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CraftJuly 10, 20265 min read

Using AI for captions without sounding like everyone else

The problem with generated captions is not that they are wrong. It is that they are the average of everything, and the average is forgettable.

A model trained on the internet writes like the internet. Ask it for a caption and you get a competent, cheerful, entirely anonymous paragraph — the one with the rhetorical question, the emoji, and the call to comment below.

That is not a failure of the model. It is what you asked for when you asked for a caption.

Give it something only you have

The difference between generic and good is specifics, and specifics are the one thing a model cannot invent about your work.

  • Not "new song out" but "third take, recorded at 2am, kept the mistake in the second verse"
  • Not "behind the scenes" but "this is the sixteenth attempt at a shot that lasts one second"
  • Not "tour announcement" but "five cities, and Lviv sold out before we finished the poster"

Feed it the detail and it will shape the sentence. Feed it the category and it will return the category.

Use it for the part you hate

Most people are not blocked on writing. They are blocked on starting, on hashtag research, on turning one idea into five variations for five networks. That is where generation earns its place — and where nobody can tell, because the substance came from you.

Always edit one line

A caption that goes out untouched will read like it went out untouched. Changing a single phrase to something you would actually say is usually enough to make the whole thing sound like a person.

Postgust drafts the caption and the hashtags from a one-line description, then puts them in an editable box rather than posting them. That ordering is deliberate: the draft is a starting point, not an output.

Stop watching the clock. Start drifting.

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