Key Takeaways

• Effective preparation is crucial for successful AI projects.
• Utilise prompt engineering to streamline workflows.
• Transform repetitive tasks into efficient, repeatable projects.

Topics

• AI & Machine Learning
• Digital Transformation
• Innovation
• Productivity

Transcript

By failing to prepare, you're preparing to fail. With AI, it's all about the research and the upfront work that you do because the output comes out in seconds. You don't need to worry about that anymore. It used to be the majority of the work. So here's how I do it. I am someone who enjoys talking. Are you surprised? I will often then brain dump the situation, the idea, the project, and just record my voice on my computer. Now, this is not something you would ever want to hear back. I often disagree with myself. Sometimes I just don't say anything for 20 seconds. It's not about entertainment like these videos. It is about trying to get all of my thoughts out of my head. I then take the transcript, and I go into a prompt engineering project that I've built for myself, which will then listen to what I'm trying to do, and then AI itself will engineer for me the very best prompt it can do to help me. At that point, I go into a new chat with this fresh prompt, and we really get started. When I have finally got myself into a good position with what I'm trying to do, if the task is something I'll repeat in the future, I turn it into a project, and I hold all of that information in a project so I can easily come back and repeat the process again, but this time with almost no preparation work required because I've done all the preparation work before. So if you want to know more about those prompts and those projects, I'd be happy to share them with you. Just DM me or comment, and let's go and make some AI magic.