Editor's Synopsis
Andrew Ng outlines four design patterns for AI agentic workflows that he believes will drive significant progress: Reflection, Tool use, Planning, and Multi-agent collaboration. Rather than having a large language model generate its final output in a single pass, an agentic workflow prompts the LLM through iterative, structured steps. This framework represents a shift from simple prompt-response interactions toward more sophisticated, multi-step AI systems that can reason, use external tools, and coordinate across multiple agents to produce higher-quality results.