AI agent cost: what agents really cost to run
AI agents bill like consumption, not subscriptions. Here's what they really cost to run, why costs multiply behind each request, and how to think about cost per agent.
Ai4 2026: Measuring AI spend is solved. Now it’s time to prove its worth.
A recap from Ai4 2026 in Las Vegas: why measuring AI spend is now the easy part, and proving it's worth it is the gap CloudZero's unit-economics approach closes.
Cloud architecture: what it is, how it works, and what it quietly costs you
In this guide, we cover what cloud architecture is, its benefits, how it compares to on-premise setups, and best practices for cost-effective design.
What are AI tokens? The unit your AI bill is written in
A plain-English explainer on AI tokens: what they are, how token pricing works, and why AI bills keep climbing even as per-token prices collapse.
Generative AI ROI: benchmarks and how to prove it
Generative AI ROI benchmarks contradict each other: 74% see ROI in a year, 95% of pilots show none. The difference isn't the AI, it's whether you can measure cost and outcome per use case. The benchmarks, the math, and how to prove your number.
AI cost reduction: tactics that preserve performance
A finance leader's guide to AI cost reduction: what drives AI spend, the tactics that cut it without hurting performance, and how to prove AI ROI on every dollar.
AWS EventBridge: how it works, what it costs, and when to use it
What AWS EventBridge is, how its event bus routes events to targets, how its pricing works, and why the real cost lives downstream in everything your events trigger.
Azure cost calculator: how to estimate Azure spend before the bill does it for you
How to use Microsoft's Azure pricing calculator, what real 2026 workloads actually cost across compute, storage, and AI, and why the estimate and the invoice keep disagreeing.
LLM cost optimization: 7 strategies to cut inference spend
Model routing, prompt caching, and batching are the three highest-leverage LLM cost optimization moves, commonly cutting 40 to 70% on routed requests and up to 95% when stacked. Here are all seven strategies ranked by impact, plus why the real metric to track isn't cost per token but cost per outcome.
Agentic AI cost: why agents burn tokens and how to control it
An AI agent uses roughly 4x the tokens of a single chat, and a multi-agent system about 15x, because every loop, tool call, and growing context gets re-billed on each step. Here's what that means for cost per task, the levers that keep it in check, and why teams that can't prove agent ROI cut the initiative first.