Tags: #ai #python #machinelearning #datascience

If you spend any time on tech Twitter or LinkedIn right now, you’ve probably seen the hype around Multi-Agent AI.

Frameworks like CrewAI, AutoGen, and LangGraph promise that if you divide tasks among specialized agents: a "Planner", a "Coder", a "Reviewer", and an "Explainer" the system will magically solve complex workflows with superhuman reasoning.

As a CS student, I wanted to see if the hype holds up in the real world. Does assigning distinct personas to multiple LLMs actually make data analysis more accurate than just asking a single AI?…