I Built a Production-Grade AI Agent That Plans, Executes, and Critiques Its Own Work

1. 1Build a multi-agent system using LangGraph and Claude
2. 2Implement a self-correcting critic loop to evaluate agent performance
3. 3Configure the critic loop to provide feedback to the agent
4. 4Test the agent's ability to plan, execute, and critique its own work
5. 5Apply the self-correcting critic loop to improve agent performance over time

This article is relevant to AI engineers, ML researchers, and software engineers working on multi-agent systems and autonomous workflows, as it provides insights into building self-correcting AI agents

💡 A self-correcting critic loop is essential for building autonomous AI agents that can improve their performance over time

🤖 Build a production-grade AI agent that plans, executes, and critiques its own work! 📈