How I Used AI to Create 10 Digital Products in One Month (And What Sold)

Last spring I ran a personal experiment that taught me more about digital product selection than the previous year of slower, more considered building.

The premise: create 10 digital products in 30 days using AI tools. Ship them all. See what happens.

Here's the honest report.

The 10 Products I Built

I set a few rules for myself. Each product had to be something I could genuinely stand behind — useful, not filler. I wasn't trying to cheat the market; I was trying to test how well I could predict demand.

1. A prompt pack for freelance copywriters
2. A Notion CRM template for solo consultants
3. A 30-day email newsletter planning workbook
4. An ebook on pricing freelance services
5. A "perfect client questionnaire" template bundle (5 questionnaires)
6. An AI prompts pack for LinkedIn content
7. A productivity system in Notion for ADHD entrepreneurs
8. A week-by-week course launch checklist (PDF)
9. A swipe file of 50 high-converting landing page headlines
10. A beginner's guide ebook to AI tools for small business

Building time per product: 6–14 hours, including research, creation, writing product descriptions, and uploading to MadeThis.

Total time across 30 days: about 80 hours. More than I expected.

What AI Actually Helped With

Claude accelerated the ebook writing significantly. Outlines, section drafts, transitions — tasks I'd usually spend days on happened in hours. I still rewrote a lot, but starting from a solid draft is much faster than starting from blank.

ChatGPT helped with the prompt packs and headline swipe files. Testing prompts against a specific use case, organizing them, naming them clearly — all faster with AI help.

Canva handled all design work: covers, preview images, workbook layouts.

What Sold

Out of 10 products launched and listed, 2 drove real sales in the first month:

The Notion CRM for solo consultants — 31 sales in 30 days at $27. Total: $837. This one had the most specific audience and the most specific problem. Solo consultants who work with 5–15 clients at a time and need to track status, notes, follow-ups, and communications in one place. It filled a real operational gap.

The freelance copywriter prompt pack — 24 sales at $37. Total: $888. The key was the specificity. Not "prompts for writers" — prompts for a specific type of writer (freelance copywriters) for a specific set of tasks (client briefs, proposal writing, deliverable production, revision requests).

What Didn't

The LinkedIn prompt pack did a handful of sales and stalled. Why? Probably because LinkedIn prompt packs are everywhere now. The supply of "prompts for LinkedIn content" is enormous. I wasn't specific enough.

The ebooks — both the pricing guide and the AI tools guide — barely moved. I think ebooks need either a very well-known author or strong SEO traffic to convert at volume. Launching them into the void without a traffic source is slow.

The questionnaire template bundle got 4 sales, which wasn't nothing, but also wasn't exciting.

The course launch checklist got zero sales. I think this was a product that sounds useful but doesn't have enough search intent or social sharing pull to find buyers without active promotion.

What I Learned

Specificity wins every time. The products that sold were the ones with the narrowest, most specific audience and problem. The ones that flopped were broader, more generic versions of things that already existed.

AI speeds up production, not selection. AI tools made me dramatically faster at building. But they did nothing to help me pick better products. Product selection is still entirely a human judgment call — and the most important one.

Marketplaces vs. owned traffic. If I'd had search traffic or a newsletter list, more of these would have sold. Without a traffic source, most digital products just sit there. The Notion CRM and prompt pack sold because I posted them in specific communities where the exact audience lived.

One good product beats ten okay ones. By month two, those two products were doing 80% of my digital product revenue. The other eight were still listed and occasionally got a sale. But if I'd just built those two well and promoted them properly, I'd have been in the same financial position with 70 hours back.

If you're starting out, the lesson isn't "build 10 products to find winners." It's "do enough research before you build that you're not guessing." I wrote about that research process in detail at /blog/how-to-validate-your-digital-product-idea-before-you-build-it-2028-method.

All of the products from this experiment are still live on MadeThis. If you want to start building your own product, that's where I'd recommend setting up shop. The checkout converts well and you can get a product live in an afternoon.