video1.0<iframe src="https://www.loom.com/embed/f9e0152e67de40aeaf99886c8d6e3a11" frameborder="0" width="1858" height="1393" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>13931858Loomhttps://www.loom.com13931858https://cdn.loom.com/sessions/thumbnails/f9e0152e67de40aeaf99886c8d6e3a11-1b8d5754e0bb034f.gif775.427In this video, I present my project on AI agent tools, specifically an AI research assistant built on LangChain and OpenAI LLM. The assistant features a web search tool via DuckDuckGo, a Wikipedia tool, and custom tools for saving outputs to a text file and fetching random dad jokes. I walk through the code, explaining the output schema and the system prompt that guides the AI's responses. During the demo, I show how to research a topic, such as explaining how electric cars work, and save the findings to a file. I encourage viewers to explore the capabilities of this AI assistant and consider how it might be useful in their own projects.