The plan appears before execution.
Spotonix shows the terms, calculations, filters, and assumptions that will drive the answer.
Shows Its Work
Spotonix shows every interpretation before execution, then compiles SQL only from the accepted plan.
What Shows Means
Most AI analytics products ask you to trust the final answer. Spotonix shows the reasoning path first. The visible plan is what lets the data team approve, reuse, and explain the answer.
Spotonix shows the terms, calculations, filters, and assumptions that will drive the answer.
If the plan does not close, Spotonix surfaces the ambiguity instead of pretending the answer is reliable.
The LLM proposes. The system verifies. The final query follows from the plan.
The accepted interpretation can be reused, inspected, and explained later.
Verification Workflow
The LLM is useful, but it is not the source of truth. The accepted plan is what the system verifies, reuses, and compiles.
The LLM proposes a plan over validated Segments and Calculations instead of writing the answer directly.
The system checks that every concept resolves against the Context Graph and that ambiguity is handled.
Once accepted, SQL compiles deterministically and the reasoning remains attached to the answer.
The answer is built from named business logic, not a raw generated query.
The plan is accepted only when the algebra closes.
The output is deterministic because the plan is the substrate.
Why It Matters
The system earns trust by exposing the reasoning path, not by asking for blind acceptance.
Definitions, assumptions, and execution lineage are attached to the answer.
The answer is not just a number or chart. It carries the interpretation that produced it.
The accepted plan can be reused, so the system does not improvise a different query next week.
Continue the Frame