Prove It: An AI Architecture Meetup

​Deterministic Cores, Probabilistic Shells

​Your AI gave you a number. Can you prove where it came from?

​Enterprise AI is converging on a single pattern - natural language in, blended answer out. But two non-deterministic LLM hops sandwiching a deterministic SQL query means you lose governance the moment you blend. Same question, different day, different answer - with no way to audit which part came from the database and which was inferred.

​Join us for a practitioner-level evening on the architectural problem no one wants to talk about:

• ​The two-hop problem - where determinism breaks in the NL2SQL pipeline.

• ​Cross-system entity resolution - why warehouse-centric approaches hit a wall at system boundaries.

• ​Cost stacking - the real per-question economics of layered architectures.

• ​Competitive overlap - what happens when Snowflake Intelligence covers the same use case natively.

​Plus a live demo: a sales rep's full book of business queried in natural language, where every dollar traces to SQL and every risk signal traces to a specific transcript. No blending. No black boxes. Full traceability.

​Who should attend: Engineering and data leaders evaluating AI architecture, CTOs building conversational data interfaces, data platform architects working across structured and unstructured sources - and anyone who's been asked "where did that number come from?" and couldn't answer.

​📅 June 24th 2026| 📍 Joe Willy's | 🕠 4:00-6:00 PM

​Space is limited. Come ready to debate.