My name is Antonella, I’m 27 years old, I live in Barcelona, and I work as a flight attendant. Something has changed in me this past year because I didn’t feel fulfilled with the job I had. I’m sure I can do much more, but I haven’t had the opportunities. I haven’t done anything else before, and I’m really excited to learn how I can get into the tech world, especially the world of AI. I’m a native Spanish speaker, and I’m studying English and French. Could you share your experiences with me? I would be happy to study something that doesn’t take 4 years to complete so I can start working. I’d love to know your tools for progressing, and I welcome any opinions or advice from your experiences.

Hi everyone! I’m currently in the middle of a massive ecosystem shift: I’ve decided to move from my personal ChatGPT account to Google Workspace Gemini (with a business account). I exported my GPT history—a 60MB file of every conversation I’ve had over the last few years—and realized I didn't want to just move the "noise." I wanted to distill it. --> The Vision: From Data Dump to 10 Focused Workbooks in Notebook LM that keep track of the conversations as they were nested under projects in chatGPT. For reference the nature of the 10 projects is: 1. New Ventures: The startups and side-hustles I'm building 2. Personal strategies: e.g. investing 3. Thematic Knowledge: Deep-dive research bases --> The Underlying logic: moving that "clean" history inside 10 dedicated notebooks in NotebookLM, Instead of one giant chat history, would allow me to: - Generate instant mind maps and project refreshers. - Ask questions across only the context of that specific project. - Feed that curated knowledge into Google Gems to create specialized experts on those matters. Has anyone else gone through the process of "de-noising" their GPT history before a migration? I read that one possible approach would be to write and run a script on the .json file, but that goes beyond my technical capabilities, especially because I wouldn't know how to identify the right meta data that nest conversations under one project. Another option would be to download as PDF each conversation nested under the project. Half a day worth of work, so a possible last resort... but quite a defeating one on my path of trying to get smarter and more effective with AI 😅 I’d love to hear how you handled the data sorting and/or if you might have a smarter approach to offer.

I just want to take a moment to say this... I’m genuinely proud of you. Not because this is easy. Not because you have it all figured out. But because you’re leaning into the work anyway. Adapting is uncomfortable. Learning new tools stretches you. Changing how you think, move, and operate takes effort. And most people avoid that. Most people wait until it feels simple. Until it feels familiar. Until someone else proves it first. You didn’t. You are committed to the tools. You are staying in the room. You choose to get better instead of staying comfortable. That tells me everything I need to know. When things change and you don’t opt out… When you feel resistance and lean in anyway… That’s what separates the few from the many. This is how real growth happens. Not overnight. Not perfectly. But consistently. Keep going. You’re exactly where you should be.

DOES ANYONE USE COPILOT