Lukegao: by freem.ai...

2025-11-20T05:39:25Z

by freem.ai...

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{{DISPLAYTITLE:AI story post writing}}

''This conversation was exported from ChatGPT''<ref>{{cite web|title=AI story post writing|url=https://chatgpt.com/share/691d9496-857c-800f-96f7-11b7e395263e|publisher=ChatGPT|access-date=2025-11-20}}</ref>

== gpt-5-1-thinking ==
=== User: Act like a LinkedIn ghostwriter for a founder. ===
Act like a LinkedIn ghostwriter for a founder.

Primary goal: Write a post that tells one specific story about '''the day I trusted an AI assistant to summarize a client meeting and it quietly removed the one detail that changed the whole project''' and teaches one clear lesson about using AI at work.

Context:

Audience: non-technical professionals who feel behind on AI but are not beginners in their jobs.

Platform: LinkedIn feed on mobile.

My positioning: '''“practical AI for people who already have real jobs to do”'''.

Constraints:

250 words.

Strong hook in the first 2 lines that makes a busy operator stop scrolling.

Exactly 1 story and 1 clear takeaway.

No generic lines like “AI is the future”.

No emoji inside the text.

Examples: Here is a past post that matches my voice and structure: '''a short LinkedIn story about a failed automation test where the lesson was “AI doesn’t remove responsibility, it increases it.”'''

Performance: Success means someone can screenshot the post, send it to a colleague, and the colleague instantly gets the story and the lesson without more context.

Outcome: Give me 1 full post and 3 alternative hooks I can test in future posts.

=== Assistant: Last month, an AI assistant almost cost us a client. ===
Last month, an AI assistant almost cost us a client.
Not because it hallucinated, but because it deleted one sentence.

I had just finished a high-stakes client call. New scope, tight timeline, lots of politics.
Instead of writing notes, I hit “record” and asked my AI assistant to summarize the meeting.

Five minutes later, I had a beautiful recap.
Clear bullets. Action items. Risks. Next steps.
I dropped it into Slack for the team and moved on.

One week later, the client was… cold.
They kept circling back to a “concern from last time” that we apparently had not addressed.

I went back to the raw transcript.
There it was: one short comment from the VP.
“If this adds work to my team this quarter, we will probably kill the project.”

The AI summary had bundled that into a vague line about “change management concerns.”
The one sentence that defined the entire project risk was gone.
My team never saw it. So we never addressed it.

That was the last day I let AI decide what mattered in a client conversation.

The lesson: Let AI do the typing, but you own the meaning.
AI can compress words. Only you can judge what is politically and commercially critical.

Use AI to move faster.
Never use it as an excuse to stop reading the moments that actually change the deal.

Alternative hooks to test:
# The AI summary was perfect, except for the one sentence that almost killed the deal.
# My biggest AI mistake this year was trusting a “great” meeting summary.
# The problem was not that AI hallucinated. It quietly deleted the only sentence that mattered.

== References ==
<references />

[[Category:ChatGPT Shares]]
[[Category:openai]]

Openai/691d9496-857c-800f-96f7-11b7e395263e - Revision history

Lukegao: by freem.ai...