Architecting Reliable Agentic AI
The engineering and governance decisions that separate production-ready agents from impressive demos.
A visual deep-dive into the design choices — RAG architecture, hop reduction, tool discipline, evaluation infrastructure — that determine whether an agentic AI system can be trusted in production at enterprise scale.
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Combating Latency & Hallucination in Agentic Enterprise SaaS
Latency and hallucination are not bugs to be patched late in the cycle — they are first-class design constraints. This PM's playbook maps every failure mode, engineering mitigation, governance gate, and stakeholder conversation needed to ship reliable agentic systems in regulated enterprises.
Reliable AI Agents for Enterprise Production
The gap between an AI agent demo and a production-grade system that a regulated enterprise will actually deploy is wider than most teams expect. This episode covers the architecture, evaluation discipline, and PM governance required to close it — and to keep it closed.