The Reliability Stack: Engineering AI Agents that Actually Reach Production

Enterprise AI in 2026 has a production problem. The agentic systems that impressed in pilots are failing in the field — not because the models aren't capable, but because the infrastructure running them wasn't built for the complexity of real-world workflows. Multi-step tasks stall. State disappears mid-execution. A single API failure takes down an entire pipeline.

But engineering teams are finding their way through. A new class of infrastructure patterns is emerging—built around automatic failure recovery, persistent workflow state, and guardrails that keep agents on track when external systems behave unpredictably.
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At this event, we're bringing together the practitioners who have crossed that threshold to share what the playbook actually looks like: how they structured their agent workflows, where they drew the architectural lines, and what it took to go from a fragile pilot to a system their business depends on.