ALT Diagram of the ~2026 post-AI data stack. Every source now sits inside the reachable boundary: unstructured data (Gong calls, emails, docs, code), clickstream, third-party tools, and OLTP databases flow through managed ETL into data stores — Snowflake for structured data, Turbopuffer for unstructured — modeled with dbt, with Reverse ETL out to operations. New in blue: a data agent harness of tools, models, and skills sits between the stores and the interfaces (coworkers, coding agents, Slack bots, AI-native BI tools), fed by company context — semantic layer, lineage, domain docs, activity metadata — through progressive disclosure. An orange feedback loop routes artifacts, analysis, decisions, usage, and evals back into that context.