video1.0<iframe src="https://www.loom.com/embed/fc96c67c0da241dda8457fa6161d421f" frameborder="0" width="1946" height="1459" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14591946Loomhttps://www.loom.com14591946https://cdn.loom.com/sessions/thumbnails/fc96c67c0da241dda8457fa6161d421f-138eedf142edf0fe.gif328.892In this video, I introduced AI Workflow Observer, a local-first document analysis tool designed to enhance clarity and trust in AI-driven workflows, particularly in finance. I focused on creating a calm and legible interface that prioritizes user experience by clearly displaying system health and citations for answers derived from documents. We explored NVIDIA's 10Q report, demonstrating how the tool can synthesize complex information to provide actionable insights for investors. My goal is to show how this project reflects my design philosophy of reducing friction in complex work environments. I appreciate your time in reviewing this, and I look forward to discussing how we can apply this mindset further. Here is the GitHub link for reference on the project: https://github.com/jnathnjshua/ai-workflow-observer