Resource Hub
Resources
A focused library for the new thesis: enterprise data agents need a real context layer, not just better prompts.
Agent Context Audit
The active EXP-003 landing page testing whether the pain framing or infrastructure framing earns more serious follow-up from agent builders.
Open →Core ResourceYour Data Agents Need Context
The core thesis page: why enterprise data agents fail without living business and system context.
Open →Blog PostThe Context on Context
A companion post on why context layers have suddenly become central to enterprise AI conversations.
Open →SectionHow We Got Here
Jump straight to the market evolution from modern data stack to the first wave of failed agent deployments.
Open →SectionBeyond Text-to-SQL
A closer look at why the hard part is often meaning, definitions, and trusted source selection rather than query generation alone.
Open →SectionContext Layer vs. Semantic Layer
Why semantic definitions matter but still do not capture the full operating context agents require.
Open →SectionMarket Direction
A quick market map spanning warehouse-centered platforms, AI analyst tools, and dedicated context-layer companies.
Open →