Audit Yourself in Public

The strongest test of a system is not whether it sounds good in a deck. It is whether its author will use it, on their own work, in public, where the gaps show.

Most companies fail that test quietly, and for one reason: they never wrote their rules down. A rule you have not written is a rule you cannot be held to. It is a preference, and preferences bend under pressure.

This publication was built on its own written rules, so I did the honest thing and audited it against them before I recommended you do the same. I found real gaps. The founding piece had no signature diagram, though the standard says every Issue carries one. And for a publication about using AI well, there was no disclosure anywhere that the work is AI-assisted, though I preach disclosing exactly that where it is material.

Neither was a catastrophe. That is the point. When you hold yourself to a standard you wrote down, the gaps come out small and findable, instead of large and hidden. A company that never audits itself does not have fewer gaps. It just has not looked, and the gaps it is not looking at are the large ones.

What a real audit looks like

Take the work you are proudest of, the AI strategy you would put in front of your board, and check it against your rules, line by line. Where did you break your own standard? Then close the gap, because a rule only means something if the gaps get fixed, not just noted.

And do it in the open. A case study that shows only the wins is exactly the premature coherence worth distrusting. The willingness to publish the gaps is the whole signal that the system is real.

I wrote the full accounting up as the first case study, the system applied to the thing you are reading.

Here is Monday morning. Write your rules down, if they are not already. Then run your loudest AI work against them and fix the smallest gap you find this week. The full self-audit is Built by Its Own Rules.

Cheers,
-Titus