How do you ship AI features customers trust?
Ground responses in customer data, show citations, log failures, and provide human fallback when confidence is low.
RAG pipelines need evaluation sets from day one. I wire retrieval, prompt templates, and quality dashboards before marketing an AI feature.
What guardrails matter after launch?
Rate limits, PII filters, topic boundaries, and regression tests on every model or prompt change.
Agentic workflows need kill switches and audit trails. Trust compounds when users see consistent, verifiable answers.
