Data Analysis Assistant — Canonical Workflow

What this reference supports

A data analysis assistant translates natural-language questions into SQL or code, runs it in a sandboxed execution environment, and explains the result in plain language, pairing a code-capable reasoning model with constrained execution and observability, a pattern closely related to coding-copilot and research-assistant workflows and often used by non-technical analysts.

Use this page to check which reasoning models and serverless-api or managed-container execution architectures fit your data environment, and which coding benchmarks such as HumanEval are relevant evidence for query-generation reliability on schemas like yours, including nested joins and time-series aggregations.

This is provisional decision support, not a guarantee of query correctness. Sandbox execution reduces but does not eliminate risk from generated code — validate outputs against known-correct queries, watch for subtly wrong aggregations or joins, and restrict write permissions in the sandbox to reduce blast radius from an incorrect or malformed query on shared production data stores and warehouses.