Peter Yang

Leaders at Linear, Ramp, and Factory AI share how AI-native companies operate in practice. The core shift is that managing and onboarding AI agents becomes a core responsibility across all functions, not just engineering. Key practices include treating agents as first-class teammates, evaluating employees on AI proficiency, and codifying expertise into reusable AI skills accessible to any employee.

How does an AI native company operate?

The defining shift is that onboarding and managing AI agents IS the job, no matter what function you're in.

I interviewed leaders at @linear, @tryramp, and @FactoryAI to find out how this works in practice, including how to:

→ Work with agents as first class teammates
→ Evaluate AI proficiency in employees
→ Codify expertise into reusable AI skills that any employee can use (see below)

📌 Subscribe to get the full deep dive tmr: https://t.co/NSo5VypmoS

<p>How does an AI native company operate?

The defining shift is that onboarding and managing AI agents IS the job, no matter what function you're in.

I interviewed leaders at @linear, @tryramp, and @FactoryAI to find out how this works in practice, including how to:

→ Work with agents as first class teammates
→ Evaluate AI proficiency in employees
→ Codify expertise into reusable AI skills that any employee can use (see below)

📌 Subscribe to get the full deep dive tmr: https://t.co/NSo5VypmoS</p>

A brief tweet-style post suggesting that in AI-native companies, the primary job function has shifted to onboarding and managing AI agents rather than traditional roles.