Stop grading your AI's homework. Build a self-checking factory instead.
Julian Goldie Agency18 July 2026Watch on YouTube
Part of series
Ep. 1 · 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 treat AI agents like a bakery that never tastes its own bread, shipping raw dough straight to the customer. When agents create content or code without verification, you become the reluctant inspector, constantly marking homework and fixing errors. The solution lies in a self-checking AI factory. By setting up an automated loop where one agent builds and a separate critic agent evaluates the output against a strict definition of done, tasks repeat until they hit the required standard. This shift eliminates the need to babysit outputs, ensuring only high-quality work passes through while removing the manual burden of quality control. #AIAutomation #ArtificialIntelligence #ProductivityHacks #AIAgents #WorkflowOptimization
What you'll learn
- Use two AI agents in a loop: one that produces content and another that critically evaluates it against defined quality standards
- A self-checking AI factory eliminates manual verification and inspection of outputs through fully automated quality control
- Set clear 'definition of done' criteria so the evaluating agent can objectively determine if work meets standards and automatically trigger repetition