The Five Layers of Building With AI

Prompt

How you ask

The words you use. An AI has no idea what a good answer looks like until you tell it, so it guesses at an average one. Name the job, name the reader, and set the length. Show it one example of what you want and it will copy the shape.

Like briefing a sharp new hire. The clearer the ask, the better the work you get back.

Vague“Write about our product.”

Clear“In three sentences, tell a busy plant manager how this saves them time. Skip the jargon.”

Context

What it can reach

What the AI can see while it answers. It knows nothing about your business, your files, or today’s date until you put those in front of it or give it a tool that can go and look. Anything past that reach, it fills in from memory. That is where most wrong answers come from.

Like handing someone the file and the keys before you ask the question. Ask them cold and you get their best guess instead.

No access“Is this invoice overdue?”

Given access“Here’s the invoice, today’s date, and our net-30 terms. Is it overdue?”

Boundary

What it may not do

The limits you set before the AI runs. Reaching a tool and being allowed to use it are two separate decisions, and the second one is yours. Sort every action into three piles: what it does alone, what needs your yes first, and what it must never do. Write those rules where the AI has to read them, not in your head.

Like the badge you hand a new hire. It opens the doors they need, and stays shut on the payroll file.

No limitsIt can reach the customer list, so one bad instruction emails all of them.

With limitsIt drafts the email and stops. Nothing goes out until you say go.

Harness

Everything around it

The machinery around the AI that turns its decisions into real work. It runs the tools, hands the results back so the AI can see what happened, holds it to your limits, and passes side jobs to helper AIs. Left alone, the AI only describes what it would do. The harness is the part that does it.

Like the office around a new hire: the power, the printer that really prints, and the manager who checks the work.

Just the AISays what it would do, and nothing happens.

With the machineryRuns it for real, catches the mistakes, and holds it to the rules.

Loop

Keeps it going on its own

The outer cycle that keeps the AI working without you, turn after turn, on a schedule or until the job is done. Each turn it reads what happened on the last one, picks the next step, and checks its own work. It stops when the goal is met, or when it hits one of the limits you set.

Like a teammate who owns the whole job week after week, next to one who finishes a single task and waits to be asked again.

One and doneDoes the job once, then waits. If it trips, it stays stuck.

Runs itselfKeeps going, fixes its own mistakes, and asks for help only when it needs it.

How they stack

Each layer only works if the one inside it does. A loop running on broken machinery repeats the same mistake faster. Machinery with no limits does real damage faster still. Limits mean nothing if the AI cannot reach the facts it needs to judge the case in front of it. A perfect stack still fails if you asked the wrong question. Most people start at the outer layers, because that is where the impressive demos live. The gains are inside.

Prompt·Context·Boundary·Harness·Loop

Working on this?

If you are trying to get one of these layers working in a real business, tell me where it is stuck. I read every one of these.