Reproducible, inspectable, policy-verified execution — the difference between an AI demo and a system you can put in production and hand to your auditors.
When an agent takes a different path each run — skipping a check here, improvising a query there — risk and compliance say no, and they're right. Most agent stacks can't prove what happened, let alone reproduce it.
What this layer gives you.
Every request compiles into a structured plan — a graph of checkable steps run in order, not one opaque prompt. You can read exactly what ran and replay it.
Vetted, parameterized SQL runs verbatim with no LLM in the loop — bit-for-bit reproducible in strict mode.
Deterministic contract and guardrail checks must pass between steps and before any result is returned.
The execution plan, reasoning trace, sources used, and tables touched are recorded for every single run.
Dates like "last quarter" are resolved up front, so the model never does its own error-prone date arithmetic.
Above the fog
Every run leaves a trace you can replay.
One integrated stack, GPU to Agent. This layer, in context.