How much does an AI agent really cost (and what does it depend on)
An AI agent has two costs: building it and running it, with the second cost increasing with usage. What does the expense really depend on, and how to reason in terms of return?.
Simple and concrete insights to understand how to use artificial intelligence, automations, digital tools, and operational technology without wasting time on fads, acronyms, and complicated solutions.
An AI agent has two costs: building it and running it, with the second cost increasing with usage. What does the expense really depend on, and how to reason in terms of return?.
What is the Model Context Protocol, why is it different from a custom integration, and how to securely connect an AI agent to your tools, starting with just one.
What are LCP, INP, and CLS, why do they matter for user experience and SEO, and how to concretely improve them. With Google's official thresholds and the first step to measuring them seriously.
Structured data and Schema.org are the language with which you explain to machines what's on your pages: what they're for, a practical example, and where to start.
The AI Act Risk Pyramid Explained with Examples: Prohibited Uses, High Risk, Limited Risk, and Minimal Risk. And the rule that almost everyone gets wrong: it’s the use that matters, not the tool.
Claude Chat, Claude Cowork, and Claude Code seem similar but do different things. A practical guide to their differences, with examples and when to use each.
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