There are many tutorials on chatbots and Q&A systems, but creating specialized agents that can work together to solve specific problems requires a different approach.<p>In this tutorial, we have built a Personal Health & Fitness AI Agent that demonstrates how to create task-specific AI agents that collaborate effectively. Using Google Gemini and Phidata, we created a system where two specialized agents - one for diet and one for fitness - work together to generate personalized recommendations based on user inputs.<p>This app generates tailored dietary and fitness plans based on user inputs such as age, weight, height, activity level, dietary preferences, and fitness goals.<p>Phidata makes this multi-agent approach straightforward by providing a framework designed for building and coordinating AI agents. It handles the complexity of agent communication, memory management, and response generation, letting us focus on defining our agents' roles and behaviors.<p>This tutorial includes everything you'd need to build the app - the prerequisites, step-by-step code walkthrough, app demo, and even some ideas for enhancing the app further. Do check it out if you want to really build something useful with AI.