Earning Money with AICoreEARN-AI-001
Find a problem worth solving
Choose a narrow customer, a recurring task and an outcome you can verify.
- Difficulty
- 1 / 5
- Importance
- 4 / 5
- Study time
- 0.5–1 h
- Kind of work
- Practice
Why it matters
An AI tool does not create demand. A costly, repeated customer problem gives you something testable to improve.
Where it is used
Write a problem brief naming one customer, the current workflow, its frequency, the cost of failure and a success measure.
How you know you have learned it
Complete the scenario checks, explain the decision in your own words, and produce this artifact: Write a problem brief naming one customer, the current workflow, its frequency, the cost of failure and a success measure.
Map time to a customer outcome
The diagram loads as you scroll. Its values and worked example are available below.
Worked example
A local shop spends 90 minutes on a weekly report. A sample AI-assisted process uses 20 minutes drafting and 25 reviewing.
- Record the original inputs and the shop’s quality checklist.
- Count the complete new workflow: 20 + 25 = 45 minutes.
- Compare accepted outputs and record corrections, not just typing time.
- Potential saving: 45 minutes per report. It becomes evidence only after a fair test.
Your turn
Your draft is faster but omits refunds. Is the workflow an improvement?
Reveal answer
Not yet. The output fails the agreed requirements. Fix the omission and remeasure total time, including rework.
Build the fundamentals behind the work
Start here for a practical offer. Use the other worlds when you want to understand models, check your numbers or build deeper expertise.
- Mathematics: percentages, costs, probability and the maths behind models.
- AI & ML: how models work, how to evaluate outputs and where they fail.
- Physics: measurement, units, energy and the physical systems behind technical projects.