Smart Two-Stage Architecture: How to Analyze Massive CSV Files with the Claude API and Next.js

This is a brilliantly practical solution to a very common enterprise problem: hitting the Context Window limit when analyzing massive datasets like manufacturing logs. By cleverly separating responsibilities, the developer uses the Large Language Model (LLM) strictly for what it does best—understanding natural language and generating aggregation instructions—while leaving the heavy computational lifting to Node.js. This two-stage approach is a fantastic example of efficient Prompt Engineering and system design that makes Generative AI highly scalable for industrial applications.