Peter Friese
Peter is a Staff Developer Advocate on the Firebase at Google, helping developers build amazing experiences and high quality apps using Firebase and AI.
With a passion for empowering developers and fostering innovation, Peter works tirelessly with the Firebase team to make his vision of “cutting short the time to magic” a reality.
He has written code in BASIC, C, ObjectPascal, Java, Kotlin, Xtext, JavaScript, TypeScript, Objective-C, and a number of home-grown DSLs - but his all-time favourite is Swift.
Staff Developer Relations Engineer
Your company –Session
LLMs have democratized AI, making it more accessible for everyone. But today’s chat bots still feel very disconnected. Wouldn’t it be great if you could use AI to tap into your personal knowledge and data, and use it to drive the tools you already know and love? Imagine using a chat bot to create your next pitch deck, or generating bespoke 3D scenes for your next home decoration project using inexpensive tools like Blender. In this talk, I'll show you how this is possible with tools like Genkit and MPC, the Model Context Protocol.
You will learn:
- What Genkit is and how its key abstractions make building AI apps easier and faster
- How you can leverage MCP to allow LLMs to interact with existing apps and systems
- How to architect intelligent applications that orchestrate complex tasks by connecting to and reusing your existing APIs, data sources, and specialised tools.
I will even demo an agentic app built using Genkit, MCP, Swift, and Keynote that you can use to craft presentation decks using just natural language - including doing the research!