How to price an expert AI skill before you have sales data

Start with one clearly defined reader task, calculate what it costs to support that task, and choose a price you can explain to a real reader. Then test the offer with a small group. Your first price is a business decision to examine, not a verdict on the value of your life's work.

If you have written a useful nonfiction book, you already have two tempting reference points: the book's retail price and your consulting rate. Neither tells you what to charge for a skill that helps readers apply your method. The book, the skill, and your personal attention can do different jobs.

The worksheet below gives you a way to compare three possible prices without inventing sales forecasts. All dollar amounts in its example are hypothetical USD amounts, not Skillfully fees or recommended market prices.

Write a one-sentence offer before opening a spreadsheet. Include the reader, the task, the useful output, and the limits of your involvement.

For this article, imagine an author named Leah who has written a book about conducting customer interviews. Her proposed skill helps small-business owners prepare an interview plan using her method. It checks their research objective, suggests questions, and identifies questions that invite flattering answers.

Her offer might be:

Prepare a customer interview plan using my method, with a question-by-question explanation. Includes setup help and maintained examples. It does not include my personal review of your research or a consulting session.

Leah and the product are fictional. The distinction matters because we can calculate the costs of this offer without pretending to know whether people want it.

For your own offer, answer four questions:

• What situation brings the reader here?
• What will they have when they finish?
• What work and judgment remain theirs?
• What help are you personally promising?

If those answers are unclear, changing the price will not resolve the uncertainty. Our guide to writing an agent skill can help you make the task and instructions concrete before you sell access.

Ask what a potential buyer did the last time they faced this task. They may have reread your book, reused an old worksheet, asked a colleague, hired someone, or done nothing.

Those alternatives are more informative than the price of an unrelated AI product.

For Leah, the comparison could look like this:

Record actual prices only for alternatives your prospective readers would consider. Include any required AI subscription in the buyer's overall cost, while keeping it separate from what you charge. Verify current requirements before putting them on the offer page.

Do not turn a consultant's hourly rate into a claim that every skill use saves that amount. A reader who would never hire you has not saved a consulting bill by buying something else.

The tension between expertise and delivery time is real. In a discussion about a valuable task that takes minutes, Reddit user u/lkram489 wrote:

“I don't like lying but I want to be paid fairly for my experience.”

That is a consultant's concern, not evidence of what an author skill should cost. It does explain why counting the minutes needed to generate an answer is an incomplete way to price expert work. Read the original discussion.

Stripe distinguishes pricing based on delivery costs from pricing based on customer value, and describes using both when setting a price. Costs help you assess viability; understanding the customer's situation helps you assess what they might pay. Stripe's pricing explanation

For Leah, “better interviews could improve your business” is too broad to price against. She needs to see what her proposed product actually helps someone do.

A useful early exercise is to watch a reader prepare one interview plan. Note where they hesitate, what they change, and what they consider usable. Ask which parts they would otherwise do themselves and which parts they would pay to improve.

Keep three kinds of information separate:

A purchase still does not prove the skill worked. Check the reader's experience afterward. If you cannot yet demonstrate dependable application of your method, use a clearly described pilot rather than a claim of proven results. Testing an agent skill is part of preparing that offer.

For a paid skill, model the support and maintenance you intend to provide. Do not assume that inexpensive file delivery makes your time free.

First choose a billing period that matches the proposed use. Leah's example below assumes readers conduct interviews repeatedly and might consider monthly access. That is a hypothesis to test. Someone preparing a single project may prefer a one-time purchase; do not divide a monthly price by an invented customer lifetime to price that offer.

Separate ongoing costs from the initial build:

These are deliberately round assumptions. They are not quotes from a payment processor, platform, or hosting provider. Replace them with your actual costs and avoid counting the same fee twice.

Leah's monthly fixed operating cost is 4 × $60 + $60 = $300. Six minutes of support costs 6 ÷ 60 × $60 = $6 per reader. Other variable costs add $2.50, before the percentage fees.

