The Affluent Affect® The Capability Transfer Method
The Capability Transfer Method

Hand off work to an AI you can trust.

There are things you do in your business that live in your head. This is a simple, repeatable way to teach an AI to do one of them — well enough that you stop checking its work. One rule runs through all of it: the AI does the work, and you stay in control.

01 · Start here

First, the idea.

There are things you know how to do that nobody can do quite like you. Writing a certain kind of email. Reviewing a deal. Pricing a job. Handling a client the right way. Each one of those is a capability — a skill that lives in your head.

AI is good enough now to do a lot of these for you. The hard part was never whether it can. The hard part is handing it over — getting the job out of your head and into the AI so cleanly that it does it right every time, and you trust it enough to stop hovering.

That is what this method is for. It works the same way every time, for any capability.

So how do you hand a skill to an AI?

You give it instructions — everything it needs to do the job the way you would. There are six parts: what the job is, why it matters, how it’s done, what it needs (its information and tools), what a good one looks like, and how to check it. Those six parts are the AI’s full instructions for that one skill.

Once you see that, the whole method fits in three sentences:

The method in one line

You write the instructions. The AI follows them. You watch and correct until you trust it.

The rest of this page walks through each part — what the instructions look like, what you do, what the AI does, and how trust gets built.

02 · The instructions

The instructions, in six files.

The instructions live in a folder — just like one on your computer. One skill, one folder, six files inside. Each file is one part of the instructions, written in plain English. Click any file to see what’s inside. This is a real example: finding ten therapists to recruit in Arizona.

Recruit a Therapist
01 — The Job
02 — The Intent
03 — The Process
04 — The Context
05 — The Benchmark Example
06 — The Checklist
01 — The Job.docx

The Job

What is this, in one line?

Add 10 people to our recruitment spreadsheet, and prepare a draft message for each one.

02 — The Intent.docx

The Intent

Why does it matter?

Recruit a new team member for our behavioral health unit in Arizona. The sooner we find the right people, the sooner we can serve more patients.

03 — The Process.docx

The Process

How is it done?
  1. Search LinkedIn for people in the Greater Phoenix, Arizona area who have “behavioral health therapist” in their title.
  2. Take the top 10 qualified prospects and add them to our master recruitment spreadsheet. Make sure there are no duplicates.
  3. Draft a direct message for each one, customized to their profile.
04 — The Context.docx

The Context

What does it need?
05 — The Benchmark Example.docx

The Benchmark Example

What does a good one look like?
NameLocationLinkedInDraft message
Maria LopezPhoenix, AZlinkedin.com/in/marialopez“Hi Maria, your work in behavioral health around Phoenix caught my eye. We’re growing our Arizona team and I’d love to share what we’re building.”
James CarterScottsdale, AZlinkedin.com/in/jamescarter“Hi James, your background in adolescent therapy stood out. We’re hiring for our behavioral health unit and I think you’d be a strong fit.”
06 — The Checklist.docx

The Checklist

How do you know it’s good?
  • 10 people added, with no duplicates.
  • Each one is in the Greater Phoenix area with the right title.
  • Each has a draft message that mentions something specific from their profile.
  • Everything is saved in the master spreadsheet.

You don’t write these from a blank page. A guided tool walks you through each part and writes the instructions for you.

03 · Two sides

What you do. What the AI does.

Handing over a skill has two sides. You pass it over; the AI performs it. The two sides mirror each other, because what you write down is what the AI reads.

What you do

  1. Define — say exactly what the job is.
  2. Why — explain why it matters and what it’s really for.
  3. Show — walk through how you’d do it, step by step.
  4. Equip — hand over the information, tools, and correct answers.
  5. Model — give it one finished example done right.
  6. Check — set how it knows its own work is good.
  7. Trust — let it run, correct it, until you don’t have to watch.

What the AI does

  1. Start — it begins when something kicks it off (an email lands, you ask, a set time hits).
  2. Read — it reads the job and the why.
  3. Gather — it pulls the information, tools, and correct answers.
  4. Do — it works through the steps in order.
  5. Compare — it holds its work up against your example.
  6. Check — it runs the checklist on itself.
  7. Hand off — it gives the result to you, or delivers it.

The folder is what connects the two sides

The first six steps on each side meet at the six files. You write them. The AI reads them.

You write it by…The fileThe AI uses it to…
Defining the jobThe JobKnow what to do
Giving the reasonThe IntentKnow what it’s for
Showing the stepsThe ProcessDo the work
Equipping itThe ContextGather what it needs
Modeling one done rightThe Benchmark ExampleCompare its work
Setting the barThe ChecklistCheck itself

The seventh step on each side isn’t a file. Your Trust happens after the folder exists. The AI’s Start and Hand off wrap around the work. That’s the next part.

04 · The Trust Loop

How you come to trust it.

Trust is not a switch you flip. It’s earned by watching the AI not mess up. Think of a new self-driving car. At first your hands hover near the wheel and you watch every move. Once it proves itself, you relax and let it drive. Same thing here. This is the loop that gets you there.

  1. RunThe AI does the job and shows its work.
  2. ReviewYou check the result against what good looks like.
  3. CorrectYou point out what was wrong or missing.
  4. CaptureThe fix gets written into the instructions, so the same mistake can’t happen again.
  5. RepeatThe next run starts from the smarter version.
  6. ReleaseAs the corrections shrink toward zero, you pull your hands back.

Two things improve at the same time

Capture is the AI getting better — like the car getting a software update. Review and Release is you getting comfortable — you stop hovering over the wheel. The work gets better and your trust grows, together, run by run.

You don’t guess when to trust it. You watch how often you have to correct it. A few clean runs in a row is your green light to let go. The corrections come back, you put your hands back on the wheel.
05 · Hands on the wheel

Three levels of trust.

The AI moves up a level each time it goes several runs with nothing to correct. It moves back down the moment the mistakes return. Trust goes up and down with proof, not with hope.

Hands on the wheel
You check every result before it goes out. The skill is new and not yet proven.
Hands hovering
You let it go out and you spot-check after. It’s mostly right, you’re still watching.
Hands off
It runs on its own. You only look when it raises its hand. Trusted.
06 · The Fix Map

When something’s wrong, where do you go?

Say the AI gives you a result and it’s off. You don’t have to dig around. Every kind of “wrong” points to one of the six files. You ask one question — what kind of wrong is this? — and the answer tells you which file to open.

What’s wrong with the resultWhat it’s really telling youWhich file you fix
It did the wrong thing entirelyIt didn’t understand the jobThe Job
It did the task but missed the pointIt didn’t know why it matteredThe Intent
It used wrong, old, or made-up informationIt didn’t have the right answersThe Context
It skipped steps or did them out of orderThe how is offThe Process
It’s the wrong shape, format, or toneIt had no good one to copyThe Benchmark Example
It let a mistake through it should have caughtThe bar was too lowThe Checklist

The quick version

Wrong thing? Job or Intent. Wrong information? Context. Wrong steps? Process. Wrong look? Benchmark Example. Should’ve been caught? Checklist.

One rule that closes the loop

Whatever you fix, also add a line to the Checklist — so that exact mistake can never slip through again.

Fix the file so it does better next time. Add the check so it catches itself next time. That’s how the skill keeps getting sharper instead of repeating the same mistakes.

07 · The whole thing

Start to finish.

You fill the six files. The AI runs them. The Trust Loop builds your confidence, run by run. The Fix Map tells you exactly where to go when something’s off. And your hands move from on the wheel, to hovering, to off — as the AI earns it.

A simple way to get an AI to do the work you used to do — without ever giving up control.