Production AI Architecture Review

A 90-minute deep review of an AI or LLM system you're building or planning to ship. We go through the architecture end to end: orchestration, prompt management, caching, evaluation, cost and latency, and the parts that decide whether it survives real users or stays a prototype.

This is for teams and engineers past the demo stage who need an experienced read before committing to a design or putting it in front of customers. I'll tell you where it holds up and where it doesn't.

The patterns I work with in production (semantic caching, hallucination assurance, structured prompt schemas) are the ones most teams hit later and wish they'd designed for earlier.