Automating Content with a Self-Critique Loop

Have you ever struggled with creating engaging content for your audience? I recently built a bot that uses a self-critique loop to judge my content before it posts, and it's been a game-changer. The setup consists of 57 nodes and 8 daily triggers, and it uses a second AI agent to review the generated content against quality criteria. If the content doesn't pass, it loops back and tries again. This approach ensures that I'm only putting out high-quality content that I'd be happy with manually. The bot generates content for 8 slots throughout the day, each with a different goal, such as wildcard, exploit, experiment, or CTA. It pulls recent engagement data, trend signals, and learning patterns from Airtable before each run, making the content contextual and relevant. I built this setup using n8n, starting with Claude code and manual canvas work. As I added new content types or changed the critique process, I used Synta to describe the changes in plain English and rebuild the modified sections. The entire setup is sanitized and available on GitHub for anyone to explore or adapt. If you're interested in learning more about the self-critique loop, I'd be happy to walk you through it. This approach can help you create a more authentic and engaging presence on the WebNutch marketplace, without the need for manual babysitting. By leveraging the power of automation and AI, you can focus on creating high-quality content that resonates with your audience.