Short, practical reads on buying, building, and running AI systems.
Compare how three models handle the four prompts we use before evaluating a vendor.
A focused pre-launch security pass using open-source scanners with an AI review layer.
Five questions to decide whether a workflow needs AI, rules, a simple script, or no automation at all.
Six stages, what gets built when, and where costs and savings can compound.
When a spreadsheet handoff stops scaling, see what changed, what stayed human, and how to value the time saved.
Four practical stages, the trap inside each one, and a quick browser-only poll.
Use the calculator to see when prompt caching reduces repeat-input cost, and when it does not.
Five LLM terms buyers hear constantly, explained in plain English and grounded in buying decisions.
See a real before-and-after rewrite, line by line, with the campaign context and limits included.
Practical notes on AI, automation, and modern work, sent when there is something worth sharing.