About this episode

The episode discusses the new AI primitive /goal and its applications in various knowledge work tasks.

A practical primer on /goal, the new AI primitive showing up in Codex and Claude Code. NLW explains how /goal differs from a normal prompt, why it matters for longer-running agent tasks, what makes a good goal, and how to think about using it beyond coding for audits, research, vendor reviews, market landscapes, and other knowledge work where the AI needs a clear finish line and evidence of completion. Sign up for AI Executive Catchup: ⁠https://aiexecutivecatchup.com/⁠ 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 ⁠⁠⁠kpmg.com/us/Sophisticated⁠⁠⁠ Outsystems - Stop wondering how AI will change your business and start building the agents that will lead it - http://outsystems.com/ Scrunch - The AI customer experience platform - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://scrunch.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Zenflow Work - Agents for knowledge work - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://zenflow.free/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Blitzy - Want to accelerate enterprise software development velocity by 5x…

People in this episode

Host: Nathaniel Whittemore

Topics covered

• AI primitives
• goal setting
• knowledge work
• agent tasks
• AI coding

Keywords

• AI
• /goal
• Codex
• Claude Code
• agent tasks
• knowledge work
• KPMG
• Outsystems
• Scrunch

Sponsors

KPMG, Outsystems, Scrunch, Zenflow Work, Blitzy, AssemblyAI

Mentioned in this episode

Organizations: University of Texas at Austin

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