Jev Explained for Python Developers
Download my free proposal template and an anonymized client proposal https://go.datalumina.com/vcK3LFa 🔗 Follow along with the Python examples https://github.com/daveebbelaar/ai-cookbook/tree/main/models/jev 📚 TypeSafe documentation https://docs.typesafe.ai/introduction 🎙️ The dictation tool I use, Glaido https://get.glaido.com/dave ⏱️ Timestamps 00:00 Jev and your first Python request 06:00 Choice, Score, and Noul 10:13 Speed and cost compared with Claude 11:56 Combining questions in one API call 14:33 My verdict and deployment considerations 📌 Description I walk through TypeSafe's Jev model in Python, starting with a simple support-ticket classification and then explaining Choice, Score, and Noul. I show how to combine questions in one API call and compare latency with Claude Haiku, Opus 5, and Fable 5.1, alongside the API pricing. I also share where I see this fitting into AI workflows and the deployment questions I would consider before using it for clients. 👋🏻 About Me Hi! I'm Dave, AI Engineer and founder of Datalumina®. On this channel, I share practical tutorials that teach developers how to build production-ready AI systems that actually work in the real world. Beyond these tutorials, I also help people start successful freelancing careers. Check out the links above to learn more!
