Earning Money with AICoreEARN-AI-012
Run a bounded paid pilot
Combine scope, consent, costs, quality and a pre-agreed decision rule.
- Difficulty
- 2 / 5
- Importance
- 4 / 5
- Study time
- 0.5–1 h
- Kind of work
- Practice
Why it matters
A pilot is a small learning commitment. It should limit downside and produce evidence for continuing, revising or stopping.
Where it is used
Prepare a pilot brief and post-pilot decision memo, with a budget cap, acceptance checklist, payment terms and stop rule.
How you know you have learned it
Complete the scenario checks, explain the decision in your own words, and produce this artifact: Prepare a pilot brief and post-pilot decision memo, with a budget cap, acceptance checklist, payment terms and stop rule.
Write the decision rule before the pilot
The diagram loads as you scroll. Its values and worked example are available below.
Worked example
Plan a pilot for a weekly feedback summary using approved, deidentified data.
- Agree the sample size, required source references, one correction round and a delivery time cap.
- Check all outputs against the agreed rubric and record every hour, cost and exception.
- Continue only if the work is accepted, the economics fit your constraints and the buyer has a real repeat need.
- Write a decision memo with evidence and uncertainties. A stop decision is a valid outcome.
Your turn
The buyer likes the output, but review takes twice the planned time. Should you scale immediately?
Reveal answer
No. Investigate the rework, revise scope or price, and retest within a cap. Buyer satisfaction alone does not establish sustainable delivery.
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.