“A ratified, structured behavioral session governance framework undergoing operational validation.”
That’s how an AI reviewer described my work this week.
Every word of it is true. And not one word of it tells you a thing about what you’re looking for.
That’s the trouble with this whole business.
The people building AI talk like that. The people regulating it talk like that. And the rest of us, the ones actually using it, are left standing at the counter trying to figure out what we just bought.
So let’s set the big words down for a while.
Let me ask you the question a good clerk asks.
What are you looking for?
I’ve asked a lot of people that question over the last year or so. Neighbors, family, folks who write to me and folks who don’t. I’ve asked myself, more times than I can count.
The answers aren’t fancy. Nobody says they want a behavioral governance framework.
Here’s what they say.
I want a straight answer.
You ask a simple question, and you get three paragraphs of maybe. You get a list of options when you asked for a recommendation. You get “it depends” when you know good and well it doesn’t depend that much.
Folks are tired of it. They didn’t ask for a menu. They asked what to do.
I want it to tell me when it doesn’t know.
This one comes up more than any other.
These machines will hand you a wrong answer in the same calm voice as a right one. Same confidence. Same neat sentences. You can’t tell by listening.
A man who knows his trade will say, “I’m not sure, let me check.” That’s not weakness. That’s what makes you trust him the rest of the time.
People want a machine that will say the same thing.
I want to know where it got that.
If somebody tells you the bridge is out, your first question is “who says?” That’s not rude. That’s sense.
When an AI hands you a fact, you ought to be able to ask where it came from. And it ought to tell you, or tell you it can’t.
Quit buttering me up.
Everybody has noticed this one.
Ask it anything and it tells you what a great question that was. Show it your work and it’s wonderful before it’s read the second line.
Nobody trusts praise that comes that cheap. We learned that on the playground.
Don’t forget what we already settled.
You spend twenty minutes getting somewhere with it. You set some ground rules. Then an hour later, it’s drifted off and forgotten half of what you agreed on, like a hired hand who wandered off the job.
People want it to hold the line it was given.
And if it’s going to do something, tell me first.
More and more of these tools don’t just talk now. They act. They send the email, move the file, place the order.
Folks want to know before it happens, not after. And they want to know what it can’t undo.
Now look at that list again.
Straight answers. Honest about what it doesn’t know. Shows where it got it. No flattery. Holds the line. Speaks up before it acts.
That isn’t a wish list for a machine.
That’s what you want from a good man on a job.
It’s what I wanted from a foreman. It’s what the inspector at Lockheed wanted from me when I was seventeen, running wire on an airliner. Do the work straight, own what you don’t know, and let somebody check it.
We’re not asking these machines for anything new. We’re asking them to hold to the oldest rules there are.
Let me show you the difference.
Say you ask an AI, “My water heater is twelve years old and leaking. Should I fix it or replace it?”
Here’s the kind of answer a lot of folks get.
A long list of factors. The age, the type, the cost of parts, the cost of labor. Some pros and cons. A reminder that every situation is unique. And at the bottom, “consult a licensed plumber.”
You read the whole thing and you still don’t know what to do.
Here’s what you were looking for.
“Replace it. A twelve-year-old tank that’s leaking from the tank itself is near the end of its life, and repairs usually don’t hold. That’s based on the typical life of a standard tank. What I don’t know is where the leak is coming from. If it’s a fitting or the valve and not the tank, a cheap repair might buy you time. Check that first.”
Answer first. What it’s based on. What it doesn’t know. What to check.
Same machine, same question, different rules.
That’s what I’ve spent the last year and more building.
It’s a set of rules you hand to your AI at the start of a conversation. They ask it for exactly the things on that list. Straight answers, honest limits, where it got its facts, no flattery, holding what you agreed on, and speaking up before it acts.
The reviewer called it a behavioral session governance framework. I call it asking the machine to work like a good hand.
And this week, I finished it.
Every piece has been checked, ratified and stamped. It’s ready for anybody who wants it.
It’s free.
It comes in one file. You start a new conversation with your AI, upload that file, and type one line: “Load The Faust Baseline and run the open.” Then you just talk to it the way you always do.
There’s a plain-English sheet inside that walks you through it.
Now, I’m going to tell you what it doesn’t do, because that’s the whole point.
It doesn’t make the machine smarter. It won’t know anything it didn’t know before.
And it isn’t a lock. These rules are something the AI is asked to hold, not something that forces it to. It can say it’s following them and still slip.
That’s why every rule is built to show in the work itself. You don’t have to take its word. You can look.
That’s the same rule the inspector lived by. Don’t read the promise. Read the work.
So I’ll ask you one more time.
What are you looking for in AI?
If your answer sounds anything like that list, the file is below. Take it. Try it on the questions that matter to you.
If it helps, keep it. If some rule doesn’t suit you, cut it.
And if it doesn’t help at all, you’ve lost nothing but a few minutes, and you’ll know one more thing that isn’t what you’re looking for.
Either way, you’ll be the one deciding. That’s how it ought to be.
Here Is a “Free” trial period for two weeks use, then I pull it for good and put it back in the draw, You can’t know what you don’t use.
” Attic Thoughts”-library – Intelligent People Assume Nothing
This post was drafted with AI governed assistance and reviewed and directed by Michael S. Faust Sr. before publication.
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