Shipping AI features to production (and not regretting it)

Demos are easy. Production AI is hard. Here is what we have learned building AI features for enterprise clients. **The three pillars:** 1. **Evaluation** — define what "good" means before you build. 2. **Cost control** — cache aggressively, route intelligently. 3. **Safety** — guardrails, fallbacks, and human-in-the-loop where it matters. We cover RAG pipelines, semantic search, LLM agents, and how to measure them.