Matching token prices do not mean matching costs
Matching input and output base rates do not make two AI models equally expensive. Compare context tiers, caching, effort, retries, and cost per accepted result.
Fluent AI
ai-strategy
How to read an AI changelog without being sold to
Read release notes for capabilities, material improvements and operational changes. A practical filter for deciding what deserves investigation.
Intermediate AI
The five-minute AI workflow audit
A five-minute kickoff for a week of observing repetitive work, waiting and rework. Find a candidate, estimate the benefit and test the cause before buying tools.
Beginner AI
What “agentic” actually means
The word is doing too much work. Here is the distinction that matters, and the four questions that tell you what you are actually being sold.
Beginner AI
Why AI tools fail in the second month
A promising pilot can lose momentum in routine work. How to investigate task fit, verification effort, support and ownership before blaming one cause.
Master AI
How to evaluate an AI tool in a week
A five-day screening plan for one AI task: approved test data, explicit criteria, measured checking effort and a decision about whether to run a larger pilot.
Fluent AI
When not to use AI
The most useful skill with these tools is recognizing the cases where they are the wrong answer — and several of them look like ideal candidates.
Master AI
An AI policy people will actually follow
A practical staff-facing AI policy names approved accounts, data limits, verification rules and escalation. Keep it readable and connect it to the controls behind it.
Master AI