Index listing of all 9 items tagged with #ai.
A practical map of the layers that make modern LLM applications reliable: model access, retrieval, orchestration, interfaces, and governance.
A governance-first interaction model that extends Norman's stages for AI-assisted work.
Why natural language is an interface for machine behavior, not just a conversation.
Kill the 'AI brain' myth. A model is a statistical engine that predicts the next likely token, not a mind that understands intent.
Why AI projects often stall after promising demos: weak integration, missing governance, low observability, and unclear adoption design.
Confidence is fast, but understanding is earned with time and proof.
A governance-first loop for AI-assisted work, inspired by Norman.
A strategy deck on choosing architecture, operating model, and AI roadmap for 2026.
Codex, Claude, Gemini, and Azure via terminal for power use.