Agentic AI Starter Blueprint

This sample document describes a three-phase rollout for an agentic AI product.
Phase 1 focuses on foundation setup: define agent roles, tool contracts, and safety rules.
Phase 2 focuses on retrieval quality: ingest trusted documents, track chunk relevance, and tune top-k.
Phase 3 focuses on production hardening: observability, evaluation loops, and incident playbooks.

A reliable RAG pipeline should return grounded answers that cite retrieved context.
When context is weak, the assistant should explicitly ask for clarification.