Turn a newsletter into posts for three networks
Takes one long email and produces a LinkedIn post, an X thread and a short video script. Each is written for how its platform is read, so you do not get three copies of one paragraph.
Tested on GPT-5 ·
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Pull out the claims, not the prose
Extraction first. If you skip this the model paraphrases your sentences instead of using your ideas.
Step 1 Read this newsletter and list every distinct claim it makes, as bullet points. A claim is something that could be argued with. Skip transitions, greetings and calls to action. {{newsletter}} -
Pick the one claim worth leading with
Each platform wants a different one, so ask which claims are strongest rather than deciding for it.
Step 2 Here are the claims from an article. Rank them by how likely each is to make a professional reader stop scrolling, and say in one line why the top one works. {{claims}} -
Write for LinkedIn
Explicit constraints beat the word professional, which produces the exact voice everyone is tired of.
Step 3 Write a LinkedIn post built on this claim. Rules: open with the claim, not with context. Under 150 words. No hashtags. No question at the end. One concrete number or example. Plain sentences. Claim: {{claim}} Supporting detail: {{claims}} -
Write the X thread
Ask for the thread as numbered posts with the character count, otherwise you get a blog post split with line breaks.
Step 4 Turn this into an X thread of 5 to 7 posts. Each post must stand alone if quoted. First post states the claim, last post has no call to action. Give me each post numbered, with its character count, under 280 each. Claim: {{claim}} Material: {{claims}} -
Write the video script
Say the length in seconds spoken aloud, not in words. The model converts it more accurately than you expect.
Step 5 Write a 45-second spoken script for a short video on this claim. Conversational, first person, no on-screen text directions, no sign-off. The first sentence has to work with the sound off in captions. Claim: {{claim}} Material: {{claims}}
The trap is asking for social posts in one go. You get three lightly reworded versions of the same text, and all of them sound like a newsletter. Split the extraction from the writing and the problem goes away.
Notes from the author
Keep the claims list. It stays useful for months and costs the model ten seconds. On smaller models run step one per section of the newsletter, or it starts summarising and stops extracting.
For information only, not professional advice. You use it at your own risk and we are not liable for any loss or damage. See the disclaimer.
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