Build the system that ships your work: agents running for hours, securely, without you pressing enter.
An eight-week cohort program led by Noel Jackson.
Led by
Noel Jackson
Creator of the Noel Method & Codewire
The premise
Everyone teaching agentic development teaches the middle: prompting, context, tools. It goes wrong at the edges. Deciding what’s worth building and what “done” means. Understanding a system before changing it. Knowing what an agent may touch and what it may not. Trusting work you didn’t write. Getting it through a pipeline into production without widening your attack surface. Knowing whether it worked.
And almost everyone still works in the loop: prompt, wait, read, press enter. That’s fine for an afternoon. It doesn’t hold for work that runs for hours, across sessions, while you’re doing something else, which is where the leverage actually is. This program builds the system that handles the edges so you don’t have to be there for them.
“Every time you press enter, you’re acting as a control your system doesn’t have yet.”
What secure means here
Security is not a module and it is not a hardening pass at the end. Each part of the system has a discipline that goes with it, and the two are taught together.
What an agent may do comes from the request and the project’s canonical instructions, and nothing else. Not from having credentials, passing tests, or a plan it wrote itself.
A long-running process has one live statement of what it’s doing, what it may do next, and what it’s waiting on a human for. When the plan breaks, it stops and asks.
The agent works somewhere it is safe to be wrong. Ephemeral, egress-controlled, recoverable by design.
Never in model context, source, commands, logs, test fixtures or evidence. Delivered to the process, never to the model. Scoped tightly, short-lived.
Files, dependencies, issue text, fetched pages and tool output are all injection surfaces, and they matter more when nobody is watching.
Which provider sees what code and data, under what retention terms, and when the sensitivity of the work forces local inference.
What an agent pulls into the project, pinned and verified.
CI running on the exact commit decides what merges and ships, not a human reading the diff. Including what an agent’s CI credentials can reach.
Incidents still happen. Rollback, rotation, revocation, and stopping a process mid-run are exercised, not assumed.
Each of these lands in the week where the work actually forces the question.
Curriculum
The masterclass, done for real on your own work. It shows three layers: the sandbox protects your machine, the method protects your work, and the gates catch what gets past both. The course builds each layer on your own setup, then ships real features through them, until the agent runs without you pressing enter. Six teaching weeks, two office-hours weeks.
Teach · 90 min
Goal: A disposable box where an agent can run with permissions skipped and nothing valuable is at risk.
Out: a working sandbox you can skip permissions in.
Teach · 90 min
Goal: Written rules for what the agent may do alone, what needs a human and what is forbidden, holding up against an out-of-scope request.
AGENTS.md: what the agent may do on its own, what needs a human, and what’s forbiddenOut: AGENTS.md and the Method in place.
Teach · 90 min
Goal: Two features, scoped small enough to finish, written into a program control the agent reads from instead of your chat.
Out: a program control with both features scoped.
Drop-in · 60 min
Goal: Feature one is built, and you know which controls your system is missing.
Out: feature one built, plus your enter log.
Teach · 90 min
Goal: CI decides what merges and ships, and feature one reaches production through a hardened pipeline.
Out: feature one in production, shipped through a hardened pipeline.
Teach · 90 min
Goal: Feature two runs from the program control and only comes to you with the questions it is meant to ask.
Out: feature two running without you.
Drop-in · 60 min
Goal: Feature two is running, and you have shown you can stop and recover the system.
Out: feature two running, recovery drill done.
2 hours
Goal: Show the system working and revise your method on the evidence.
Out: two features shipped, a system that runs without you pressing enter, and a method you can defend.
Start here · $99 masterclass
Three agents, two traps, zero enters. A live, one-hour masterclass with Noel. One task, three agents, three ways to run them. Everyone thinks the choice is safe-and-slow or fast-and-dangerous. That choice is false: the third mode is as fast as skipping permissions and safer than approving everything, because the controls live in the system instead of in your enter key.
The agent asks before every action, and you press enter each time.
The agent never asks, on your own machine.
The agent never asks, but it runs inside a box where it’s safe to be wrong, under written rules that say what it may do.
Credential: a dependency’s install script sends a fake credential to a collector. Authority: the issue asks to loosen CI permissions and disable the failing check.
ICP
People building real software with agents, where something breaks if it’s wrong.
Pricing
Five to seven participants, admitted through an intake call with Noel.
Safe Autopilot for AI Coding Agents: one live hour, three agents, two traps, zero enters.
A disposable VM with no credentials inside and outbound network denied by default.
AGENTS.md and the MethodWritten authority for what the agent may do alone, what needs a human, and what’s forbidden.
Goal, done-when and boundaries for two features, with each feature’s threat surface mapped.
CI and supply-chain gates that decide what merges and ships.
The first through gates, the second running without you.
Rollback, credential rotation and revocation, and a clean stop and resume.
Revised on the evidence of eight weeks of real work.
Six teach sessions, two office-hours drop-ins and a closing showcase.
Intake
Five to seven participants. Noel runs the intake calls.
Infrastructure competence.
Real work that can carry small features to production in eight weeks.
A model and compute budget for agents that run for hours.
Willingness to be a reliable counterpart in peer exchanges.
The example repo covers anyone without suitable work of their own. The work is the thing most likely to go wrong at intake: too large, too vague, or blocked on something outside your control. Right-sizing it is most of what the intake call is for.
Your facilitator
Lead Expert · Secure Agentic Engineering
Noel created the Noel Method, an MIT-licensed method for building with agents that every participant runs their work under from week one, and Codewire, open-source local VM orchestration that serves as the program’s reference sandbox. He runs every intake call himself.
$499 · 5 to 7 seats · Eight weeks. Not sure yet? Start with the $99 masterclass.
Before we reach out, we look at your notes and the program you’re interested in.
By email, to book a 15-minute call at a time that suits you.
Fit, format, schedule, cost and cohort dates — so you can decide with confidence.
Our learning expert will email within two business days to book a 30-minute call about the program.