Adding AI Features Without Breaking Trust

Users forgive slow AI; they don't forgive wrong AI presented as fact. Every generative surface needs confidence labeling, source attribution where possible, and a human-readable fallback path.

Keep prompts and model calls server-side. Log redacted traces for debugging, never ship API keys to the client, and rate-limit per user to control cost and abuse.

Start with narrow tasks, summarization, classification, search, before open-ended chat. Narrow scope improves quality and makes evaluation measurable.

Privacy-first deployments (on-prem or regional inference) are increasingly a sales requirement in enterprise deals, design for data residency from day one.