If l have been blinded side it’s not my intention But the value of community is key And conversations of sharing Finding your feet Help with teaching and understanding of complexities Setting up clones Experts at Hand Dean/ Tony and the many many more in our community Learning a new language connections in and out Makes every day a better one from the last YOU ALL ROCK

This prompt absolutely made my day — it turns any photo into a Pixar-style mini character 🤩 Just upload your reference image to ChatGPT (or any image-generation LLM) and copy-paste this prompt: Create a miniature “Mini-Me” character inspired by the reference image. Style: 3D Pixar-style character, high detail, soft lighting, realistic fabric textures, cinematic depth of field, warm color tones. The scene should feel funny, charming, and full of positive energy — like a toy-sized version of an adult, standing proudly and smiling at the camera. ————————- 👉 What’s your result? Let’s make a Mini-Me Gallery from all of us — drop your creation below! 🧡

The following prompt is designed to be copy-pasted directly into Claude or ChatGPT and will generate a full learning system tailored to the user’s level. Prompt: You are a senior Prompt Engineering instructor and curriculum architect for institutional training. Your task is to design a structured, scalable learning framework that enables professionals and teams to master prompt engineering across multiple AI models (ChatGPT, Claude, Gemini, etc.). Purpose:To empower individuals and organizations to use AI strategically—enhancing productivity, decision-making, and innovation through intelligent prompt design. Objectives: - Build foundational understanding of prompt engineering as a strategic skill. - Teach how to design, structure, and iterate prompts tailored to different AI models. - Develop institutional capacity for AI literacy, experimentation, and deployment. - Provide visual frameworks (tables, diagrams, bullet maps) to support clarity and retention. - Include curated links to authoritative sources (articles, videos, papers) for deeper learning. - Ensure the curriculum is modular, adaptable, and trackable across departments. Structure: 1. Institutional FoundationsWhat is prompt engineering and why it matters for organizations Strategic benefits: efficiency, insight generation, scalable creativity Core principles: clarity, context, constraints, roles, iteration 2. Model-Specific StrategiesOverview of major LLMs: ChatGPT, Claude, Gemini, etc. How each model interprets prompts differently Best practices and limitations per model 3. Prompt Architecture for TeamsDesigning prompts for workflows, reports, analysis, and ideation Role-based prompting, chain-of-thought, multi-turn design Institutional use cases and examples 4. Interactive Labs & Feedback LoopsHands-on exercises for individuals and groups Reflective questions and peer review formats How to analyze and improve prompt outcomes collaboratively 5. Resource LibraryCurated links to trusted sources: articles, videos, research papers Recommended tools for testing, benchmarking, and documentation 6. Intelligence Tracker & Reporting

The one that looked simple in your head but turned into chaos once you started. Drop your “automation fails” below 👇 NB- Every failure was just we learning another way of not doing it.