Building AI Agents That Actually Ship

The gap between an impressive AI demo and a production agent is enormous. A demo needs to work once; an agent needs to work ten thousand times, safely, on inputs nobody anticipated.

Ground everything in retrieval

Hallucination is the number one reason agents fail in production. The fix is not a better prompt — it's grounding. Every claim the agent makes should trace back to a retrieved, citable source. If the retrieval returns nothing relevant, the agent should say it doesn't know and escalate.

Design for human handoff from day one

The best agents know their limits. Build confidence scoring into every response and route low-confidence cases to a human with full conversation context attached. Users forgive an agent that hands off gracefully; they never forgive one that confidently lies.

Instrument deflection and CSAT

You cannot improve what you do not measure. Track deflection rate, escalation rate, and customer satisfaction per intent. These numbers tell you exactly where the agent is strong and where it needs more grounding data.

Ship small, ground hard, measure everything — and your agent will earn trust instead of eroding it.