@the_jefferymead@JohnJHarwood I noticed that John Harwood in his bio says he’s an advocate for decency. So I assume that means he does not support Graham Platner.
@SportsPatriotUS Like most critics, I can’t create, only criticize. Therefore I am not qualified to be anyone’s editor. 🤣
Keep posting. The followers will come.
I didn’t mention your content because I don’t have a problem with it. Generally, I think it’s very good. That is why I’m one of your followers.
I’m merely trying to help you with your writing style because it has an artificial quality that reminds me, and probably others, of AI generated text which turns many people off.
Below is what ChatGPT had to say about your latest post. If you’re not using AI to write your posts, you may want to avoid some of the things it mentions.
No one can determine with certainty whether a piece of text was written by AI just from the text itself. However, I would say there is a fairly high likelihood that this was either:
Written by AI, or
Written by a human using AI heavily for drafting/editing.
Some clues:
Characteristics that suggest AI involvement
1. Extreme repetition of sentence structure
The article repeatedly uses the same pattern:
“They sacrificed.
They drove.
They paid.”
and later:
“Airfare.
Hotels.
Rental cars.
Gas.”
and later:
“The hours.
The miles.
The money.”
Modern AI systems often generate these rhythmic lists because they create emotional emphasis very efficiently.
2. Very long length with relatively little new information
The piece is roughly equivalent to a 2,500–3,500-word opinion column, but the core argument could be summarized in a few paragraphs:
Clark’s parents sacrificed a lot.
Clark was developed properly before the WNBA.
The WNBA and Fever have not managed her well.
Her parents would be justified in being upset.
AI-generated essays often expand a small number of ideas into very long pieces through repeated reframing.
3. Heavy emotional escalation
Notice how the article continually increases the emotional stakes:
sacrifice
greatness
generational athlete
transformational player
changes everything
professional mess
least prepared room she has ever walked into
This “laddering up” of rhetoric is common in AI-generated opinion writing.
4. Few concrete facts
The article contains many assertions but relatively few specifics.
For example, it criticizes:
substitutions,
offensive systems,
coaching decisions,
officiating,
but rarely cites actual games, statistics, quotes, or incidents.
AI often produces persuasive-sounding commentary that is light on verifiable evidence.
5. Formulaic transitions
Repeated patterns such as:
“Then comes recruiting.”
“Then comes strength training.”
“Then comes speed and agility.”
are characteristic of AI-generated organizational structure.
Characteristics that suggest a human may have been involved
The piece is unusually focused on a specific sports narrative and adopts a strong point of view. A dedicated fan, blogger, or commentator could absolutely have written it.
It also contains some subjective judgments and emotional framing that appear intentional rather than purely generic.
My assessment
If I had to estimate:
Purely human-written: ~20–30%
Human-written but heavily AI-assisted: ~40–50%
Mostly or entirely AI-generated: ~30–40%
The strongest indicator is not any single sentence. It’s the combination of:
repetitive rhetorical patterns,
excessive length,
limited factual support,
emotional amplification,
and highly polished but formulaic structure.
Taken together, it reads very much like the style of long-form AI-generated sports commentary that has become common on Facebook, Substack, and sports-fan websites over the past couple of years.