video1.0<iframe src="https://www.loom.com/embed/40232d1b61ca4e719e8c8dfeb8d674e5" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/40232d1b61ca4e719e8c8dfeb8d674e5-a38bca1c04f164dc.gif199.915In 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.