Stop prompting. Start building an autonomous AI loop.
Julian Goldie Agency20 July 2026Watch on YouTube
Part of series
Ep. 10 · Zelfcorrigerende AI-agenten
Laat zien hoe je AI-agenten bouwt die zichzelf automatisch controleren en corrigeren via feedback-loops, zonder handmatige tussenkomst.
View the seriesDescription
Want to make money and save time with AI? Join here: https://www.skool.com/ai-profit-lab-7462/about Free SEO Strategy Session 👉 https://go.juliangoldie.com/strategy-session?utm=AIPB Get a FREE AI Course + Community + 1,000 AI Agents 👉 https://www.skool.com/ai-seo-with-julian-goldie-1553/about Most people get stuck using AI for single tasks, but the real power lies in building a positive feedback loop. Instead of manually prompting for every video or project, Codex can be configured to act as an autonomous system. By defining specific skills for video generation and teaching the model to reflect on its own output, the workflow actually improves every time it runs. This approach transforms a simple tool into a self-correcting engine that reduces the need for constant quality control, allowing projects to become smarter and more efficient with every iteration. #ChatGPTCodex #AIWorkflow #Automation
What you'll learn
- Autonomous AI loops eliminate the need to manually prompt for every task and automatically improve with each iteration.
- Teaching the model to reflect on its own output creates a self-correcting system that improves without constant human quality control.
- This transforms AI from a single-task tool into an automated workflow engine that grows smarter with every run.
- Defining specific skills for tasks like video generation allows AI systems to operate autonomously and consistently.