Illustrative case study: building an honest tool tutorial and email list with AI in 28 days
Last updated · By Orenston
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Illustrative scenario. This is a composite example built to show the process. It isn't a real person, business or result. Results vary, and most people earn little or nothing.
Short answer: One page, one program, one email list, and a keep-or-kill rule written on day 1. The scenario follows a creator through find demand → choose a program → fill it → publish → measure, and shows the decision made at each step. It reports no income, because the point is the method.
Timeline and decisions
| Stage | What happened | Decision and why |
|---|---|---|
| Days 1-3: find demand | Pulled a list of real questions from a public creator forum and a new site's Search Console. AI clustered them; the creator picked one cluster: "how to set up a free email list for a coaching business". | Picked the cluster with a clear how-to intent and an approved program that fits (an email and funnel tool with a free plan). |
| Days 4-5: choose the program | Read the program's terms with the 10-term checklist: rate, lifetime attribution, $30 payout minimum, self-referral banned. | Went ahead because no tactic in the plan was banned. Wrote down the one unclear term (sub-affiliates) and decided not to rely on it. |
| Days 6-12: fill it | AI drafted the tutorial outline from the tool's own help pages. The creator did the setup on a real free account, took real screenshots and checked every step. | Cut every claim the creator couldn't verify by hand. Put the disclosure under the H1, before the first link. |
| Days 13-14: publish | Published one page and one opt-in for a free checklist. Submitted the URL in Search Console. | Chose one page, not ten, so the result would be readable. |
| Days 15-28: measure, then keep or kill | Logged weekly: hours, tool spend, impressions, clicks, sign-ups, and commissions earned (credited) versus paid (received), with "pending" for anything unknown. | Set the keep or kill rule on day 1, before seeing any data: keep only if the page got real search impressions and at least one person joined the list. |
Tools used in the scenario
- Find demand: Google Search Console (free) plus an AI assistant for clustering.
- Build and capture leads: systeme.io free plan (page, opt-in, email).
- Log: a spreadsheet with the fields in How to track an AI side hustle.
What the scenario teaches
- Start from real questions, not from a product.
- Read the terms before you build anything.
- Verify every AI-drafted step by doing it yourself.
- Disclose before the first link.
- Decide your keep-or-kill rule before the data arrives.
[GATED · Builder] The scenario's build kit
Members get: the tutorial page template, the opt-in checklist template, the 28-day log with the keep-or-kill rule pre-filled, and the prompts used at each stage.
FAQ
Is this a real case study?
No. It is an illustrative, composite scenario that shows the process. It is not a real person, business or result, and it is not a typical result.
How long does it take to see results?
It varies, and many people never see a commission. This scenario uses 28 days because that's long enough to read early search data, not because results arrive in that time.
What decision mattered most?
Setting the keep-or-kill rule before looking at the data, and choosing a program whose terms allowed the plan.