Openai/69610406-bd3c-8013-bbce-432ba32c56f6

Revision as of 06:10, 10 January 2026 by Lukegao (talk | contribs) (by freem.ai...)
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This conversation was exported from ChatGPT[1]

gpt-5-2-thinking edit

User: If you wonder: I type all my Linkedin updates myself. edit

If you wonder: I type all my Linkedin updates myself. Blank file, typing in Word processor. Focus on things I feel are worth sharing at that moment.

I am fully aware of tools and approaches that automate posts delivery across platforms.

However, since social media posts are my “hobby” and not my “main job or source of revenue/clients” I can afford to do this the old fashioned way.

Only the final step (“language/style checking”) is then done with LLMs, either GPT “Social Media Humanizer” or Gem with the same name. The core setting in that GPT: “Your only goal is to rewrite user inputs into LinkedIn posts that deliver immediate, clear value to the reader….The human user should put at least 60% of his/her work in the final outcome”. I do realize though that the use of LLM for “style checking” does lead to “homogenization of writing overall” and that “something is lost in the process” but consider my approach as the best to have both clear writing and with each post having value that is above the generic ChatGPTibberish.

Assistant: The Edit edit

The Edit edit

I still write my LinkedIn posts the boring way.

Blank document. Word processor. Typing from scratch. I write what feels worth sharing that day.

Yes, I know there are tools that can automate posting across platforms.

I just don’t care enough to use them.

Social posts are my hobby, not my job and not my client pipeline. So I can afford the “old-fashioned” workflow.

The only thing I outsource is the last mile: language + style check.

That’s where I use LLMs (either GPT “Social Media Humanizer” or a Gemini version with the same idea). The core rule in that GPT is simple:

  • It rewrites for clarity and usefulness
  • I still need to do at least 60% of the work

I’m not blind to the downside: once you run text through an LLM, writing can start to sound the same. Something gets smoothed out.

But for me this is the best trade-off:

  • my thinking stays mine
  • the writing gets cleaner
  • the post stays above generic “AI wallpaper”

Curious where you draw the line: Do you use AI for drafting, editing, or not at all?

  1. writing #GenAI

The Value Check edit

This version gives readers a concrete, repeatable workflow (“manual draft → LLM polish”) plus the real trade-off (clarity vs. voice), without pretending there’s one “correct” approach.

User: Ok, I need a picture. edit

Ok, I need a picture. Take this one, and update it to be suitable for publication

User: Change the photo so that it will match the text of this Linkedin post edit

Change the photo so that it will match the text of this Linkedin post

Assistant: edit

User: OK, all fine, just please change the environment to winter edit

OK, all fine, just please change the environment to winter

Assistant: edit

References edit

  1. "ChatGPT - Social media post humanizer". ChatGPT. Retrieved 2026-01-10.