Agents in Production: The Full Stack

Agents are getting better. The models are getting better. And yet teams are still shipping the same pile of workarounds they were shipping eighteen months ago. A vector store here, a graph database there, some glue in the middle, and a lot of... hoping for the best?

The problem has shifted from "can we build agents" to "how do we build agents that actually hold up." That's the conversation we're having in San Francisco on June 30.

We're bringing together engineers working at different layers of the stack - from the frameworks structuring agent behaviour, to the deployment and frontend layer, to the data substrate underneath it all.

Come with your production problems. We'll have food, drinks, and people worth talking to.

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​Tobie Morgan Hitchcock  (CEO & Co-Founder, SurrealDB)

​The Road to Agent Consciousness

​We talk about agents that think, reason and remember. Strip away the demo and most of them have a context window and a prayer - they re-read a transcript each turn and hope the right thing is in it. Tobie takes the data-layer view of what it would take for an agent to hold something closer to a mind. He'll walk through Spectron, SurrealDB's memory and knowledge layer: memory that persists across sessions, reconciles what an agent is told against what it already knows, tracks what was true and when, and can always say where a belief came from. Cognition is a memory problem before it's a model problem - and he'll show it running live.

​Priya Balgi  (Senior Business Intelligence Engineer, AWS)

​Why Your Agent's Data Layer Can't Be an Afterthought: Building Production AI Infrastructure for 20K+ Stakeholders

​AI agents often get the spotlight, but the real challenge begins when you try to operate them reliably in production. Drawing from her experience building AI-powered systems used by more than 20,000 stakeholders at AWS, Priya explores the data infrastructure patterns required to move beyond prototypes and demos - covering data pipelines, evaluation frameworks, governance mechanisms, and the operational controls that help reduce hallucinations, improve reliability, and build trust in AI-generated outputs.

​Speaker from Vercel - Talk TBC (announcement coming soon)

​About the speakers

​Tobie Morgan Hitchcock (CEO & Co-Founder, SurrealDB)
Tobie Morgan Hitchcock is CEO & Co-Founder of SurrealDB. He is an experienced tech entrepreneur, developer, and software engineer, with 17 years' experience in the software and cloud-computing industries. He has a focus on distributed databases and highly-available architectures.

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Priya Balgi (Senior Business Intelligence Engineer, AWS)
Priya Balgi is a Senior Business Intelligence Engineer at AWS who spends her time solving a problem many AI teams discover too late: reliable AI requires reliable data. Drawing on more than a decade of experience building large-scale data platforms and analytics systems, she focuses on the evaluation, governance, and infrastructure needed to make AI work in production. Her passion lies in turning promising prototypes into systems people can actually trust.

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Speaker bio (Vercel) to follow.