Context will define the future we build with AI.
Context/26 is where the ecosystem defines the discipline.
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WHY NOW
Artificial general intelligence is nearly here.
Frontier models write production code, pass graduate exams, and power consumer apps millions of people trust with real work every day.
And still, 42% of companies scrap most of their AI pilots.
The reason is that the smartest models are all trained on generic knowledge, not specific, localized knowledge. They aren’t tuned to how the people in an organization work together. Their shared knowledge, expertise, and judgement. Their shared context.
And in a world where every organization has access to unprecedented forms of intelligence, the abundance we create will be defined by how well we can teach AI about our individual reality.
Context will define the future we build with AI.
We call this next frontier ‘contextual intelligence’, and Context/26 is where the ecosystem comes together to shape the discipline.
OUR BELIEF
context is
culture
It is the collective knowledge that is created by people engaging in work together. It is the way people work, the words they use, the hidden relationships they understand.
WHY JOIN CONTEXT/26
Curated
We’re bringing together the biggest voices in AI and the deepest thinkers on context, in one room. No sponsored slots or product demos in disguise. We’re striving for the highest signal-to-noise ratio.
Unfiltered
No space for corporate talking points or rehearsed positioning. Leaders will bring real reference architectures and share stories of what's actually working and what’s broken in their own AI programs.
Connected
This is a community event. You’ll participate in open AMAs with speakers, discuss challenges at peer roundtables with the other AI leaders and architects, and contribute to pushing the boundaries of AI.
INDUSTRY VOICES
“Context engineering — the delicate art and science of filling the context window with just the right information — is the real work.”
Andrej Karpathy
Anthropic
WHAT WE'LL DISCUSS
WTF is context: settling the debate
The industry conflates half a dozen things with context: context platforms, semantic layers, ontologies, knowledge graphs, memory, data catalogs. We’ll bring together thought leaders from every space to converge on a ratified lexicon you can standardize on internally.
Questions we’ll answer:
- Semantic layers vs. knowledge graphs — what's the real difference?
- What is the role of an ontology and does every organization need one?
- What are the different types of memory, and where does each one sit in the stack?
- Are skills a type of context? Where do they live and who owns them?
Context is IP: the path to owning your moat
The knowledge that makes AI act human belongs to your people and is your organization’s biggest differentiator. The single most consequential strategic choice that organizations will make is how they keep their context open and portable.
Questions we’ll answer:
- What format is the industry actually converging on?
- Should your context live inside your system of data?
- Frontier model leadership rotates every few months now. How much should surviving a model swap shape your AI strategy from day one?
Context in production: reference architectures and implementation stories
We’ll bring together organizations that are leading the charge on building AI agents with open context.
Questions we’ll answer:
- What do real reference architectures actually look like?
- What are the most successful agentic use cases so far?
- What are the concrete steps to building context, end to end?