“Could you get more done by putting 100 AI assistants to work at once?”
That sounds like a fun question. A hundred helpers might finish a hundred separate tasks in no time. They might also make a hundred mistakes, leaving one exhausted human to clean up the mess.
There’s your story. You can practically see the poor manager opening 100 reports.
Somehow, a draft about that simple idea grew into eight sections. It wandered through academic findings, obscure terms, legal responsibility and human relationships. By the end, the original 100 assistants had vanished under a mountain of explanation.
The reader’s response was short: “I can’t take any of this in.”
Fair enough. Where did the story go?
We kept adding useful information until the useful part disappeared
Writers are tempted to add everything they know. Include a study. Cover the exceptions. Explain the wider implications. Throw in another example.
Each addition seems sensible on its own. Together, they can make a reader lose the thread.
Someone who clicked to learn whether 100 AI workers could beat one suddenly finds themselves reading about transport systems and the law. Meanwhile, the writer feels proud: look at all those carefully researched paragraphs.
The reader left three sections ago.
This article needed one clear path: multiple AI assistants can split up independent jobs, but their results still need checking. That idea had enough tension and humor to carry the piece.
Every fancy term comes with an explanation bill
Suppose you want to describe a system where an AI does a task, checks the result and fixes its mistakes.
You can write exactly that: “Let the AI do the work. Check what came back. If something is wrong, have it try again.”
Now the reader knows what happens.
Give the same process an unfamiliar label and you have created homework. You must explain the label, then perhaps explain the words inside that explanation. Before long, you are explaining your explanation.
Nobody opened the article hoping for a vocabulary test.
Stop announcing that the next paragraph will reveal a grand truth
AI-written prose has a habit of dressing up ordinary points:
“This goes beyond mere efficiency.”
“The real significance lies elsewhere.”
“A deeper challenge now emerges.”
Those lines sound dramatic. They also delay the answer.
A simple sentence does the job: “The more AI assistants you use, the more results you may need to check.”
The next paragraph can start immediately. No curtain, drumroll or announcement that we are about to discover the secrets of the universe.
Every paragraph can be useful without giving a keynote speech.
Show the reader what actually happens
Here’s a sentence that looks respectable:
Greater productivity requires efficient distribution of work and continuous evaluation of output quality.
Now try this:
You gave 100 AI assistants a job each. All 100 reports arrived at once. If 30 are wrong, who gets to check them?
The numbers are just an example, not measured results. But now we can picture a person, a pile of reports and a very bad afternoon.
The second version gives the reader something to see. That makes the problem easier to follow and a lot harder to forget.
Before adding one more paragraph, try cutting one
Three questions help when editing:
- Am I still talking about the interesting thing that started this article? Save side topics for another day.
- Can I say it in ordinary words? Describe who does what before inventing a label.
- Can a new reader picture the scene? If only the writer can follow it, rewrite it.
Some articles genuinely need detailed research. Some topics depend on exact figures. Keep those where they do real work.
For a funny, everyday idea, give the reader a clear story and enough information to understand it. Then stop.
AI can generate mountains of prose in seconds. Editing is the art of deciding which mountain should stay off the page.
After all, having an AI spend ten minutes explaining something that a reader abandons in thirty seconds is a punchline nobody ordered.
