Tony says ‘Proximity is power.’ Let’s find out who’s in proximity... Tell us all where you’re from… without actually telling us where you’re from 🤣

I need to read far more than average in my professional work. That led me to create personalised “effective reading” manuals using AI. What I’ve realised is that reading itself is a very essential skill worth optimising when using AI replies. There are two sides to the equation: 1. What AI generates - which depends on how well we use it (prompts, context, techniques learned in bootcamp, etc.) 2. How well we read and process - how fast we absorb, understand, and consequently how fast we turn ideas into action. If you overlooked the second part, and you think you'd benefit from reading AI faster, you can also improve it using AI - especially now that we have personal clones. You'd be surprised (or maybe not that much) at the variety of suggestions to make reading a better experience altogether. A simple approach that you could try: (1) Give the AI some further context and ask it to interview you, one question at a time, about your reading habits (e.g. screen vs book, technical vs leisure reading, AI outputs, language level, environment, focus - leave it up to AI). (2) Then ask it: “Create a personalised list of 10 AI prompts to improve my reading effectiveness and reading speed.” (3) You’ll notice the prompts naturally fall into Before Reading, During Reading, and After Reading. (4) Open a new chat and run each prompt one by one. Answer any clarifying questions it asks so the output becomes even more personalised. (5) Have it compile three short manuals (like I did): before, during, and after reading. I printed the manuals on a PDF and I'm implementing them one by one (slowly but surely, not necessarily all at one go).

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.

As a business owner and agency owner who educates people in my local community about AI (through the library and small businesses), I wanted to share a few ways that I have discovered that people can implement AI without feeling overwhelmed. The suggestions that I am giving below aren't to say you have to incorporate them all, but just pick one or two and as you get comfortable, incorporate a few more that make sense for your business... - You can use ChatGPT as your partner to run ideas by- analyze your strategy, challenge your approach, assist you in identifying your target audience if you are just getting started. Use the "voice" mode and ask it to ask you challenging questions to get to the core issue you are having based on the topic and it will transcribe the conversation on the back end so you will always have it. - You could create an app through vibe coding that holds your SOPs or Training information (nothing confidential or proprietary) so new people joining your team can learn from that tool vs. you or a team member having to take the time to train them (instead, you can question what they learned afterwards or have AI create a flash-card or memory based quiz, crossword, etc. to test their knowledge in fun/creative ways) - You can include a web chatbot on the home page of your website to answer questions about your business and even schedule appointments - You can reinvigorate your email list by having ChatGPT come up with creative email campaigns per quarter that are 75% educational (about your industry or business) and 25% Calls to Action for Sales so they don't feel like you are consistently selling. Ask AI what perks you can offer your customers (like birthday discounts for their birthday month or referral rewards). If you use a platform like GHL, you can set everything up with automations on a quarterly basis as well. - You could get a voice concierge agent that works 24/7 and never misses a call if you are a business that could benefit from that. They sound human, and their knowledge-base knows everything about your company and website and it can answer most questions and book appointments if connected correctly to your calendar. - You could use AI to create presentations for you. I am speaking at an AI Summit next year, and I put the information I wanted to talk about in Claude, then asked it to fill in any gaps about AI I might have overlooked or missed that would be important to cover for that audience and asked it to put it into more of a "TedTalk" type format...then once I liked the result, I took it to the presentation creation app (Gamma) and in about 50 seconds, I had the full presentation with images and graphs completed. Game Changer!