video1.0<iframe src="https://www.loom.com/embed/417ee03eb3a64ecbb132f0c94c6f65fa" frameborder="0" width="1728" height="1296" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12961728Loomhttps://www.loom.com12961728https://cdn.loom.com/sessions/thumbnails/417ee03eb3a64ecbb132f0c94c6f65fa-a6c4004903b668bf.gif298.755This Loom explains how the creator built and demoed a LinkedIn POV agent to automate and standardize content research, writing, and publishing. They describe an architecture based on LandGraft that manages research state and separates prompts and schemas, plus a base tone document and an audience specific tone document for mid-complexity users. The agent is deployed as a web app in Streamlit and Railway, with runs traced in Langsmith to debug failures. In the demo, the agent takes about 5 to 10 minutes to run, produces an article on the average state of AI competency among working professionals, and provides a downloadable zip file containing the finished article, an iteration brief, and all research documents.