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Topic starter
16/07/2026 8:46 pm
So I've been leading a POC to automate a customer onboarding workflow. We built a version in LangGraph, which was great for prototyping the logic. But I was getting nervous about the cost and latency once we scaled.
We decided to A/B test it against a simple, custom Python script using the same LLM calls. The results surprised me: the custom script was 40% faster on average and cut our testbed costs by over 60%. The LangGraph overhead for state management and orchestration just wasn't worth it for our linear, simple workflow. Has anyone else run into this? I'm wondering if LangGraph's value only appears past a certain complexity threshold. 🤔