The before-and-after process
Show each step using a sample dataset. State what you changed and what you still review yourself.
Professional skills & AI
Show how to complete a real work task with a repeatable process and a clear quality check.
A starting hypothesis to personalize, not a proven niche, live trend ranking, or income forecast.
01 / Make the audience specificStart with a person
Start with a person
and a practical need.
Example audience: Small teams trying to finish one recurring work task.
Choose one task for one role: a marketer preparing a brief, a designer organizing research, or a consultant writing a project summary. Start with a workflow you can demonstrate on non-confidential examples.
Questions to investigate
- Which task repeats often enough to be worth improving?
- Where does the current process lose time or quality?
- What would a reviewer need to trust the finished output?
Ask a few people who fit the audience. Collect their wording, look for repeated problems, and write down what is evidence versus an assumption.
02 / Research the language
Searches to explore.
- marketing brief template
- organize customer research notes
- AI content review checklist
These are example phrases, not verified keyword-volume estimates. Check search suggestions, relevant comments, and comparable content. Record the source, date, geography, and what is still unanswered.
Google Trends shows relative interest scaled to the chosen comparison, time and place. It is one signal, not a measure of purchase demand.
Understand Google Trends data ↗Three posts to start a conversation.
A useful prompt with the missing context
Explain the inputs, constraints and evaluation criteria that make a draft usable.
The failure worth checking
Demonstrate a limitation you actually observed and the review step that catches it.
04 / Give it a small test
A week of learning.
- Days 1–2: collect five real audience questions and choose one you can answer well.
- Days 3–4: make one useful post. Keep the promise specific and the demonstration clear.
- Day 5: publish where the intended audience already participates. Respect community rules.
- Days 6–7: respond to relevant questions and record initial feedback. Choose a longer review window when the format needs it.
Signals to observe: Qualified questions, template use, relevant inquiries, and completion of the demonstrated task. Keep test results separate from marketing claims.
Record the experiment ↗Keep the proof honest
Use public or fictional demonstration data. Record any time comparison under stated conditions; do not imply universal productivity gains from one example.
Where AI can help
Use AI inside the workflow you are teaching, while showing inputs, human decisions and a quality gate. Protect client and employer information.
Build a repeatable AI workflow ↗What might someone
pay you to make or do?
A scoped workflow audit, a template, a training session, or implementation support within your abilities. Define the task and deliverable before promising an outcome.
Talk to likely buyers, identify a small deliverable, and count production time and costs. Useful feedback may lead you to improve the idea, change the audience, or stop the test.