Movies have promised the future where we can talk to AI Assistants with natural language and have them respond with all the nuances of humans. However for years we've been stuck with really "stupid" AI experiences over voice. With the advent of LLMS this is finally a reality!

Lots of different technologies have come together to create amazing audio experiences. However, there are some technical problems that we need to solve. In this talk we will learn how to chain these technologies, solve some of the common problems and build a new JARVIS together, powered by the LLM of your choice.

Problem: Traditional AI application development often involves juggling multiple tools, APIs, and frameworks, leading to inefficiencies, complexity, and limited scalability. Developers are stuck in outdated paradigms that struggle to keep up with the growing demands of modern AI solutions.

Solution: The Model Context Protocol (MCP) offers a transformative approach to AI app development—essentially function calling on steroids. MCP represents a paradigm shift by streamlining the integration and management of core functionalities like file systems, databases, and other essential services through its innovative framework. By enabling seamless connections and robust functionality, MCP revolutionizes how developers build and deploy smarter AI-driven applications.

Description: This hands-on workshop empowers JavaScript developers to explore all facets of MCP development. Participants will learn to build MCP clients, set up MCP servers, and leverage existing MCP servers to create robust AI applications. Through practical exercises, you'll discover how MCP simplifies development, boosts efficiency, and delivers smarter AI-powered solutions. You'll also gain insight into how MCP's groundbreaking function-calling model enhances workflows, allowing seamless management of tasks such as file systems, databases, and more.

Key Takeaways: - Master the fundamentals of MCP and its innovative function-calling approach. - Build and configure MCP clients and servers from scratch. - Explore how to utilize existing MCP servers to streamline development tasks. - Gain hands-on experience in transforming traditional AI workflows into scalable, efficient models.

Coding is difficult. But streamlined app creators are too limiting.

AI helps to bring these two extremes together in a way that removes barriers to entry while providing a lot of flexibility. Let’s explore how we can utilize AI app composers to increase efficiency, whether you are a developer or not—and what the most effective places to use them are.