AI writing

What this category covers

Drafting tools, rewriting tools and editors with a model behind them. Some are aimed at marketing output, some at long documents, some at the messy middle where you have five sources and need one readable page.

Products that mainly do research, support answers or workflow automation sit in AI tools. Products that publish and schedule what you write are in content management and social media.

Control is the whole game

Anything can produce a thousand words. The difference between products is how much steering you get before and after that happens.

Look for a brief that carries more than a topic: audience, angle, sources to use, things to avoid, structure to follow. Then look at what you can do to the draft afterwards, sentence by sentence, without regenerating the whole page and losing the parts that were fine.

Long-form work has its own requirements. A tool that writes excellent paragraphs and forgets what it argued two sections earlier will cost you more in editing than it saved in drafting. Test with a piece of real length before believing anything about it.

Voice comes next. The serious products learn from writing samples you supply and hold that register across a document. The rest offer a dropdown of tones that all sound the same after a paragraph.

Sources, facts and the part you cannot delegate

Every one of these tools will state something false with complete composure.

Prefer products that let you supply source material and stay inside it, and that show which source a claim came from. Anything that invents a statistic and cannot say where it came from should never be used for anything a customer reads.

That last habit is the expensive one.

Numbers, names, dates, prices and quotes need a human check every time, and the check has to be done by somebody who would notice if the figure were wrong. That is the job the tool does not do, and it is the reason a subject expert with a fast drafting tool beats a fast drafting tool alone.

What the plans really meter

• Words or credits per month, usually reset rather than rolled over.
• Model tier, with the strongest model on a higher plan than the one advertised.
• Seats, sometimes with a separate cheaper role for reviewers.
• Documents and storage, which matters once the team has a year of drafts.
• Extras such as plagiarism checks, translation and export to a CMS.

Annual billing carries the usual discount, and the usual catch: the advertised monthly figure is often the annual rate divided by twelve. A short note on that habit and its neighbours lives in what pricing pages hide.

Where teams go wrong with these tools

Volume is a trap. Publishing forty mediocre pages a month buries the six that were worth writing, and search engines have spent two years getting better at spotting exactly that pattern.

The second trap is skipping the outline. A model given a headline produces the average of everything ever written on that headline. A model given a structure, an opinion and three sources produces something closer to your own work.

The third is editing nothing. Machine drafts share tics: even paragraph lengths, hedged endings, a fondness for the same connective phrases. Readers may not name the pattern, but they notice the flatness.

What to test

Take a piece you published last quarter, feed the tool the same brief, and compare. Not for beauty, for how much editing the draft needed to reach the standard you actually ship at.

Then run something with constraints: a product page with fixed claims, or a piece where a legal line cannot be paraphrased. That is where tools separate.

Where these tools genuinely save time

The productive uses are narrower than the marketing suggests, and knowing them keeps expectations sensible.

Structuring material you already have, where the facts exist across notes and sources and the work is arrangement rather than invention. Producing variants of something written once, for different audiences or lengths. Editing passes, where a draft needs tightening rather than composing. Getting past a blank page on a piece you know how to write but have not started.

The unproductive uses are equally consistent. Anything requiring knowledge the model does not have, anything where being wrong is expensive, and anything you cannot check.

Judge a tool on the first list rather than on demonstrations of the second, and measure the saving in editing time rather than in words produced.