A technology company founder with one belief — the best time to build for a trend is before everyone sees it.
15+ years running Entexis. Sits with founders and CTOs from the first scoping call through launch and beyond. Owns the quality bar every engagement is held to, and stays hands-on in the calls where the important decisions get made.
Modern users abandon AI responses above 1.5 seconds. Engineering retrieval at 200ms and full responses at 1.5s requires deliberate optimization across 4 layers: retrieval, prompt assembly, inference, response handling. The 5 patterns and the architecture.
Single-model deployments lock you into bad tradeoffs. Multi-model routing cuts cost 60-80% on mixed workloads while improving quality on hard cases. The 4 routing strategies, 5 production patterns, 4-layer architecture, payback in 90 days.
Production AI without evaluation is production AI you hope is working. The 3 evaluation dimensions every system needs (retrieval, faithfulness, end-task accuracy), the 5 patterns that keep evaluation continuous, and the 4-layer architecture.
Your CFO will ask 5 specific questions about AI in 2027. The 4 audit artifacts that answer them and the artifact chain pipeline that turns the audit into a database query.
Most mid-market AI use cases under 100k chunks do not need a vector database. The 3 architecture patterns (in-memory, embedded, dedicated), the 5 selection criteria when you do need one, and the architecture that makes vector storage decisions reversible.
RAG and fine-tuning solve different problems but most teams treat them as interchangeable. RAG wins 85-90% of mid-market use cases; fine-tuning wins for domain language, format conformance, latency bounds. The 3 cases fine-tuning wins, 5 RAG patterns, 4-layer architecture.
Hotels are using AI to replace 40% of operational headcount in specific categories while keeping guest satisfaction stable. The 5 workflows, integration patterns, and workforce transition discipline.
Production AI is not a hardened prototype; it is a different architecture with 7 explicit layers. The data, model abstraction, retrieval, prompts, evaluation, cost, and observability layers prevent specific failure modes. Build them from day 1 or rewrite within 12 months.
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