DIGITAL PRODUCTS

AI can speed up research, outlining and production, but the product still needs a clear buyer, a useful outcome and human quality control. Do not sell raw AI output as expertise you do not have.

Good first product formats

Start with the repeated question

The strongest products often come from a question people keep asking. If you repeatedly explain the same process, there may be a product inside that answer.

Use AI where it is strong

AI can help organize drafts, generate variations, summarize your own notes, identify missing sections and create examples. Then review every claim, remove filler and add the judgment that makes the product worth buying.

Price the outcome, not the number of pages

A short checklist that prevents a costly mistake can be more valuable than a long generic e-book. Make the promise narrow and measurable enough that a buyer knows why it matters.

Sell a small first version

Offer a beta or early edition to a small audience. Use their questions to improve the product. Do not spend weeks designing a giant course before you know what customers need.

Build a product ladder only after proof

A useful sequence can be: free checklist → low-cost template pack → deeper guide or workshop → recurring resource. Each step should emerge from customer demand rather than a funnel diagram alone.

Quality rule: if a customer could get the same value by typing one generic prompt into any chatbot, the product needs more structure, expertise, testing or specificity.

NEXT STEP

Score your idea before you spend.

Use the free side-hustle scorecard to find the weakest part of the idea and decide what to validate next.

OPEN THE SCORECARD →