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Every AI team hits the same wall: your agent works on demos but breaks on real data. The context is wrong, incomplete, or doesn't scale.
The models are good enough. The hard part is everything around them - feeding agents the right context from large, complex data environments so they actually produce reliable results in production.
After a sold-out debut (200+ waitlisted) in February, Context is King is back in SF. This is a meetup for engineers & builders working on the hard, non-flashy problems of making AI agents actually work on real-world data at scale.
Expect practitioner-led talks & demos, no pitches. If you're building agents or AI systems that need to reason over large, evolving data environments, this one's for you.
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