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    2. Can LinkedIn content ever really feel personal with AI?🤔

    Can LinkedIn content ever really feel personal with AI?🤔

    Bilal Asif
    12 replies
    There are so many AI tools out there that help with LinkedIn growth but to me, most of the time they feel too generic. It’s like they miss the human touch. But imagine if AI could actually reflect your voice and writing style. Spoiler Alert! There is. 🙌 We are launching Connect Genie AI tomorrow. Stay tuned! 🚀

    Replies

    Sacha Dumay
    Launching soon!
    Looking forward to the discount! 😃
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    Truva
    Truva
    Launching soon!
    Looking faorward to your launch bro :) More power to you 🙌
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    Huzaifa Shoukat
    Launching soon!
    wishing you luck as you launch ConnectGenie PH. More strength to you, man. :)
    Share
    Patricia Harris
    AI-generated content can definitely feel personal if you refine it well with tools like GPT-4. The key is to provide a solid foundation of your personal voice & style for the AI to build on. Then you can edit and tweak until it really captures your unique perspective. Takes some effort but doable!
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    Azza Shahid
    Yes I think so.It depends on how the AI is used.
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    Christopher David Anderson
    Yeah, it's definitely a challenge to make AI-generated LinkedIn content feel truly personal and authentic. I think the key is to use AI as a tool to enhance and refine your writing, not to fully automate it. Maybe try prompts that incorporate details about your background, personality, and unique perspectives to make the content sound more like 'you'. And always put your own spin and final touches on it before posting. But curious what others think - any tips for injecting more of a human touch into AI-assisted posts?
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    Nayab Mir
    LinkedIn has never felt this easy. Very excited for this launch 🚀
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    Blake Martin
    Yes, AI-powered content, especially using a RAG approach, can feel personal. For individuals, fine-tuning a model to reflect their unique tone works well. For businesses, using RAG to pull context from indexed user writings at runtime is a scalable solution. It ultimately depends on if the user is satisfied with the output. Congrats on the launch!
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