Six builds, start to finish, with the exact prompts to paste in. Six things that hold a job in your business and keep doing it after you close the laptop.
Pay once, or split it over two or three payments. Yours for good, including updates.
Fifty-eight percent of US small businesses now say they use generative AI. That was 40 percent in 2024 and 23 percent in 2023. Whatever you decide about AI, your competitors already decided.
What the same research shows is that using it and getting work out of it are two different outcomes. Among small firms that use generative AI, only 22 percent use it regularly. The rest are occasional or still experimenting. They open a chat window, ask for an email, get something decent, close the tab, and do the follow-up by hand anyway.
US Chamber of Commerce, Impact of Technology on U.S. Small Business 2025. Gusto, Main Street Meets Machine Learning 2025.
The distance between dabbling and results is one idea: stop asking it to do tasks and start giving it a job.
The industry word for the second one is agentic. It gets used loosely, so here is the working definition, and it is the same one IBM and Red Hat use.
Generative AI creates content in response to a prompt. You ask, it produces, it waits for you. It has no agency, which is the literal root of the word. Agentic AI is given an objective instead of an instruction. It works out the steps, chooses between actions, uses tools and systems outside the chat window, checks what came back, and keeps going until the goal is met or it needs you.
| Generative, the chat window | Agentic, an AI employee | |
|---|---|---|
| You give it | An instruction | An objective and a job description |
| It produces | Content, then stops | A finished outcome, or a decision, or an action taken |
| Memory | Gone when you close the tab | Holds context across days and weeks |
| Reach | Whatever you paste in | Your calendar, CRM, inbox, sheets, the tools you already pay for |
| Who starts it | You, every time | It runs on a trigger or a schedule without you |
| Effort curve | Same work every time you need it | Set up once, then it keeps working |
Definitions per IBM, Agentic AI vs Generative AI, and Red Hat's comparison of the two.
This is why adding a skill or a clever prompt to a chatbot produces a better paragraph and changes nothing about your week. A better paragraph still needs you to request it, read it, send it, and remember to do it again on Thursday. The work never left your desk. Hiring is what moves work off your desk, and that is the correct mental model for what you are building here.
This is measured now, in controlled trials rather than case studies.
Five thousand one hundred seventy-two customer support agents, staggered rollout, published in the Quarterly Journal of Economics: 15 percent more issues resolved per hour. The gain was not evenly spread. Newer and lower-skilled staff improved most, by around 30 percent, because the system carried the habits of the best people on the team to everyone else. Customers were measurably more polite and asked for a manager less often.
Seven hundred fifty-eight consultants at Boston Consulting Group, preregistered and randomized: 12.2 percent more tasks completed, 25.1 percent faster, at higher quality.
Seven thousand one hundred thirty-seven knowledge workers across 66 firms, randomized over six months: heavy users spent 3.6 fewer hours per week on email, a 31 percent cut.
On accuracy specifically, a randomized trial of 162 system administrators given a purpose-built agent recorded a 48 percent improvement in accuracy and a 43 percent reduction in task time. The biggest gains landed on the hardest, most cognitively demanding tasks, which is the opposite of what people expect.
Read those together and the pattern is clear. The quiet expensive costs in a small business are the quote that went out three days late, the lead nobody called back, the invoice with the wrong number on it, the follow-up that stopped at touch two. Those are consistency failures, and they happen because a human being was tired, busy, or interrupted. Consistency is the one thing a correctly built AI employee is genuinely better at than you are.
Brynjolfsson, Li and Raymond, Generative AI at Work, QJE 2025. Dell'Acqua et al, Navigating the Jagged Technological Frontier, Harvard Business School with BCG. Microsoft and NBER working paper 33795, Shifting Work Patterns with Generative AI. Microsoft, randomized controlled trial for Conditional Access, 2025.
I am going to answer this with numbers instead of reassurance, because you have probably had the reassurance already and it did not work.
Of the small businesses using AI, 82 percent increased their headcount over the past year. Among small firms that use generative AI regularly, 95 percent are not cutting staff. They are far likelier to upskill the people they have, 34 percent, or hire more, 9 percent, than to reduce headcount, which sits at 5 percent.
US Chamber of Commerce 2025. Gusto 2025.
The reason is structural. A small business does not have a surplus of people doing unnecessary work. It has a shortage of people, and a founder absorbing everything nobody else has capacity for. When the repetitive half of that load moves to a system, what gets freed is judgment, relationships and decisions, the work that only a person can do and that gets squeezed out first when the day fills up.
