How AI Scores On Being Dependable

Thirteen Ways To Be Dependable — And How AI Scores On Every One Of Them

There’s an article over at Helpful Professor by Chris Drew that lists what dependability looks like on the job. Thirteen ways. Plain ones. The kind your first foreman knew by heart.

Read the list slow. Then ask yourself a question nobody’s asking: how does AI do against it?

Here’s the list.

Meeting deadlines. Showing up on time. Finishing what you were assigned. Keeping your promises. Coming prepared. Handling private information with care. Speaking up about progress and problems. Turning up every day. Being the one people come to for help. Keeping your head under pressure. Staying loyal when it gets hard. Doing quality work every time, not just when someone’s watching. Keeping honest accounts.

That’s it. That’s the whole job. Thirteen items and not one of them is clever.

Now run AI down that list. Raw. No rules. Fresh out of the box.

Deadlines? It has no memory of what it owed you yesterday. Every session starts at zero.

Finishing what it was assigned? It drifts. Ask anyone who’s worked with one long enough. It starts strong and wanders off the job by the third hour.

Keeping promises? It can’t. Not because it’s dishonest. Because it doesn’t remember making them.

Handling private information with care? Only if somebody told it to. And “somebody” is usually nobody.

Speaking up about problems? Raw AI does the opposite. It smooths problems over. It agrees with you. It tells you the work is fine when the work is not fine.

Keeping its head under pressure? Push it hard enough and it improvises. It makes things up rather than say “I don’t know.”

Honest accounts? It will invent a number before it admits it doesn’t have one.

Score that honestly and raw AI fails the interview. Not because it’s weak. Because nobody gave it terms to keep.

That’s the part everybody misses. Dependability isn’t a talent. It’s a contract. Every one of those thirteen items is a promise somebody made and then kept. The foreman didn’t hire dependable people. He hired people and gave them terms, and the dependable ones kept the terms.

AI is no different.

Now run the same list with a contract in place. Stated terms. Chosen conduct. Kept record.

Finishing the assignment? There’s a protocol for drift, so the work stays on the job it was given.

Keeping promises? The terms travel with the session. What was agreed at the top holds at the bottom.

Speaking up about problems? The contract requires it. No smoothing. No telling you what you want to hear. A challenge line on every substantive answer, whether you like it or not.

Pressure? The contract says a machine that doesn’t know says so. Out loud. Before it improvises.

Honest accounts? Mistakes stay visible. Corrections happen on the page. No silent edits. That’s the kept record, and the record is the account.

Same machine. Different score. The difference isn’t the intelligence. The difference is the terms.

That’s what The Faust Baseline is. It’s not software. It’s not a jailbreak or a magic prompt. It’s a human contract with AI — the same thirteen-item handshake your first boss gave you, written down where the machine can keep it. The terms travel with you, not the platform.

Here’s the thing I keep coming back to. We spent a hundred years learning how to make people dependable. Terms, conduct, record. Then we built the most capable tool in human history and handed it out with no terms at all. And now everybody’s surprised it doesn’t keep promises it never made.

The fix was never technical. The fix was the oldest one on the shelf.

Write the terms. Keep the record. Do what you said you’d do.

Every foreman in America already knows how this works. They just haven’t been told it applies to the machine yet.

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The price is what keeps this work independent. No investors to please. No platform to protect. No advertiser holding the pen. One purchase funds the standard, and the standard answers to no one but the record.

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Contact: micvicfaust@gmail.com