I write the posts. AI just edits them.
I'm rather wary of AI-generated text myself - I don't want someone or something writing for me. So I write the posts. But AI helps me with what I'm not so good at: language tweaks, readability, grammar. On top of that a bunch of agents watch current topics in AI for me. The whole thing runs automatically - I just drop in the text with its publication date.
the pipeline starts itself from the dropped-in text - I don't have to run anything.
agents for me: research of current topics, grammar, text flow and a final editor.
post goes through an editor's review before it goes out.
style stays - AI edits the text, it doesn't write it for me.
How it works
The challenge
I'm not much of a writer and I'm rather wary of AI-generated text - I don't want someone or something writing for me. At the same time I do want my LinkedIn posts to be readable, free of grammatical errors and on a topic that's resonating in AI right now. Keeping an eye on all of that by hand takes time and energy I'd rather spend on the writing and the work itself.
The solution
I built myself a pipeline of four agents. One does research of current topics in AI, the rest handle editing the text I write - grammar, text flow and the final edit. It's not about generating content: a person writes, AI just edits the text. And it runs automatically - I drop the text into a specific folder with its expected publication date and the pipeline starts itself.
What I get out of it
The main thing is time saved - the manual proofreading and hunting for what's current both fall away. For someone who isn't a gifted writer there's mental relief in it too: the certainty that every published post has been through an experienced editor's review is priceless peace of mind. And because AI only edits the text, my style stays.
I write the posts. AI makes sure they're readable and pass an editor - that's priceless peace of mind.- Petr Kadlec, author of the solution
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