agentic-ai

Coverage of AI systems that plan, act, and pursue goals across multiple steps rather than answering a single prompt. Expect practical guidance on designing, deploying, and operating agents: architecture patterns, failure modes and the false assumptions that break them at scale, cost accounting beyond raw token spend, and the governance needed to keep autonomous workflows reliable. Written for practitioners building agents that hold up in production.

Analyst viewing a dashboard of seven glowing cost panels, illustrating FinOps AI spend tracking.

finops-ai, agentic-ai, ai-cost-management, token-spend, ai-governance

The 7 Hidden Costs of Agentic AI: A FinOps Framework for Token Spend

Most agentic AI programs obsess over token spend while ignoring six other cost categories that never appear on a single invoice. This FinOps AI framework names all seven costs, their hiding places, and the budget owners responsible for each.

Balance scale comparing one large AI model against many small routed models in an agentic AI system

agentic-ai, ai-system-design, llm-safety, prompt-injection, ai-architecture, model-routing

Six Fallacies That Break Agentic AI Systems (And How to Design Around Them)

Six false assumptions break most agentic AI systems before they scale. This post names each fallacy, documents the real-world damage it causes, and outlines the design patterns that prevent it.