Your AI shouldn’t just work in the demo. It should work in production.

Join us for a high-impact, no-fluff Mini Summit focused on building AI applications that can withstand the real world — where APIs fail, users take days to respond, and servers crash without warning. Whether you’re deep into building with LLMs or just starting to explore how to operationalize your AI systems, this event is packed with practical insights, real-world strategies, and modern tooling to help you ship reliable AI that doesn’t break.

What’s on the agenda?

🔹 Process Calling: Agentic Tools Need State

Function calling gave LLMs a way to "do" things — but it’s not enough. When you’re building agents for customer-facing use cases, stateless abstractions fall short fast. Learn why the future of agentic tooling is process-based, not function-based, and what it means to build agents that remember, recover, and reliably finish what they start.

🔹 Building Reliable AI Applications with Durable Workflows

Chaining functions together is easy. Keeping AI workflows running when things go sideways? That’s the hard part. This talk introduces durable workflows — systems that checkpoint state, recover automatically, and gracefully handle everything from human delays to API flakiness. You’ll see real examples of AI pipelines that stay resilient in production.

🔹 No YAML? No Problem: Orchestrate Kubernetes Workflows the Easy Way with Python

Sick of writing orchestration logic in YAML? You’re not alone. Discover how Hera, the Python SDK for Argo Workflows, lets you express complex Kubernetes workflows using clean, testable Python code. Keep your business logic and orchestration logic in one place — no indentation nightmares required.

Who should attend? AI engineers, MLOps professionals, infra leads, and builders who care about more than just flashy demos. If you're looking to make your AI actually work at scale, this one's for you.

RSVP now and start building AI that doesn’t break.

Building AI That Doesn’t Break