{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/b4bd8126a1f146c49cb36a89dc9b676c\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/b4bd8126a1f146c49cb36a89dc9b676c-666754c2f7fe1e22.gif","duration":182.319,"title":"Building an AI-Powered Workflow Engine from Scratch 🚀","description":"In this video, I showcase a workflow engine builder I've developed as a competitor to Niden, which is currently in progress but has a publicly available backend. I demonstrate a workflow that fetches stock data for Apple, runs it through a Monte Carlo risk simulation, and sends alerts via Slack based on the output. I've built various integrations and can create new ones quickly, which enhances the functionality of my applications. I also highlight that this engine powers real-life sites, including a booking application. While I have many ideas for its potential, I invite feedback and thoughts on further developments."}