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How To Create A Digital Product With AI Without It Sounding Like AI

The short answer: a digital product sounds like AI when it contains three absences — no proper nouns, no checkable numbers, no refusals.

Gizella Nagyne Palinkas

9/13/20265 min read

The short answer: a digital product sounds like AI when it contains three absences — no proper nouns, no checkable numbers, no refusals. Fix those and the file reads as written by a person, whichever model produced the sentences. The fix is a change of order: let the model interview you before it writes anything, build the structure from the buyer's real questions, draft under a banned-and-required word list, then cut rather than rewrite. AI is excellent at arranging and poor at deciding. Give it the arranging, keep the deciding.


That is the method. The rest is how each part works.

What "sounds like AI" actually means

People rarely object to AI writing on vocabulary grounds. They are reacting to something structural — three things missing at once.


No proper nouns. Nothing is anchored to a real tool or moment. The text says "a design platform" instead of Canva, "several weeks" instead of the week something went wrong.


No numbers that could be wrong. Generic writing avoids falsifiable claims. It says "a number of revisions" because "eleven revisions" commits you to something, and commitment is what makes writing feel authored.


No refusals. Generic writing never tells you not to do something. This is the big one, and it gets its own section below.


Check any suspect paragraph for all three. In a genuinely generic passage all three are missing at once — a mechanical diagnostic, not a judgement call.

The three-question page test

Before any page ships, ask: could this sentence appear in a competitor's product unchanged? Does the page contain one thing the reader could verify? Does it tell the reader something not to do?


A page failing all three is filler — and the real cost is that it teaches the buyer the rest of the file is filler too.

Pass one: let the model interview you

This is the pass nearly everyone skips, and skipping it is why the other three underperform.


Do not ask the model to write your product. Ask it to interview you. Give it the topic, the buyer and the format, then instruct it to ask twenty questions it would need answered before it could write something only you could have written.


Then answer badly — voice notes, fragments, no tidying. Tidy answers are smoothed answers, and smoothing removes the specifics you are trying to capture.


What comes back is raw material the model could not invent, because it is your history. Twenty minutes of this yields more usable substance than an afternoon of prompt engineering.

Pass two: build a skeleton out of questions, not topics

Hand your raw answers back and ask for a structure in which every section is a question the buyer is actually asking, in the order they would ask it. Not topics. Questions.


  • Pricing is a topic.

  • What do I charge when I have no reviews yet is a question.


A question-shaped heading forces the section beneath it to answer something. A topic-shaped heading lets it merely discuss.

Pass three: draft under constraints

Constraints do the work talent normally gets credit for. Before the model writes a word, give it two lists.


Banned: unlock, leverage, journey, game changer, "in today's fast-paced world", and any sentence opening by restating the heading above it.


Required, in every section: one named tool, one number, one thing not to do.


Unglamorous, and more effective than any clever phrasing. Models are extremely good at compliance — that is the trait to exploit.

Pass four: subtract, do not rewrite

Ask the model to mark every sentence that could be deleted without losing information. Then delete them yourself.


The distinction matters: rewriting reintroduces the smoothness you are removing, because the model will happily replace a flabby sentence with a better-formed flabby one. Deletion cannot.


Expect to lose a quarter to a third of the word count, and expect the file to feel abruptly more confident — confidence in writing is largely the absence of throat-clearing.

The specificity ledger

Here is a check for a draft you already have. Make a three-column ledger — named things, checkable numbers, refusals — and log every instance.


Most twenty-page AI drafts produce two or three rows total, almost all in the introduction, because that is usually the only part the author wrote personally.


Aim for one row per page. Nothing needs inventing: you already know which tools you use and which mistakes you made.

Why AI writing feels empty: it never refuses

Language models are trained toward agreeableness, and agreeableness inside a paid product reads as emptiness.


Ask about pricing and a model lays out six approaches evenly and recommends none, because recommending one risks being wrong. But taking that risk on the buyer's behalf is the entire product. Information is free. Judgement is scarce and has a name attached to it.


Every place your draft is perfectly balanced is a place you declined to be useful.

Write your ten decisions first

The most valuable exercise here, and it takes ten minutes. Before drafting anything, write ten sentences in this form: for this buyer, in this situation, do this and not that.


  • I would use one platform, not three.

  • I would launch with one product, not a suite.

  • I would write the sales page before writing the product.


These ten sentences are the product's spine. No model can generate them, because they are not knowledge — they are positions. Once they exist, everything else in the file is support and arrangement, which is precisely what AI does well.

A worked example

Say you are building a pack of social media templates with a short setup guide.


The AI version heads a section Customising your templates and says to adjust colours and fonts to match your brand. True, useless, present in every guide ever written.


The decided version heads it Which three things to change and which nine to leave alone. Change the logo, the accent colour, the font pairing. Leave the spacing, because it took eleven versions and it is why the pack looks professional.


Same topic. One was written by someone who had actually built the thing.

"But this is more work"

It is more work at the front, and less in total.


The four passes add perhaps two hours across a whole product. Rewriting one after buyers quietly stop finishing it takes weeks — and you rarely find out that is what happened, because nobody emails to say they lost interest on page four. Front-loaded effort is the only kind that compounds.

Where you should hand the whole thing to AI

Being precise about this saves real time. Give the model, without hesitation:


  • Alt text for every image

  • One paragraph rewritten at three lengths for three placements

  • An index, or a checklist converted into a table

  • A check on whether section headings are parallel

  • The plain description of what is inside the file


None of it carries judgement, all of it is tedious, and none of it is what the buyer is paying for. Automate arrangement completely; keep all deciding.

Your first forty minutes

  1. 10 minutes — your ten decisions, unedited, in whatever order they arrive.

  2. 15 minutes — the interview pass, answered out loud into a transcript rather than typed. Typing makes people tidy, and tidy is the enemy here.

  3. 10 minutes — turn those answers into question-shaped headings.

  4. 5 minutes — write your banned list and your required list.


Do all of it before opening a design tool. A beautiful file with nothing decided inside it is the most expensive mistake in this category.

FAQ

Does using AI to write a digital product mean it is low quality? No. Quality tracks how much deciding the author did, not which tool typed the sentences. The low-quality case is the one where the model did the deciding too.


Will AI detectors flag my product? Detectors are unreliable in both directions and not the standard worth optimising for. Readers are the real detector, and they respond to the three absences above.


How long should a digital product be? Long enough to answer the buyer's questions and no longer. Length is a poor proxy for value; finished-ness is a much better one, and shorter products get finished.


What if I have no specific examples yet because I am just starting? You have more than you think. The tools you tried and abandoned, the setting you could not find, the step that took three attempts — all specific, checkable and unforgeable. Beginners often have the best examples, because they still remember what was confusing.

Where to go next

If you want the whole build rather than the writing half — niche, creation, marketing, launch, in order — the Digital Product Beginners Guide is free and complete, with nothing held back for a paid version.


For the method written down in sequence, Creating a Digital Product in 6 Steps is €7. And 100+ Gemini Prompts for Business is a free starting library for the drafting passes.


Go and write your ten decisions. Everything else gets easier after that.