Shipping AI features that survive production traffic

Demos love a slick prompt; production loves latency budgets, failure modes, and audit trails. The gap between the two is where AI projects quietly lose trust.

Design for degradation

• Timeout and fallback paths when the model or vendor flakes.
• Structured outputs validated before they touch user-visible state.
• Logging that ties a bad answer to inputs without storing secrets.

Connect research to your product surface

If you are wiring assistants, summarization, or classification into a real app, the implementation work is still product engineering. See how Web Is approaches AI-powered tools and web delivery, then bring your use case to a discovery session.