Over the next few weeks, we are hosting three hands-on live streams focused on building and running AI systems in production. Each session skips high-level theory to focus strictly on implementation: real code, operational architectures, and practical blueprints spanning autonomous agents, multi-agent system design, and AI-native customer operations.
We go straight into a live show-and-tell of production-grade agent workflows. Whether you are a startup founder, AI engineer, or technical operator, you will leave with actionable blueprints to upgrade your team from simple prompts to full operational autonomy.
🗓️ August 19, 2026 | 11:00 AM – 12:00 PM PDT | Live Stream
🎙️ Nat Eliason (Entrepreneur, Author, and Head of Founders School)
🎟️ Register: https://luma.com/livestream-8-19
Moving beyond single-prompt engineering requires architectural decisions that prevent infinite loops and runaway token costs. Annie Wang (Software Engineer at Google) walks through designing production-ready multi-agent architectures using Google’s Agent Development Kit (ADK). You’ll learn how to decompose complex workflows, balance deterministic logic with LLMs, and structure agent memory at scale.
🗓️ August 26, 2026 | 6:00 PM – 7:00 PM PDT | Live Stream
🎙️ Annie Wang (Software Engineer & Internal Career Coach, Google)
🎟️ Register: https://luma.com/livestream-8-26
In this live technical walkthrough, we break down how to design an AI-native operating layer across the full customer lifecycle. We will examine real workflows that connect top-of-funnel acquisition directly to long-term retention without adding manual administrative drag.
🗓️ September 9, 2026 | 6:00 PM – 7:00 PM PDT | Live Stream
🎙️ Jing Conan Wang (Founder & CEO, DeepVista AI, Co-Founder of FounderCoHo)
🎙️ Annie Wang (Software Engineer & Internal Career Coach, Google)
🎟️ Register: https://luma.com/livestream-9-9
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