{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/40232d1b61ca4e719e8c8dfeb8d674e5\" 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/40232d1b61ca4e719e8c8dfeb8d674e5-a38bca1c04f164dc.gif","duration":199.915,"title":"Building an Enterprise-Grade Automation Pipeline with AI and Discord Integration","description":"In this video, I’m excited to share my project that treats automation like a real enterprise-grade application. I’ve built a pipeline using the GROK LALAMA 3.1 model to generate formatted Twitter threads from user input, which are then logged in Superbase and delivered to Discord. I demonstrated a live test on the importance of gym for mental health, showcasing how the data is processed and logged. I’ve also exported the entire pipeline as a JSON file and documented it in my GitHub repository, which I will share with you. I would love the opportunity to bring this structured engineering approach to your team."}