Paul Lacey's Blog Posts
Paul leads product marketing and AI engineering teams at Galileo (now a part of Cisco). As a former hardware and software engineer, he focuses on helping teams deploy AI agents with comprehensive observability and guardrails. Prior to Cisco, Paul led marketing teams at several Data & AI companies. He holds a degree in Electrical Engineering from Cal Poly, San Luis Obispo.
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Show What Your Agents Are Worth With Tokenomics
We are launching Tokenomics by Splunk soon to be available on AWS Marketplace.
Token Meter: A Live Cost Meter for Your Coding Agents
See what your coding agents cost before the bill arrives. Token Meter tracks Claude Code, Codex, and Cursor usage live — free, open source, and 100% local.
The Tokenomics of Trust: Evaluate Everything, Not a Sample
Most teams evaluate 10% of AI traffic because judging quality is expensive, so the costly failures hide in the unchecked 90%. Here's how to score all of it.
When You Repatriate AI, the Invoice Disappears – The Cost Doesn’t
Here's how to measure GPU, memory, and token cost together so you know what your AI really costs.
Effective Cost, Not Token Count: How To Tell if Your Tokens Are Paying Off
Token count tells you how much AI you used, not whether it was worth it. Here's why effective cost, measured against quality with evals, is the metric that matters.
AI Is Amazing, the Bills Are Not: Why Tokenomics Is the New FinOps
Agentic AI spends unpredictably and providers are repricing toward the meter. Here's why enterprises are repatriating AI to their own hardware, and what it takes.