Stop debugging prompts in production.
Compile them first.
The internal tooling I use to develop and stress-test LLM prompts before shipping them in MetricPilot — chained across 3 providers with deterministic fallback.
Production AI on data warehouses needs prompts that don't fail silently.
You ship a prompt to Cortex Analyst. It works in dev. In production, it hallucinates a table name. Customer sees fake numbers. Trust evaporates.
The fix is engineering discipline applied to prompts: versioning, diffable outputs, multi-provider validation, traceable failures.
No prompt-tuning UI ships that discipline by default. So I built one.
Compile, don't pray.
Decompose
Break your raw prompt into instruction layers. See every gap explicitly.
Chain & fallback
Run across Groq → Gemini → Cerebras. If one provider drops, the next picks up.
Diffable output
Same input, same output. Versioned. Audit-able. Production-ready.
The lab is auth-gated.
Drop in a prompt. See the chain run. Inspect the divergences. Sign-in required (allowlist controls live access during private engagements).
Open the labWhen I build AI workflows for clients on Snowflake Cortex, I bring this discipline. Prompts are versioned. Outputs are diffable. Failures are traceable.
MetricPilot — my revenue root cause engine — runs entirely on prompts developed and stress-tested here.