AI tools
Tools are useful. Tool worship is not.
This area is meant to stay practical. Not “best tools of the month”, but a structured way to think about where a tool fits, what maintenance it introduces, and what kind of user or workflow it actually serves.
Good fit
Clear workflow, repeated structure, visible output, measurable value, and someone who can own the system over time.
Bad fit
Messy process, no owner, undefined quality bar, unstable inputs, and a team hoping the tool will create the strategy for them.
What matters
Setup cost, review cost, failure modes, data quality, UX friction, and whether the result is actually better than a simpler path.