Writing on AI, without the hype.
Practical writing on AI implementation for businesses that want to get it right.
What does failure look like when the work looks finished?
Traditional software fails loudly. AI fails quietly, and a lack of complaints doesn't mean it is working. Three ways to catch and track the failures nobody reports.
Read →The cost of AI adoption
AI gets you 80% of the way. The last 20% is security, accessibility, legal soundness, and longevity, and that is the part you still pay an expert for.
Read →Normalization in AI
Your AI is writing slop, how can you fix it? Why AI smushes all of us into one universal lexicon, and three tactics for putting your own back in.
Read →Why Human-AI UX (HAX) determines the future of business
AI customer support fails when it is built to cut costs instead of solving the problem the customer showed up with. Four HAX dimensions to evaluate before you ship the bot.
Read →Moving past the AI replacement myth
AI is not a 1-to-1 replacement for people. What it can't inherit, why automation bias is the real risk, and four ways to use it without handing it work it can't handle.
Read →Do you really need all this AI?
AI is costing most businesses more than it should. The Klarna story, what tokens cost, and how to match the tool to the task before you build.
Read →Is your business ready for AI?
Most businesses are asking whether they need AI. The better question is whether they are ready for it. Four questions worth answering before you commit budget or hire a consultant.
Read →