How to Design a Multi-Agent AI Framework in Python for Enterprise LLM Workflows
When I first started building enterprise applications with Large Language Models (LLMs), I fell into a trap that almost every developer encounters. I thought that scaling an AI system simply meant refining a single, massive prompt. I wrote complex system instructions, packed the context window with rules, and expected a single stateless API call to act as a researcher, analyst, and copywriter all at once. In production, this monolithic approach failed repeatedly. When processing dynamic data str


