When we have a business, a business project, etc., we often have doubts about what to do next.

    I see two possible scenarios.

    Scenario 1: Either we know exactly what we want to achieve, but we don't know how. For example, “Find a co-founder” or “Find an investor”.

    Scenario 2: We have a business in progress but we don't know what to do next.

    Would it be useful to use current AI models like chatGPT or Gemini and provide details and ask it to give us logical tasks to achieve goals?

    Would this make sense or would it be risky to be carrying out tasks told to us by an AI?

    If AI gave you tasks to achieve your goals would you do those tasks?
    byu/Sarvaturi inEntrepreneur



    Posted by Sarvaturi

    5 Comments

    1. ProcedureRound1868 on

      As much as the information provided by the AI can be relevant remember the disclaimer in every AI especially chat GPT or Gemini is that they say not all information can be accurate yes you can follow it it might help it might even be accurate but the thing that AI can’t take over is the reasoning of a human being. It might be a good idea to follow the idas but what are the recommend is asking the AI to provide a layout after giving it all the information just like a conversation give it a prompt and tell it to talk to you and ask you the 11th questions that it would need in order to give the most accurate feedback or layout with that the feedback on the plan that you will receive will be more accurate rather just asking it a shadow question or a broad question

    2. Professional_Hair550 on

      You ask questions to AI and come to a conclusion. You don’t let AI to tell you what to do. That is pretty d*mb.

    3. AI can offer logical steps and fresh perspectives you might not have considered. However it’s important to remember that AI isn’t perfect, it can make mistakes. So, while it can be helpful, it’s always wise to use your own judgment and maybe consult with experienced mentors. If the commands are precise and well-considered, it can definitely lead to valuable insights.

    4. No. They’re almost always wrong, too general (therefore wrong), or I’ve done them already.

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