
1000+ Hours in Claude Code in 60 Mins
Nate Herk | AI Automation18 June 2026Watch on YouTube
Part of series
Ep. 11 · Claude Code Built
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Code NATEHERKB2 for 15% for Biz+ for 1 month or year (exp Jul 18): https://clickup.com/ My FREE AI OS Course: https://www.skool.com/ai-automation-society/about?el=cole-medin-podcast&hcategory=youtube-videos&utm_campaign=free-group Full courses + unlimited support: https://www.skool.com/ai-automation-society-plus/about?el=cole-medin-podcast&hcategory=youtube-videos&utm_campaign=ais-plus Apply for my YT podcast: https://podcast.nateherk.com/apply Work with me: https://uppitai.com/ My Tools💻 FREE MONTH voice to text: https://get.glaido.com/nate Code NATEHERK for 10% off VPS (annual plan): https://www.hostinger.com/vps/claude-code-hosting Between Cole and myself, we’ve logged thousands of hours working in tools like Claude Code. So I sat down with him to break down how to actually direct your coding agents instead of just prompting and praying. We get into the planning and verification system that separates real results from vibe coding, why every model has a "dumb zone" where it starts missing obvious things, and how to chain multiple agent sessions together so one big task doesn't fall apart halfway through. Cole also shares how he thinks about security, treating every bug as a permanent upgrade, and the Claude Code features he leans on most. Whether or not you write code, the mindset applies directly to using AI for real work. Sponsorship Inquiries: 📧 nate@smoothmedia.co Connect with me: https://www.linkedin.com/in/nateherkelman/ https://x.com/nateherk https://www.instagram.com/nateherk/ TIMESTAMPS 00:00 Intro 5:46 Sponsorship 7:41 Stop Vibe Coding, Start Directing 13:17 Make the Agent Prove Its Work 19:46 Why You Plan More Than You Build 27:01 The Dumb Zone 33:38 Harness Engineering and the Ralph Loop 44:23 The Security Problem Nobody Plans For 51:22 Every Bug Is a Permanent Upgrade 59:54 Top 3 Claude Code Features 1:07:56 Outro
What you'll learn
- Actively direct coding agents instead of unstructured prompting, planning and verification systems are key to real results.
- Implement verification mechanisms so AI agents can prove their work and catch issues before they compound.
- Recognize the 'dumb zone' where models miss obvious things, and split large tasks across multiple agent sessions.
- Address security proactively and treat every bug as a permanent upgrade for future projects.
- Use planning-oriented thinking for AI work, as you spend more time on structure than actual building.