Cloud-based AI APIs are powerful, but what about the network latency, API keys, and privacy concerns? What if you could bypass all that and run AI models directly on your local machine to supercharge your personal workflow and to build and test entire AI-powered features, completely offline?

Get ready to take control. This energetic, 20-minute session is your practical playbook for the full local AI stack. You'll see how to expose your local model as a private, high-performance API. This is the key to creating a powerful local development loop for building and testing robust application features, free from rate limits and data privacy risks. We’ll show how this local-first architecture lets you seamlessly switch models and tools, so you can build and iterate on secure features at lightning speed.