AI Prompts

Attribute warehouse, lake, and streaming spend to teams and data products with guardrails that cut cost without silently dropping SLAs.

Turn legal, business, and cost constraints into enforceable data lifecycle and retention policies.

Find expensive warehouse queries and recommend practical cost reductions, from rewrites to materializations, without changing results.

Set cost, latency, and error budgets for an LLM gateway, then design routing, caching, and fallback that stay inside those numbers at peak.

Specify traces, metrics, and redaction for production LLM calls so on-call can debug quality, cost, and tool failures without storing raw secrets.