AI agents aren’t just for demos or chatbots — they can solve real problems. In this video, I show how I built an AI agent using AWS Bedrock to monitor my IoT water tank data alongside a live weather API. The agent checks tank levels, looks at the rain forecast, and then decides whether I actually need to order water or not. This kind of setup helps avoid wasted money on water deliveries, reduces stress, and shows how AI agents can make life easier in practical, everyday ways. What you’ll see in this video: Connecting an IoT data feed (water tank levels) Using a weather API to check rainfall forecasts An AI agent (AWS Bedrock) that makes the decision: order water or wait Why this is more than a “toy project” — it’s a real-world solution If you’re curious about AI + IoT, or want to see how agents can go beyond superficial tasks, this video is for you. 👉 Subscribe if you want more hands-on AI + robotics projects! Chapters 00:00 - Intro 00:47 - How it works 03:22 - Demo of the agent 06:28 - Agent overview 12:19 - Tools - checking tank and weather 18:23 - Knowledgebases - deciding contact numbers 22:43 - Observability 25:50 - Integrate the agent into your apps 27:42 - Costs & Outro