STARTS MAY 12TH · BI-WEEKLY · LIVE
WTF IS THE
A bi-weekly live series for AI leaders and builders. One burning question per episode, an open AMA floor, and guests who've actually built context infrastructure.
HOW DO GRAPH DATABASES AND THE CONTEXT LAYER FIT TOGETHER?
Emil Eifrem and Prukalpa Sankar agree on the problem: enterprise AI fails when agents can't navigate the relationships that give data meaning. Emil argues graph databases are the foundation. Prukalpa argues graph databases store structure, but the context layer carries meaning, governance, and lineage. They join Austin to work toward a shared picture of what enterprise AI actually needs.
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Context is having a moment. Every new startup, and legacy business, is now a context company. The LangChain CEO called context engineering the defining skill for AI. Even MIT published a piece on context being the single biggest reason for AI failures.
And in all of this noise, you're still left with real questions nobody's answering. This series is built to work through your questions, with guests who actually know what they're talking about.
Why do my AI agents keep getting enterprise data wrong?
WTF IS THE
CONTEXT LAYER
How do I give AI the context that lives in my people's heads?
WTF IS THE
CONTEXT LAYER
How can I make sure our organizational context stays our own?
WTF IS THE
CONTEXT LAYER
How do I actually know if my context layer is working?
WTF IS THE
CONTEXT LAYER
Who should own the context layer?
WTF IS THE
CONTEXT LAYER
What does an AI team look like when it owns the context layer?
WTF IS THE
CONTEXT LAYER
Is context engineering a real discipline?
WTF IS THE
CONTEXT LAYER
How do you know when your context layer is good enough to ship an agent?
WTF IS THE
CONTEXT LAYER
Does every company need one, or is this only for large enterprises?
WTF IS THE
CONTEXT LAYER
Why do my AI agents keep getting enterprise data wrong?
WTF IS THE
CONTEXT LAYER
How do I give AI the context that lives in my people's heads?
WTF IS THE
CONTEXT LAYER
How can I make sure our organizational context stays our own?
WTF IS THE
CONTEXT LAYER
How do I actually know if my context layer is working?
WTF IS THE
CONTEXT LAYER
Who should own the context layer?
WTF IS THE
CONTEXT LAYER
What does an AI team look like when it owns the context layer?
WTF IS THE
CONTEXT LAYER
Is context engineering a real discipline?
WTF IS THE
CONTEXT LAYER
How do you know when your context layer is good enough to ship an agent?
WTF IS THE
CONTEXT LAYER
Does every company need one, or is this only for large enterprises?
WTF IS THE
CONTEXT LAYER
What are your burning questions about the context layer?
UPCOMING SESSIONS
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Emil Eifrem and Prukalpa Sankar agree on the problem: enterprise AI fails when agents can't navigate the relationships that give data meaning. Emil argues graph databases are the foundation — the layer that maps how entities and relationships connect. Prukalpa argues: graph databases store structure, but the context layer carries meaning, governance, and lineage. They join Austin to work toward a shared picture of what enterprise AI actually needs.
QUESTIONS WE'LL TACKLE:
- What actually counts as a context layer?
- Is a graph database a foundation, a component, or one option among several for the context layer?
- A graph database maps how everything connects. Is that enough for AI to trust the data?
- Graph databases aren't new to enterprise. So why is the context problem still unsolved?
Late last year, Jaya Gupta called the context graph AI's next trillion-dollar opportunity: the reasoning behind a company's decisions that systems of record never stored. The post set off a wave of debate across the field. What it left unsettled is whether a strong graph is enough alone, or whether reliable AI needs the context layer around it, the wider system that governs how those decisions get used. Jaya joins Austin to work through what a context graph must hold and where it stops.
QUESTIONS WE'LL TACKLE:
- How much of the reasoning behind a decision can actually be captured as data?
- How does a context graph stay accurate when the enterprise changes?
- What happens when an agent faces a decision the context graph has never seen?
- What keeps two agents using the same context graph from contradicting each other?
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