Earning Money with AICoreEARN-AI-004
Scope a sellable AI-assisted service
Turn a vague promise into inputs, deliverables, acceptance criteria and revision limits.
- Difficulty
- 2 / 5
- Importance
- 4 / 5
- Study time
- 0.5–1 h
- Kind of work
- Practice
Why it matters
A precise scope protects the buyer and makes time, price and quality measurable.
Where it is used
Draft a one-page offer with permitted inputs, output format, acceptance checklist, exclusions, revision limit and delivery window.
How you know you have learned it
Complete the scenario checks, explain the decision in your own words, and produce this artifact: Draft a one-page offer with permitted inputs, output format, acceptance checklist, exclusions, revision limit and delivery window.
Make the offer inspectable
The diagram loads as you scroll. Its values and worked example are available below.
Worked example
Write an offer for a weekly customer-feedback summary.
- Include up to 100 approved, deidentified comments, grouped into agreed categories.
- Deliver a short summary with source references and flag uncertain classifications.
- Include one revision to correct errors; new data or new categories require a new scope.
- The buyer can see what they receive and how to accept it. You can estimate and measure the work.
Your turn
The buyer adds a second dataset after approving the scope. What should happen?
Reveal answer
Discuss the added work, timing and price before proceeding. Do not silently absorb it or invoice an unagreed charge.
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.