About this episode

The episode discusses the essential features and management practices for building an AI-native company.

What does it actually take to build an AI-native company? NLW breaks down one AI leader's 30 features of AI-native organizations, from shared context and agent skills to self-improving workflows, token efficiency, and making every employee a builder. The episode explores how companies can redesign work around agents, where human judgment belongs, and why ownership and accountability are becoming essential parts of a new management discipline. Source: https://x.com/businessbarista/status/2094213970215231831 NEXT COHORT - Executive Agent Leadership - Returns in September -- Learn how to use agents - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://training.besuper.ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/us/Sophisticated⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Harbor - Invest in the AI ecosystem. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.harborcapital.com/aidaily⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Hyperagent - Hire a team of always-on agents. New users get $100 in free credits…

People in this episode

Host: Nathaniel Whittemore

Topics covered

• AI-native companies
• organizational design
• management discipline
• agent skills
• workflows
• employee empowerment

Keywords

• AI-native
• organizational features
• self-improving workflows
• human judgment
• accountability
• management discipline

Sponsors

KPMG, Harbor, Hyperagent, Rackspace Technology

Mentioned in this episode

Organizations: University of Texas at Austin

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