Yusuf Olokoba

This talk addresses the fundamental challenges AI engineers face in deploying models, moving beyond the hype of voice agents and MCP tools. The core thesis is that building a Python compiler to generate self-contained binaries offers a simpler, more standardized approach to running AI models anywhere, from local devices to the cloud, without extensive infrastructure changes. This method aims to replicate the ease of using models like OpenAI's API but with the flexibility of any open-source model.