For one monthly payment per reader:

Contribution per reader = price × 0.90 − $8.50.

Contribution is what remains to cover fixed costs and, afterward, recover the initial investment. This model values Leah's time as a cost even if she does not pay herself an hourly wage.

Here are three possible prices for exactly the same proposed offer:

The final column divides $300 by the contribution and rounds up to a whole person. It is a break-even calculation, not a forecast of buyers.

The $79 option requires fewer customers to cover these costs. That does not make it the best price. Perhaps readers would buy at $39 and decline at $79. Perhaps none of these prices fits the task. The table exposes the business question; it cannot answer the demand question.

Now challenge the easiest assumption to underestimate: personal support.

If average support rises from six to twenty minutes per reader, support costs become $20. Contribution becomes price × 0.90 − $22.50. At $19, each additional paying reader loses $5.40 before fixed costs. At $39, contribution falls to $12.60, requiring 24 readers to cover the same $300. At $79, $48.60 remains, requiring seven.

This is why “you can always email me” deserves more thought than an extra bullet on a pricing page.

A consultant describing their experience with retainers put the boundary plainly:

“Conversely, it needs enough mutual trust that both parties know that if scope materially grows, that will be extra.”

The commenter, u/houska1, was discussing human consulting relationships, not AI subscriptions. The relevant lesson for an author is to define the personal help included in the offer before pricing it. Read the original comment.

Keep setup spending separate too. Suppose Leah invests 24 hours at $60 plus $160 in other build costs: $1,600. At 20 paying readers on the $39 option, the example leaves 20 × $26.60 − $300 = $232 per month toward that investment. Recovering $1,600 would take about seven months if those conditions stayed constant.

That calculation excludes taxes, refunds, chargebacks, customer acquisition costs, and extra growth work. Add relevant allowances before using your version to make a decision. It also assumes the same paying-reader count each month; it predicts neither retention nor sales.

Use the worksheet to eliminate offers you cannot afford to deliver. Then use conversations and demonstrations to choose a plausible price among the remaining options.

For Leah, a provisional decision could read:

Test $39 per month for the interview-planning offer. Readers must have recurring interview work. The offer includes setup help, but no personal research review. We need to learn whether readers use it repeatedly and whether support stays near the six-minute assumption. This is a test decision, not a proven price.

That statement gives her something to inspect later. “I felt awkward charging more” does not.

Before asking someone to buy, show them the actual offer and a representative example. Ask:

1. When did you last need to do this task?
2. What did you use, and what was difficult?
3. Which part of this example would change your work?
4. What is missing that you would need before buying?
5. Given the stated price and limits, would you choose this for your next task? Why?

Treat these as conversations, not a survey that produces a statistically precise price. Include readers who decline. Your most enthusiastic supporters may buy to support you; ask whether they also have the problem the product addresses.

Keep a simple record of the offer version, price, relevant audience reached, purchases, reasons for declining, support time, refunds, and whether buyers completed their intended task.

Do not change the price, audience, promised result, and support package together and then attribute the result to price. With a small audience, even a tidy before-and-after comparison remains uncertain.

Use the evidence to choose the next action:

• If people cannot explain what they receive, improve the offer description.
• If the right readers understand the offer but prefer an alternative, investigate that comparison.
• If they buy but need extensive personal help, reconsider scope, onboarding, or price.
• If they complete one project and leave, examine whether recurring billing fits the need.
• If useful application and sustainable delivery repeat, consider testing a higher price for a future cohort while honoring existing terms.

You do not need the final price before you begin. You need an offer worth testing, a cost model that includes your obligations, and an honest account of what the first buyers teach you.

Fill in your own version of the worksheet before choosing a number. If you want to discuss publishing your method through Skillfully, visit Skillfully and choose Book onboarding. Bring the reader task, a representative example, and the assumptions behind your proposed price.