A short preview of the AI Workshop at 11:00am GMT tomorrow. I'll have a recording on GenAI Skills Academy if you can't make it live. Here's what I'll be covering... This Friday in the FREE AI Workshop, I'll walk you through creating a custom GPT for your business. You'll receive the following supporting documents to help you implement; 📄 Client_Setup_Guide 📄 Custom_GPT_Checklist 📄 Role_Specific_Prompts **Custom GPT Use Cases** ⚙️ An hashtag#AI Resource for Engineering Product Manuals 👠 An FAQ for Retail Customers 🏗️ Construction Site SOP Guidelines 🏢 Learning & Development Resources 🗄️ Product Development Database 💼 Human Resources Policies & Procedures **Full Disclosure:** I don't want you to use ChatGPT...I want you to use something better...I'll show you that tomorrow 🤫

Welcome, and thanks for joining... we are a small but enthusiastic about learning nonetheless. DO THIS TO GET STARTED in the Community ✅ Introduce yourself and tell us about your work/business ✅ Read the About Page to see what GenAI Skills is all about ✅ Visit the Classroom to see what course are launching soon ✅ Book yourself in for one of the FREE workshops Chat soon, Slán for now Larry

Hi all... The next Free AI workshop will take place on Friday 12th Dec at 11:00 GMT here on Skool. Add it to your calendar 👉 https://www.skool.com/genai-skills-academy-1964/calendar?eid=b1fed4e332f54c2482259d4cf6e7c857 In the workshop, I'll walk you through creating a custom GPT for your business. You'll receive the following supporting documents to help you implement; 📄 Client_Setup_Guide 📄 Custom_GPT_Checklist 📄 Role_Specific_Prompts **Custom GPT Use Cases** ⚙️ An AI Resource for Service Engineers 👠 An FAQ for Retail Customers 🏗️ Construction Site SOP Guidelines 🏢 Learning & Development Resources 🗄️ Product Development Database 💼 Human Resources Policies & Procedures Hop you can make it 👌

Your AI tool uses tokens to convert words into numbers, and every conversation you have with your AI has token limits. That why ChatGPT stops mid flight and tells you to come back later. It's why Claude, right in the middle of a Project chat, will shit itself! Damn it! not again...😠 Tokens are the units that AI models like Claude use to process text. Think of them like "words" (though not exactly): - "Hello" = 1 token - "Hello, world!" = 4 tokens - "Netherlands" = might be 3 tokens - Code, file contents, and conversations all consume tokens Why Token Efficiency Matters 1. Conversation Length: Each conversation has a token budget (like 200,000 tokens). When you run out, the conversation ends or loses context. 1. Performance: Fewer tokens = faster responses and lower costs 3. Context Preservation: Efficient token use means you can accomplish more complex tasks in a single conversation without hitting limits 4. Real Impact: - Reading 10 unnecessary files might use 20,000 tokens - Using an efficient search agent might use only 5,000 tokens - That's 15,000 tokens saved for actual work! I've prepared you this Token Efficiency Guide in markdown to help you develop a more efficient way of using Generative AI - it's FREE (open with textedit or any other text editing app). Edit according to your own needs and import to your projects.

I've a new essay this morning in The Future of Work. Here's what it covers; 🚨 Widespread work dissatisfaction — Most people are disengaged from their jobs, working as a means to an end rather than finding meaning in it. Gallup data shows engagement falling to 21% globally. 🚨 Extrinsic factors destroy motivation — Even when people love their actual work, toxicworkplace dynamics (passive aggression, poor leadership, micro-aggressions) erode their wellbeing. 🚨 Technology pervasive influence — Tech now shapes cognition, identity, and daily life. Younger generations are technologically native yet risk cognitive deficiency; older generations struggle to adapt. 🚨Corporate interests drive AI development — The AIrace is about market dominance, not social benefit. Governments are losing regulatory power (e.g., EU watering down the AIAct). The "deploy first, fix later" approach carries unprecedented risk because even AI creators don't fully understand how these systems learn. 🚨Graeber's bullshitjobs thesis — Many jobs exist for moral and political reasons rather than genuine productivity. The system keeps people too busy to question their exploitation. 🚨AI as both threat and opportunity — Workers can either be displaced by AI or use it to escape meaningless work and take control of their own labour. The latter requires proactive learning. 🚨 Unpredictable exponential change — Unlike past technological shifts (e.g., aluminium kegs replacing coopers), AI's effects will be broad and systemic, not confined to single trades. 🚨 The meaning crisis — Work has shifted from vocational to transactional. People derive identity and worth from jobs, yet organisations treat them as expendable. Without meaningful work, the question becomes: what do people do? Chomsky said, satisfaction comes from doing useful, community-connected work. Modern workplaces have stripped this intrinsic value, prioritising profit over purpose. 🧠 Subscribe to The Future of Work on LinkedIn https://lnkd.in/erFzkZ9u