AI at Zero Token Cost | Michael Hladky @ AI Devcraft

Build Faster, Private, Local-First AI Applications

AI is moving into the browser and that changes the economics of AI-powered applications.

With browser-native AI APIs, tasks like prompting, summarization, writing, translation, and proofreading can run directly on the user’s device, reducing cloud inference costs, API dependencies, data transfer, and token usage, potentially to zero for supported workloads.

Combined with MCP and WebMCP, applications can also expose structured tools and actions directly to AI agents without relying on expensive, context-heavy DOM automation.

In this talk, you’ll learn how to build local-first, agent-ready web applications designed around one goal: do more AI work in the browser, send less to the cloud, and minimize token costs.