AI Article Generator
An explainer, a guide, an analysis or a comparison — pick the promise and the article is written to keep it: short answer first, mechanism next, limits last.
The AI Article Generator writes an article of 500, 900 or 1,500 words as an explainer, guide, analysis or comparison, for the reader and tone you name. The article comes back as one text you can edit in place, and the length you choose decides how much it can cover.
Four types, four different duties duties
Owes: mechanism. The reader should be able to retell how it works without notes.
Sections: the short answer, how it works, where it breaks, a worked example, sources of error.
Owes: sequence. Step one must be doable before step two exists.
Sections: what you need, the steps in order, the point where people stop, how to check you did it right.
Owes: a claim you can argue with, and the evidence that would prove it wrong.
Sections: the claim, the reasoning, the counter-case, what would change my mind.
Owes: a decision rule. Not two lists of features, but "choose A if..., choose B if...".
Sections: the two options in one paragraph each, the axis that matters, the rule, the exceptions.
How a draft gets made
Choose the promise
Name the reader
Read one tab at a time
An article that admits a limit is harder to dismiss than one that claims everything.
| Type | First section | What must be true at the end |
|---|---|---|
| Explainer | The short answer | The reader can retell the mechanism |
| Guide | What you need | The reader has done step one |
| Analysis | The claim | The reader knows what would disprove it |
| Comparison | Both options in a paragraph | The reader knows which one is theirs |
Before you publish
How long is a generated article?expand_more
Can it cite sources?expand_more
Is the text plagiarism-free?expand_more
What if a section is thin?expand_more
What an article owes the reader
An article is a promise that the reader's understanding will change by the last paragraph. Most writing advice concerns style, but the reason an article fails is almost always that the promise was never made: it reports on a subject instead of moving the reader from one belief to another. The tool on this page is built around that movement. It asks for a type — explainer, guide, analysis, comparison — because each of those four promises a different kind of change.
The four shapes and what each one owes the reader
An explainer owes mechanism. If the reader finishes and still cannot say how the thing works in their own words, the article failed, no matter how pleasant it was. That is why the explainer here is asked for a short answer first, then the mechanism, then the places where the mechanism breaks. A guide owes sequence: step one, step two, and the point at which most people stop. An analysis owes a claim strong enough to be argued with, plus the evidence that would change the author's mind. A comparison owes a decision rule — not a list of features on both sides, but the sentence "choose A if..., choose B if...".
The type is not decoration. It decides which sections exist, how long each runs, and what the closing paragraph is allowed to say. Choosing "comparison" and receiving an essay about the history of both options is the most common failure of generated content, and it happens because the instruction was vague, not because the model cannot compare.
Why the short answer comes first
Readers scan before they read. Putting a three-sentence answer at the top serves two purposes: it lets a hurried reader leave satisfied, and it forces the writer to know what the article claims before writing six hundred words around it. This is the same discipline as a thesis statement, with one advantage — it is written for someone who will not read the rest, so it cannot lean on later sections to make sense.
After the short answer comes the mechanism. Explaining how something works requires naming parts and their relationships, and it is where a draft most often goes vague, because vagueness is easier than precision. The instruction to describe the reasoning rather than cite imaginary studies keeps the model inside what it can actually do: explain a chain of cause and effect without pretending to have data.
The section about where it breaks
Every useful explanation has edges. A heat pump works well until the house loses heat faster than the unit can move it in. A pricing model works until a competitor with lower fixed costs enters. Naming the edge is what separates an article from a brochure, and it is the section readers quote when they share the piece. It also protects the writer: an article that admits a limit is harder to dismiss than one that claims everything.
Working with the draft
The output arrives split into sections behind tabs, so you can read and rewrite one part at a time instead of scrolling a wall of text. Copy the part you are editing, keep the headings that carry the argument, and delete any paragraph that only restates the previous one. A thousand-word article usually improves by a hundred words.
Add the specifics only you have: a number from your own records, a sentence a customer said, the exception you discovered. Those additions are what make the piece defensible when someone checks it. The model is good at the shape of an argument and bad at the facts inside it; write accordingly, and the draft becomes a scaffold rather than a liability.
The ending is not a summary
The last paragraph of an article is where most drafts waste their best opportunity. A summary repeats what the reader has just read, which is useful in a meeting and pointless on a page. What an ending owes instead is a single next action or a single reframed question: the thing the reader can do tonight, or the sentence that makes them see the earlier sections differently.
In a guide, that action is the first step of the sequence, named plainly. In an analysis, it is the observation that would settle the argument. In a comparison, it is the rule “choose A if..., choose B if...” stated once, without hedging. If the draft ends with “in conclusion, this article has explored...”, delete the paragraph and write the action instead; the argument is already complete without it.
One more habit separates a readable article from a dense one: read each section’s first sentence on its own, in order, ignoring everything else. Those five sentences should form a short version of the whole piece. If they do not, the sections are not carrying their headings, and no amount of polishing the prose will fix it.
Keep writing writing
fact_checkQuick facts
- The type changes the structure: an explainer moves from the question to the mechanism, a comparison moves from the criteria to the verdict.
- A 500-word article that carries four arguments is a list; the same four at 900 words are an article.
- A language model reads text in tokens, and one token is roughly four characters of English, so a 300-word answer is about 400 tokens.menu_bookOpenAI Cookbook
- The output depends on the prompt: the same request with a different tone or length instruction produces a different text, not a different answer quality.menu_bookOpenAI Cookbook
- Google builds a title link and a snippet from the page itself, and it may use a heading or a sentence from the body instead of the meta description.menu_bookGoogle Search Central
helpQuestions people ask
Which type of article should I write: explainer, guide or comparison?expand_more
How long should an article be?expand_more
How do I make an AI article more useful than the others?expand_more
hubWhat this page is about
- Large language modelopen_in_new
A model that predicts the next token of a text; the site sends the prompt to a hosted model and returns its answer.
- Answer engine optimisationopen_in_new
Writing a page so that a search engine or an AI assistant can lift one clear, sourced answer out of it instead of guessing.
- Token (language model)open_in_new
The unit a language model reads and writes, often part of a word; English text averages about four characters per token.
library_booksOfficial sources cited on this page
- How to count tokens with tiktokenOpenAI Cookbook
- How Google generates titles and snippetsGoogle Search Central
- FAQPage structured dataGoogle Search Central
- HowTo structured dataGoogle Search Central
Keep going with the next tool
The tools in this group that do the next piece of the same work, all switched on right now.
Switched-off tools are not listed here: only what works right now.