Turn a long article into social media posts
A repurposing workflow for converting long-form content into social posts while preserving the original argument, avoiding clickbait, and adapting to each channel.
Who it is for
- Content marketers repurposing articles.
- Founders sharing thought leadership.
- Editors building distribution from existing work.
Who should skip it
- Users with no permission to reuse the article.
- Teams seeking engagement through misleading claims.
- Sensitive topics needing expert review.
Workflow
Step 1
Extract the article's real argument
Ask AI to identify the central claim, supporting points, examples, and caveats before creating posts.
Example input
Extract the central claim, five support points, and caveats from this article.
Expected output
An argument map.
Common failure
Posts focus on catchy fragments but miss the argument.
Human check
Compare every post idea to the central claim.
Step 2
Choose channel-specific jobs
Define whether each post should teach, provoke, summarize, invite discussion, or drive clicks. Different channels need different jobs.
Example input
Create LinkedIn, X, and newsletter teaser versions with different jobs.
Expected output
A channel plan.
Common failure
Every post sounds like the same summary.
Human check
Check whether each post format fits the channel.
Step 3
Draft multiple angles
Generate several post angles from the same article, then choose the ones that preserve truth and audience value.
Example input
Give five post angles, each with hook, point, and source paragraph.
Expected output
A list of candidate posts.
Common failure
AI turns nuance into exaggerated claims.
Human check
Reject hooks that overpromise beyond the article.
Step 4
Edit for platform and voice
Ask for edits that respect character limits, voice, formatting, and reader context without changing the claim.
Example input
Rewrite for LinkedIn in a practical, non-hype voice under 900 characters.
Expected output
Platform-specific drafts.
Common failure
The message becomes generic personal-brand language.
Human check
Read the post without the article and ask if the point is still clear.
Step 5
Add review and attribution
Before publishing, verify quotes, numbers, and claims, then add attribution or links where appropriate.
Example input
List what must be checked before publishing these posts.
Expected output
A publish checklist.
Common failure
The post spreads a simplified claim without context.
Human check
Check whether the post can stand ethically on its own.
Human review checklist
- Check whether the AI output directly solves the original social repurposing instead of drifting into a generic answer.
- Verify all factual claims, dates, names, numbers, links, and quoted material against the original source or a trusted reference.
- Remove unsupported claims, filler language, repetitive transitions, and confident statements that do not have evidence.
- Compare the output with the intended reader, channel, and format before using it in public or sending it to another person.
- Keep a short note of the prompt, tool, input material, manual edits, and final decision so the workflow can be repeated.
Mistakes to avoid
- Starting the social repurposing workflow with a vague prompt and no acceptance criteria.
- Asking the model for a final answer before giving it source material, constraints, examples, or review rules.
- Treating a fluent answer as correct without checking source coverage, missing assumptions, and edge cases.
- Using the same prompt for research, writing, review, and final editing even though those are different jobs.
- Skipping the human review step because the first output looks polished.
Related AI skills
Build a presentation outline with AI
A workflow for using AI to turn notes into a presentation structure with audience logic, slide purpose, speaker intent, and review criteria before any design work begins.
Choose the right AI tool for a task
A decision workflow for choosing an AI tool by task, input type, risk, review needs, deployment requirements, and failure cost instead of popularity or marketing claims.
Compare AI answers with source verification
A research workflow for comparing two or more AI answers without rewarding confidence, fluency, or longer output. The workflow uses source mapping, claim extraction, and contradiction checks.