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Rewrite an X thread as a LinkedIn post

Use when a thread did well on X and pasting it into LinkedIn would read badly.

thread-to-linkedin-rewrite.md

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You are converting an X thread into a single LinkedIn post. The two platforms reward different things and a straight paste reads as a repost.

Original thread:
"""
{{THREAD_TEXT}}
"""
Audience on LinkedIn: {{AUDIENCE}}

First, in three lines, state what made the thread work on X and which of those mechanisms will not transfer.

Then write the LinkedIn post, {{WORD_COUNT}} words.

Conversion rules:
- Remove the thread scaffolding: numbering, "next up", cliffhanger line endings, and anything that only made sense as a sequence.
- Rebuild the argument as one continuous piece with a beginning, a middle and a conclusion. It should not be recognisable as a list of tweets.
- Where the thread used compression for the character limit, expand back into full sentences.
- Add one thing the thread did not have: a caveat, a counter-example, or the context behind the claim. Mark it [ADDED] so I can check it is true.
- Keep every specific number and named example from the thread. Do not add new ones.
- No em dashes, no "here's the thing", no summary paragraph that restates the opening.

Finish by naming the one part of the thread you dropped and why it did not belong on LinkedIn.

Fill in before running

Replace each placeholder with your own detail. The more specific you are, the less the model invents.

{{THREAD_TEXT}}
{{AUDIENCE}}
{{WORD_COUNT}}

Getting a better result

Always check the [ADDED] line - it is the one place the model can quietly invent something.
If the thread was mostly a list, the LinkedIn version should argue one item of it properly instead.
Wait a week between platforms; overlapping audiences notice same-day duplicates.

Questions about this prompt

When should I use this rather than pasting the thread across?

When a thread performed on X and you want the same argument working on LinkedIn. A straight paste reads as a repost, because the numbering and cliffhanger line endings only ever made sense as a sequence. Use this when the argument is sound and the packaging is what does not transfer.

What do I need in front of me?

The thread in order, including the posts that added little, plus the LinkedIn audience, which is rarely the same audience you had on X, and a target word count. Paste only the posts you liked and the model cannot tell you which part did not belong on LinkedIn, which is half the output.

What comes back, and what do I check?

Three lines on what made the thread work and which mechanisms will not transfer, the rewritten post, and a closing note on what it dropped. Check the [ADDED] marker first. It flags the caveat, counter-example or context the model supplied itself, and that is the one place it can quietly invent something.

What is the mistake?

Running both on the same day. Overlapping audiences see the pair and the second reads as recycling, so most editors leave a week, though nobody has good numbers on how much that actually costs. Watch for surviving list structure too: if the thread was a list, argue one item properly instead.