I’m Dani, entrepreneur and board advisor based in Amsterdam. I help companies navigate growth and operational excellence. *My AI Journey: I’m a dabbler looking to become a power user. *My AI Goal: I want to figure out how to build a high-level 'Digital Partner' that can act as a sounding board for product strategy and project management. I'm also very interested in automating the 'admin noise' (emails/scheduling) to reclaim my time. *Why I’m Here: To learn from experts and to find the best tools and workflows to manage a diverse portfolio of businesses and projects. *Fun Fact: I’m a big fan of the intersection of specialty coffee and high-fidelity sound.

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.

Hi everyone, I'm a Screenwriter, but I also direct and produce a lot of films that I write. I filmed 2 Christmas Rom-Com Short films yesterday, but we discovered that one of our wireless mics caused some hissing/static sound on our main actress. I'm on a tight deadline to get these films out before Christmas. Does anyone have suggestions for an AI system I can use to extract the static sound? Thank you and Happy Holidays!!!

Hi everyone! I’m Lori, from beautiful Victoria, BC Canada 🇨🇦 I’m a social impact strategist, entrepreneur and life & business coach who loves learning and all things tech. My relationship with AI right now is best described as curious and committed. I’ve been dabbling with ChatGPT and other AI apps, and have taken part in a few workshops and other training to learn best practices and about some of the things to be aware of (as a board member, employer, consultant etc.) I’m also having a lot of “wait… it can do THAT too?!” moments. 🤣 I’m interested in learning how AI can help me to maximize my impact, productivity, and income. One area I’d love AI to help me with is creating and streaming engaging content for things like workshops, my website and social posts — while still keeping everything aligned with my voice (warm, authentic, and approachable). I’m thrilled to join this community and to connect with others who are experimenting, building, and sharing what works (and what doesn’t). I am excited to learn practical, real-world ways to use AI more effectively. Fun Fact: My hubby is a relative of Jesse James… so I guess that makes my in-laws outlaws? 🤣 Looking forward to meeting you all! What’s one thing you’ve found AI genuinely helpful for so far?