What it really takes to get AI into production

About this session

You can wire a prompt to an API and have something impressive working before lunch. Shipping it, and keeping it running, is a different job entirely.

In this technical session, Strongly.AI walks the full production stack that sits between a clever prompt and a system you can defend to security, finance, and your own on-call rotation: the AI gateway, evaluation harnesses, retrieval and knowledge, identity propagation, guardrails, cost control, tracing, and Day-Two operations.

The thesis is simple: the prompt is the easy 5%, and production is the other 95%. You'll leave with a reference architecture for the whole stack and a clear view of which parts you should never build from scratch.

What we'll walk through

The full stack behind the prompt:

• The AI gateway - one controlled entry point to every model.
• Evaluation harnesses - how you know it actually works, and keeps working.
• Retrieval and knowledge - grounding answers in your own data.
• Identity propagation - the user's permissions, all the way down.
• Guardrails - input, output, and everything you can't allow.
• Cost control - spend you can see and cap before the invoice.
• Tracing and observability - what happened, and why.
• Day-Two operations - keeping it alive after launch day.

What you'll take away

• A reference architecture for the whole production stack.
• A clear view of which parts you should never build from scratch.
• A shared language for defending your AI system to security, finance, and on-call.

Who should attend

Engineers, architects, and technical leaders taking AI from a working prototype to a system that survives production and Day Two. A real technical session, not a vendor pitch.

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