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April 2-3, 2026
New York, NY
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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.


Friday April 3, 2026 9:20am - 9:30am EDT
  • Large language models excel at navigating information spread across files, tools, and systems. They can grep, synthesize, and reason about what to look for in response to user prompts. And while this capability improves, a different constraint is emerging: semantic alignment.
  • This talk focuses on the premise of context engines. These are systems that encode how an organization’s knowledge is structured and interpreted. In many companies, a term like “customer,” “account,” or “environment” means different things depending on the team or workflow. A context engine captures those relationships and semantics, making them usable both for search and as structured context for LLMs.
  • Unlike naive RAG approaches that retrieve documents, context engines provide meaning. They help LLMs interpret intent, disambiguate internal terminology, and reason within the mental model of a specific organization or domain. The same semantic layer that improves search also improves prompting, tool selection, and response quality.
  • We’ll explore why the “C” in MCP matters more than ever, how context engines complement modern LLM workflows, and what it looks like to move beyond tools toward shared, durable context.

Speakers
avatar for Ryan Cooke

Ryan Cooke

Engineering Lead, WorkOS
Ryan Cooke is a technologist and founder with two decades of experience building early-stage startups. Despite several founding roles, he remains a developer at heart, drawn to hard problems in information retrieval, security and data modeling. He’s led engineering teams across... Read More →
Friday April 3, 2026 9:20am - 9:30am EDT
Broadway Ballroom (6th Floor)

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