A case study is only as honest as its evidence. This page states our standards plainly: what counts as a case study here, what we will never publish, and where documented examples will appear as we produce them.
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What counts as a case study here
When we publish a case study, it will document: the starting situation, the exact task and tools used (including plan or version), the time period, the measured result, and the limitations — what might not transfer to your situation. Anything missing one of these is a story, not a study, and will be labeled as such.
What we will never publish
We do not publish income screenshots we cannot verify, anonymous “student results,” before-and-after revenue claims without a documented method, or borrowed examples presented as our own. If you have seen those on AI-earning sites, you know exactly why this page exists.
The case study template
Every future case study on this page will follow the same five sections, in this order:
- Baseline. The starting situation, dated — what existed before the work began, with numbers recorded at the time, not reconstructed later.
- Method. The exact task, the tools used (including plan and version), and the time period. Enough detail that someone could attempt the same thing.
- Results. The measured outcome, using the tool's own reporting plus independent checks where possible.
- Evidence. The proof format: dated notes and screenshots of actual tool reports or outputs. Borrowed or stock imagery is never presented as evidence.
- Limitations. What might not transfer to your situation — sample size of one, special circumstances, things we could not rule out.
Publishing criteria
A case is published here only if it meets all of these:
- The method is documented in enough detail that someone else could attempt it.
- The evidence is verifiable — dated notes and real tool reports, not screenshots we cannot trace.
- The baseline was recorded before the work began, not reconstructed afterward.
- Limitations are stated alongside the result.
- No anonymous claims, no borrowed examples presented as our own, no income screenshots we cannot verify.
How a case gets documented
Our process, in order: define the question, record the baseline, run the work with dated notes, measure the outcome with the tool's own reporting plus independent checks, write up methods and limits, and publish the raw reasoning alongside the conclusion. If you have run a clean, documented AI-earning experiment and want it verified, contact us.