Hands‑On Strands Agents: Building Weather and Teaching AI Agents
This article walks developers through two concrete Agentic AI projects—a Hong Kong weather chatbot built with Amazon Nova Act and a personalized math‑teaching agent using the open‑source Strands Agents framework—each accompanied by full implementation code and live demos.
The first case study demonstrates how to construct a weather‑information agent for Hong Kong using Amazon Nova Act. The author outlines the dialogue flow, shows how to integrate a weather data set, and runs a real‑time demo where natural‑language queries retrieve current conditions and forecast trends.
The second case study dives into the open‑source Strands Agents framework to create a math‑teaching agent. It explains the process of generating personalized instructional videos on demand, including automatic rendering of mathematical formulas and other teaching content.
Both examples provide complete source code, enabling developers to replicate the agents and adapt the techniques for their own applications.
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