AI in Practice
AI in Practice is the pdconsults. editorial layer for explaining what a capability change means for owner-operated businesses. It is not a release feed. Each piece should separate what changed from what is genuinely useful, risky, unproven, or irrelevant to a business workflow.
( The Detail )
Publish when the decision changes
A post is worth publishing when it helps a café, Shopify merchant, or lean service business decide what to test, what to defer, or what needs a new safeguard. Being accurate and useful a few days after a launch is more valuable than reacting to every announcement.
How to approach it
Begin with the decision rather than the tool. Name the recurring judgement this affects, the information it depends on, and the person accountable for acting on the result. That framing keeps the first build small enough to inspect and useful enough to matter.
Keep a human review point in the loop until the quality and the failure modes are understood. A system that shows its working - what it drew on, where it is uncertain, and what it deliberately left alone - is one a business can keep running after the initial build.
( Next Step )
Start small enough to review, but on a workflow important enough to show whether a better system is worth building.