Gains:
- Ability to recognize signs of hyper-artificial (generic) text (cliche phrases, empty sentences, monotonous rhythm) and apply editing techniques that humanize AI output
- Ability to transform the artificial intelligence draft into distinctive content by adding an original perspective, real example, personal experience and brand-specific detail
- Being able to understand that originality and editorial judgment belong only to humans, and that artificial intelligence cannot write the final text, let alone the draft.
The biggest danger of AI-generated content isn't that it's inaccurate — it's often grammatically perfect. The real danger is that they all look alike. Because AI learns from the average of millions of texts, it writes "average": technically correct but soulless, fluent but hollow, neat but forgettable. Readers, and increasingly search engines, began to detect this “hyper-artificial” (generic, AI-scented) text. There's nothing worse for a brand: every mediocre piece of content you publish makes your brand indistinguishable from its competitors. What this unit is about is taking your AI blueprint and turning it into content that is truly yours, truly your brand, truly worth reading. This is the most critical skill that makes a content creator valuable in the age of AI.
Let's lay out the basic principle from the beginning: Originality and editorial judgment are found only in humans. AI writes the draft, but you write the final text. Adding distinctive value; The real example is the unique perspective, personal experience, and brand-specific detail — these are things that AI cannot produce, because they come from experience.
Signs of hyper-artificial text
Recognizing the “AI smell” is the first step in clearing it. Typical signs:
- Empty cliché openings: "In today's rapidly changing world...", "With the development of technology...", "As it is known...". Sentences that don't give any information, just fill in the blanks.
- Empty transitional patterns: "It should not be forgotten", "It should be emphasized", "In conclusion we can say".
- Lack of concrete examples: Everything is general; No real names, numbers, events, dates, experiences.
- Uniform rhythm: All sentences are of similar length; The text flows monotonously, there are no pauses.
- Empty balances that hold both sides: paragraphs that begin "On the one hand... on the other hand..." and express no opinion.
- Excessive adjectives and embellishments: unfulfilled compliments like "magnificent, unique, revolutionary."
- List disease: Listing everything item by item and not delving into any item.
The table below shows the same idea in two cases:
hyper-artificial
humanized
“Content marketing is very important today.”
“Last year we published 40 blog posts; the 3 that made it to the top 5 had one thing in common: none of them were 'lists of tips'.”
"Customer satisfaction is the key to success."
"One of our customers canceled their return request, only because our support team responded within 4 minutes."
"It is necessary to produce quality content."
"Good content is content where the reader says 'I've never thought of it that way before'."
Humanizing techniques
Concrete ways to turn an AI draft into an original text:
1. Add real sample and data. Put an actual event, a real number, or a customer story under a general sentence. The example makes the text both convincing and your own.
2. Get an original opinion. AI avoids giving opinions, balances. You take a side: “Most brands do X, but I think it's wrong because…” A bold but reasoned opinion makes the content distinctive.
3. Add personal/brand specific details. Your own experience, your brand's story, an observation specific to your industry — these are things that belong only to you, that the AI cannot know.
4. Break the rhythm. Mix short sentences with long ones. Sometimes a single word emphasis. This adds human breath to the text.
5. Delete the clichés. Remove every "in today's world" and "it should not be forgotten"; enter directly into the sentence.
6. Read out loud. If a sentence sounds strange when speaking, it also sounds strange in writing. Speech testing captures artificial timbre.
Humanization prompt (but you do the real work):
Edit the following draft to make it less generic:- Delete cliché opening and blank transition phrases ("in today's world", "it should be remembered", etc.)- Vary sentence lengths- Put a "[REAL EXAMPLE HERE]" placeholder next to each general claim (I'll add the examples)- Clean up excessive adjectivesDraft: [text]
Caution: Telling AI to “humanize this” is of limited use; because AI writes from its own average again. True humanization—the authentic example, the real vision, the lived detail—is your contribution. AI can "clean up" the text, but it can't "make it yours." You fill in the placeholders.
"AI detectors" trap
Some tools claim to detect whether a text was "written by AI." These tools are unreliable: they can both flag real human text as "synthetic" and vice versa. Your goal should not be to fool a detector; Your goal should be to produce truly valuable, original content. Edit a text "to add value to the reader," not "to pass the detector." Value-adding content makes detector anxiety unnecessary.
Weak editing / Strong editing
Weak approach: Take the AI draft, change a word or two and publish it. The text is still generic; Only the polish has changed, the essence is the same.
Strong approach: Seeing the outline as a scaffolding. Add a factual example, a number, or an opinion under each general paragraph; erasing clichés; break the rhythm; Adding a special angle to the brand. This edit rewrites perhaps half of the text—and that's exactly why it's valuable.
three mini cases
Case 1 — Transformation by example. A consultant was about to publish a mediocre AI-generated article on the theme "team communication is important." Instead, under each general claim, he added an actual incident from his own counseling experience. The same skeleton turned into a completely different text; in the comments, readers wrote, "I saw my own team." The difference was the examples the human added, not the AI.
Case 2 — The courage of vision. Two brands wrote about the same topic with AI. Someone published a balanced, opinion-free text and it went unnoticed. The other took a clear opposing view (“This tactic that everyone is suggesting is actually harmful, because…”) and started a discussion, which was widely shared. AI balances; People take sides, and taking sides attracts attention.
Case 3 — Polish is not enough. One team only lightly edited and published AI drafts to speed up production. After a few months, blog traffic dropped; the contents were indistinguishable from those of competitors. The strategy has changed: less but truly original, example-packed content. Quantity is down, impact is up.
Common mistakes
- Dropping the cliche opening and empty transitions. Phrases like “in today's world” immediately make the text generic.
- Not adding concrete examples. Generic claims are not convincing and do not feel like they belong to the brand.
- To refrain from expressing an opinion. The balanced but impartial text is forgotten; distinguishes a reasoned opinion.
- Just calling AI "humanize" is enough. True humanization requires human contribution.
- Focusing on fooling the AI detector. The goal is not to beat the detector, but to add value to the reader.
Tip: Before publishing every AI draft, apply this test: “Is there at least one thing in this text that only I/my brand would know?” (an example, an opinion, an experience). Otherwise, it's still generic. This single question is the line that separates hyper-artificial content from distinctive content.
In summary
The biggest risk of content in the age of AI is not inaccuracy, but mediocrity. AI produces the mean; The hyper-artificial text is characterized by clichéd openings, empty transitions, absence of examples and monotonous rhythm. It's the human touch that turns this into distinctive content: real example, original insight, personal experience, on-brand detail and broken rhythm. The AI blueprint is a scaffolding; You write the final text. Originality comes from experience, and experience exists only in humans.
Application task
Get an outline on any topic from AI. First, flag the hyper-artificial signs in it: clichéd openings, empty transitions, unexampled assertions. Then really humanize the text: add at least two real examples/data, make a clear point somewhere, delete clichés, vary sentence rhythm. Finally, "what is in this text that only I can know?" Answer the question. Compare the before and after and write your notes.
checklist
- [ ] Did I delete the cliché opening and empty transition patterns?
- [ ] Have I included at least one real example/data/experience?
- [ ] Is there a clear, reasoned opinion in the text?
- [ ] Did I vary the sentence rhythm and read it out loud?
- [ ] "Is there anything in this text that only I would know?" Can I say yes to the question?