift underway in 2026: AI agents moving from solo tools to shared team agents that live in the space between colleagues. Host NLW talks with Nofar Gaspar about what it takes to build one.

The conversation starts with why some agents should stay private while others should become team-level resources, and offers a reality check on when not to build a team agent: when personal taste matters more than shared standards, when nobody can own and maintain the knowledge, or when permissions and coordination cost more than the agent saves. Sensitive data and high stakes, Gaspar notes, are design questions rather than reasons to avoid the idea.

For agents worth building, she presents five core design decisions: what the agent does, where it lives, what it knows, what it can touch, and how it runs. She illustrates them with a running example of a customer agent that holds what a company knows and has promised each customer, shared by sales, solutions engineering, and customer success.

The episode also mentions the platforms driving agent adoption this year, including Muse, Grokbot, and Instinct, plus upcoming training programs and a free webinar on building a personal AI benchmark.


📺 Source: The AI Daily Brief: Artificial Intelligence News · Published September 29, 2026
🏷️ Format: Podcast

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