There is a second effect worth understanding, and it is the one from the support-agent study. The largest gains went to the least experienced people. A well-built AI employee encodes how your best work gets done, and then makes that available to everyone on your team, including the new hire in week two. It raises the floor. Your standard stops depending on who happened to pick up the phone.
Thirty percent of entrepreneurs say AI lowered the barrier to starting at all, and over 60 percent say it helps them compete against larger players. That is the honest shape of this. It is one of the few shifts in decades that favors the small operator, because you can act on it this week without a committee.
Plenty of people are selling AI as a way to cut. Fewer staff, fewer hours, fewer humans in the loop. I build the other direction, and I want you to know that before you buy anything from me.
A business with 2 to 25 people does not win by shrinking. It wins by finally being able to keep its promises at a volume it could not handle before. Every quote out the same day. Nobody leaving the pipeline without a yes or a no. The phone answered. The content going out in weeks nobody had time to write. That is what these builds are for.
My position is that the owner should be the most expensive judgment in the building, and should spend the day doing things only they can do. Everything downstream of that, the chasing, the retyping, the remembering, belongs to a system that does not get tired. Do that and you grow without the usual trade, which is hiring three people you cannot yet afford and hoping revenue catches up.
The BCG study found something its authors named the jagged frontier. On tasks inside the AI's range, people using it did substantially better. On tasks just outside that range, the same people did worse than the group with no AI at all, because the output looked confident and they trusted it.
That is the actual risk, and it is a training problem rather than a technology problem. It is why these builds are scoped to jobs with a checkable output, why every build has maintenance prompts for when it drifts, and why I teach you how to write the job description yourself. You need to know where the edge is. Anyone selling you an AI employee without telling you it has an edge is selling you a problem for later.
Each one is a complete build with the prompts written out. You paste, you adjust it to your business, you watch it produce something real before you move on.
One place that holds every recurring job, who owns it, and what breaks when it slips. This is the build that shows you what has actually been dropping.
One recorded conversation becomes a month of posts, emails and short scripts in your own voice. Fastest visible win in the course.
Nobody leaves your pipeline without a yes or a no. Seven touches, then monthly, forever. This is where the money already in your database comes back.
A scored assessment that tells a visitor something true about their own business and gives them a reason to book with you.
Listens where your buyers actually talk, drafts in your voice, keeps the queue full so you never go quiet for three weeks again.
Quotes out the same day, from your template and your real pricing. You stop losing work to whoever replied first.
Plus Module 0, where you set up your own workspace before you build anything, and a bonus seventh build, the Reactivation Employee, that goes back through your old contacts.
One payment of $500. You land straight on the course, no waiting for a welcome call.
You build inside your own AI account, in your name, holding your own data. Plans start at $50 a month and a new workspace comes with free trial credits. I do not hold your business inside mine.
Session one is Command Center, and it is usually running the same evening. One a week and you have six AI employees in six weeks.
Everything in this course is something you can build alone with a keyboard. That is deliberate. Anything that needs a phone number, carrier approval, a voice agent, or a real connection wired into your CRM is not in here, because you would get stuck at nine at night and blame the course.
So the phone that gets answered at two in the morning, the text that fires back within seconds of a missed call, the follow-up wired into your CRM so it runs without you pressing anything: those are real, they work, and they are not in this course. When you want them built, we talk. Not before.
Work through session one and build your Command Center. If you get to the end of it and you are not holding something that works, ask for your $500 back and keep the material. I would rather refund you than have you sitting on a course you never opened.
No. Everything is typed in plain English. If you can write instructions for a new hire, you can do every build in this course.
None of those. A prompt gets you a better paragraph. A custom GPT gets you a better paragraph with your tone loaded. What you build here is given a job, a schedule, and access to your actual tools, and it produces the finished outcome without you starting it each time. That difference is the entire course.
You hold your own AI workspace. Plans start at $50 a month and a new workspace starts with free trial credits. While you are actively building expect somewhere around $50 to $150 a month of your own usage, less once the builds are just running. That is paid to the platform, not to me.
Each build session is short, and it usually takes about an hour to get one working in your own business. One a week is a pace that holds.
You build in your own workspace, on your own account, with your own login. I never hold your data and neither does anyone else's agency. If you cancel, you take the builds with you.
Not at this level, and that is the point of the price. If you want the builds done for you, book a call and we will talk about what that looks like.
There are no calls at this level. Everything is written down for that reason. There is also a one to one session available inside the course if you want someone looking at your screen.
Stop being the only thing holding the business together.
Enter your code and you are in the full course within a minute. Same content, same materials, same portal as anyone paying for it.
One payment of $500, or split it. Yours for good, including every update.
Same course either way. Same access on day one. Build one employee, or ask for your money back.
Rather talk it through first? Book a call.