Writing

A short implementation pattern for proactive analytics: detect, explain, and act in one loop.

A concise definition of AI agent cost ROI based on accepted outcomes per euro including failure and cleanup cost.

Both sit between your agents and model vendors — but OpenRouter and LiteLLM solve different routing problems. A practitioner comparison for agent orgs, not an affiliate listicle.

Agentic cost engineering is the practice of routing each agent task to the cheapest capable model and role — then measuring ROI with failure priced in. Not generic AI spend tips.

A compact done definition for autonomous content organizations based on approvals, role separation, alerts, and feedback loops.

A compact operating note on domain fixtures for model routing: one pack for content voice and one for warehouse SQL correctness.

Dashboards failed because they never entered daily action. Generative AI is repeating the trap with decks, drafts, and more boards. The shift is embedding agents into operations with policy and ROI discipline.

A compact role-based spend policy pattern for multi-agent systems with explicit caps, model lanes, and approval boundaries.