Human in the loop AI Workflows using Langgraph

Author(s): Aayushi_Sharma

Originally published on Towards AI.

🔥What if you could pause an autonomous AI agent mid-task and steer it in the right direction — live?

As AI agents become more powerful and autonomous, the need for human-in-the-loop (HITL) systems has never been more important. Why? Because automation without control can lead to chaos. HITL workflows strike the ideal balance — combining machine efficiency with human judgment to build safer, smarter, and more flexible AI solutions.

This article discusses the importance of Human-in-the-Loop (HITL) systems in AI, highlighting the need for human oversight in increasingly autonomous AI workflows. It emphasizes LangGraph’s capabilities for real-time intervention, detailing how users can guide, approve, and debug AI agent actions. Through practical applications and real-world examples, it showcases the advantages of HITL for ensuring AI operations are safe and aligned with user intentions. The piece concludes that incorporating HITL into AI systems is essential for building controllable and reliable outcomes.

Read the full blog for free on Medium.

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Published via Towards AI