Walk away with a clear, practical framework for building AI that’s not just powerful but predictable, safe, and built to scale.
Even the best teams are struggling to separate the AI hype from reality.
How do you move from clever prompts to systems that actually think safely, predictably, and at scale?
In this live session, we’ll take you beyond the buzzwords into the frameworks top product teams are using to build agentic AI that truly delivers. You’ll see how to evaluate trade-offs between autonomy and control, future-proof your infrastructure, and design products that can evolve intelligently over time.
Join Alloy Automation for a practical, behind-the-scenes look at what it really takes to build AI that works – not just once, but sustainably, at scale.
Why you should attend:
- Understand the real difference between deterministic, reasoning, and fully autonomous systems.
- Learn how to design with confidence, balancing adaptability with reliability.
- Discover how to future-proof your infrastructure for the next generation of AI-powered products.
What you’ll take away:
- A proven framework to evaluate the right level of autonomy for your product’s features.
- Design guardrails to build AI that’s both smart and safe, protecting user trust while accelerating innovation.
- Scalability insights from leading teams on how to support agentic AI at enterprise scale.
Meet your experts:
Michael Nadel – Head of Product & Engineering, Alloy Automation
Michael leads the product and engineering teams building Alloy’s automation and AI infrastructure. He’s passionate about bridging the gap between innovation and reliability.
Jonathan Lee – Director, Product Management, Alloy Automation
Jonathan drives Alloy’s AI product strategy, helping teams design intelligent systems that deliver measurable impact – just impressive demos.
Ready to turn AI theory into practical product reality?
Don’t just build faster, build smarter.
Save your spot now and learn how to design AI that actually works.
