How to Tell if Content Is AI Generated

Look for even sentence rhythm, symmetrical structure, hedged claims, generic detail and a closing line that could belong to any brand. Those tells come from prompting with no contract, and they fade when the writing is held to a declared format and built from a real story.

What are the five tells?

They are the five things people notice before they can explain why a caption feels off. Read a suspect post once and check them in this order, because the early ones are the fastest to spot.

Even rhythm. Every sentence lands at roughly the same length, so the whole caption reads at one speed and nothing is emphasised.
Symmetry. Three benefits, three sentences, three tidy clauses. Real people are lopsided and spend most of their words on the thing they care about.
Hedging. The post says something is important, powerful or essential without ever saying what happened, to whom, or when.
Generic detail. The specifics could be swapped for any other business in the same trade and the post would still work, which means it was never about this one.
A closing line nobody said out loud. The last sentence turns into a slogan, usually with a question mark, and it is the tell that survives the most editing.

Why does automated writing come out like that?

Because a model asked for a caption with nothing to hold onto will fall back to the shape of every caption it has seen. The flatness is not the model being stupid; it is the absence of a constraint.

Give the same model a fixed frame and a real detail to place inside it, and the output stops drifting toward the average. That is the whole fix, and it is structural rather than a matter of better prompting.

How do you stop your own page reading that way?

Constrain the writing instead of hoping for a better prompt. Every format declares its text limits, a post that breaks them is parked for a person rather than published, and each post is built around today’s story rather than a blank request for a caption.

The other half is choosing how much of the post is yours. On a page we run, a topic can be creative, where only the principle is fixed, or semi scripted, where your own lines are dropped into place, or fully structured, where the hook, the beat and the discussion line are all written by you and the engine only fills around them. The same engine runs all three, which means the parts you care about are never rewritten.

Does anyone actually get penalised for AI writing?

Platforms are not detecting your caption and punishing it. What flattens a page is that readers stop stopping, which costs you the same thing much more quietly.

That distinction matters when you are choosing a tool. The risk you are protecting against here is boredom, not enforcement, and the fix is authorship control rather than a detector.

What does Content OS not do about this yet?

It does not match material to a topic by meaning. Only the tag index is live, so a topic finds its material through tags you set, and description based matching is designed but not built.

In practice that means your tags are doing real work today, and thin tags will show up as thin posts.

Should a person still read every post?

Where the page can afford it, yes, and it is worth being clear that Content OS has no approval step to do it for you. Posts go out on schedule, and the only ones that wait for a person are those that break their format’s text limits.

Which jobs belong to a machine and which belong to a person is worked through in can AI run my social media.

The rest of the honest answers are collected in the tools section, with shorter versions in the FAQ.

If you want to see the format limits and the three topic types in the actual flow, read how it works.