AI Blog Writer
Type a subject, choose an angle, and get a structured draft with a hook, a method and a closing line — written by the model running on this server, not by a subscription you cannot see.
The AI Blog Writer produces a blog post of 600, 1,000 or 1,600 words in one piece, with the angle, the tone and the output language you choose. You can edit the full text in the editor under the result, and restructure it instead of stitching sections together.
The blank page is not the problem
Most people who write for a living can produce a sentence about anything. What stops them is the shape: which section goes first, how long each one runs, and where the reader is allowed to leave. That is the part a model does well, because it has seen ten thousand posts that worked and ten thousand that did not.
So the tool does not ask you to have an idea. It asks for a subject and an angle, then commits to a structure you can argue with.
- check_circleWho is this post for, in one line
- check_circleWhat do they believe right now
- check_circleWhat should they believe after reading
- check_circleOne example from your own work
- check_circleOne number you can defend
Five lines, two minutes. The draft is only as specific as the brief, and a brief with a real customer in it produces paragraphs a competitor cannot copy.
A word budget, not a word count word budget
Every section gets a number before a single sentence is written. When one section grows, another has to give way — which is why the draft does not open with four hundred words of introduction.
Six blocks, 1,500 words, and a budget for each one: the outline is a word count before it is a list of headings.
Three decisions, then writing
Subject
Angle and length
Edit what lands
What the desk actually does actually
Structure first
Headings are chosen before prose, so the post has a shape a reader can scan.
Word budget
Each section has a length. Nothing pads itself to fill space.
Every part is copyable
Copy one section, the whole draft, or download it as Markdown.
No account
The draft is written on this server and handed straight back to the page.
Questions writers ask
Will the post sound like me?expand_more
Can I use the text on my own site?expand_more
Does it search the web?expand_more
Why is the length sometimes shorter than I chose?expand_more
Which language does it write in?expand_more
Why a structured draft beats a blank page
A blog post fails for a small number of boring reasons. It answers a question nobody asked. It opens with three paragraphs about the history of the topic. It promises a method and delivers an opinion. It ends with a summary of what the reader has just read. None of these are writing problems in the literary sense; they are structural ones, and structure is exactly what a machine can hold steady while a person writes.
That is the honest description of what the tool on this page does. It is not a ghostwriter with opinions about your industry. It is a drafting partner that has read a very large number of blog posts and knows their shape: a hook that names the reader's problem, a section that explains why the obvious approach fails, a method broken into steps, and a closing line that sends someone back to their desk. Give it a subject and it returns that shape filled with sentences about the subject.
Why the first paragraph decides everything
Search results and social feeds show roughly the first forty words of a post. If those words are "In today's fast-paced world, businesses must..." the reader has already left. The draft this tool writes opens with a concrete situation instead: who is doing what, and where it goes wrong. It is a rule that can be stated in one sentence, and once it is stated, the model follows it far more reliably than most people do at eleven at night.
The same logic applies to headings. A heading is a promise, and a list of promises is a table of contents a reader can scan in four seconds. When the structure is fixed before the prose, the prose has somewhere to go. Writers who skip the outline do not skip the structure; they just discover it late, after the third rewrite.
The word budget
1,200 words is a useful default for a blog post, but only if it is distributed on purpose. The tool works from a budget: about 150 words to answer the question, 350 for the method, 300 for the part competitors leave out, 350 for an example with real numbers, 250 for the questions readers ask next. Six blocks. When one block grows, another has to shrink, and that single constraint removes most of the padding that makes business blogs unreadable.
Length is not quality, and the tool will happily write 600 words if you ask for a short post. What it will not do is stretch 600 words of substance over 1,600 words of introduction. If the topic does not support the length you chose, the shorter option is the better post.
What a draft can and cannot do
A draft can carry the argument while you supply the evidence. It does not know your customers, your prices, the mistake you made in March, or the sentence a client said on the phone. Those are the parts readers remember, and they are the parts you must add. Treat the output as a skeleton with muscle but no scars.
It also cannot check facts. Every number in a generated draft is a placeholder until you replace it with one you can source. This is not a limitation to work around; it is the division of labour. The model is fast and tireless at structure and phrasing. You are the only one who knows what is true.
A workflow that keeps the voice
Write three sentences yourself before you open the tool: who the post is for, what they believe now, what they should believe afterwards. Paste the first into the subject field and keep the other two beside you while you edit. When the draft arrives, cut the first paragraph and see whether the second works as an opening; generated openings are usually one sentence too polite. Then replace every generic example with one from your own week.
Finally, read it out loud. Anything you would not say to a customer across a counter is a sentence the model wrote and you did not finish. The draft is a first pass, and a first pass that arrives in eleven seconds is worth editing; the alternative is a blank page that arrives in eleven hours.
Measure the post, not the traffic
A blog post has one job beyond being read: it should be the page you send someone when they ask the question. That is a simpler target than ranking, and it is measurable. Keep a list of the questions customers actually ask on the phone, and check after a month whether the post answers one of them completely. If it does, the traffic arrives on its own; if it does not, no amount of editing the introduction will help. This is also why the tool asks for an angle rather than just a subject — “how to price a subscription” and “why subscriptions fail” are answers to different questions, and only one of them is the one you get asked.
Then write the next post from the comments, the replies and the objections you heard while selling. The best subject for a blog post is always a sentence a customer said out loud, and that sentence is the one thing no model can supply.
More from the writing desk writing desk
fact_checkQuick facts
- A 600-word post answers one question; a 1600-word post needs several sections or it starts repeating itself.
- One model token is roughly four characters of English, so a 1000-word draft is around 1300 tokens of output.
- 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
- FAQPage and HowTo structured data are only eligible for a rich result when the questions and steps are visible on the page itself.menu_bookGoogle Search Central
helpQuestions people ask
How do I write a blog post with AI and keep it original?expand_more
Will Google rank an AI-written blog post?expand_more
Should I say that a blog post was written with AI?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.
- 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.
- 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.
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.