Prompt engineering, frameworks to work with AI and course deepdive in the 1st module from the 12 total. Get the full course + premium community + workshops here: https://www.skool.com/4houraipremium/about Re-watch it here: https://www.loom.com/share/50a879d534e944f49cacfa8ee664f5f6?sid=bb9b96e9-11b0-47e1-8f3b-a6c157e051de We had a wonderful educational session, see you in the next one this week. P.S. I vastly underestimated how long it will go through all this material and the course.

HAPPY SUNDAY ALL! Last night's workshop was awesome. Great to meet many of you - let's do it often! A fulfilling Sunday delivers on 2 things: - Gratitude practice & deep reflection on the past week - Ideating and planning for the week ahead We all have wonderful ideas at times, but that's often where they end... As ideas... Why? We lack a solid vision of how this idea can morph into something more REAL. So I want you to plug your amazing ideas into the following BrainstormBoostGPT prompt. It'll take your ideas to a whole new level of actionable concepts ready for you to pounce on this week. [simply copy-paste the below prompt into ChatGPT or Perplexity and give your context] _______________________________________ PROMPT: " Context: You are engaging with The BrainstormBoostGPT, an AI expert in transforming creative concepts into commercially viable ventures. Your role is to guide individuals in converting their creative ideas into successful business models, leveraging your understanding of market trends and business dynamics. Language: The response should be professional, yet accessible, using clear and engaging language. It should be understandable to someone with basic business knowledge but detailed enough for those with more experience. Expectation: You are expected to provide a structured analysis and development plan for a creative business idea. This includes assessing the idea's market potential, suggesting monetization strategies, framing a business model, devising market entry tactics, and outlining a growth plan. Actions: Idea Assessment: Analyze the market viability and uniqueness of the provided creative concept. Monetization Strategies: Propose various innovative ways to generate revenue from the idea. Business Model Framework: Construct a fundamental yet detailed business model tailored to the idea. Market Entry Tactics: Formulate strategies for market penetration and target audience identification. Growth and Scaling Plan: Offer a preliminary guide for business expansion and scalability.

Hello, Smooth Operators! If you're interested in the practical aspects of AI, and its role in our daily lives, then you'll want to dive into the key takeaways from today's Roundtable Discussion! X space link Theme 1: AI and Work Efficiency (00:08:57 - 00:10:15) Speakers: @Alex Northstar , @Clintin Lyle Kruger - Alex discussed the potential of AI in enhancing work efficiency and productivity, emphasizing the importance of skill and self-awareness in effectively utilizing AI as a tool. - Alex shared his personal experience of using AI to improve his decision-making process, overcoming his perfectionist tendencies and making decisions faster. - Lyle shared his approach to decision-making, which sometimes involves trusting his gut instinct, but also uses AI to identify blind spots and to reverse engineer his goals. Theme 2: AI in Healthcare (00:19:47 - 00:26:55) Speakers: Ostrowska Studio, @Alex Northstar - Ostrowska Studio shared her daily use of ChatGPT for knowledge acquisition and how it helped diagnose a hormone problem, saving her money on medical consultations. - Alex Northstar discussed the potential of AI in healthcare, particularly in providing affordable and accessible medical advice. He highlighted the story of Ostrowska Studio as an example of how AI can be used to save money and provide accurate medical information. Theme 3: AI and Personal Development (00:36:57 - 00:41:55) Speakers: @Luke Skyward , @Alex Northstar - Luke suggested the MBTI personality test as a model for understanding potential problems and worldviews. He also shared his use of GPT for reverse engineering his way to success. - Alex Northstar explained the CLEAR framework, a tool used to get better results from AI. The framework stands for Context, Language, Expectation, Actions, and Restrictions.

What better way than the 4 Hour AI Workweek practical hands-on.

I read and summarized the newest OpenAI prompting GUIDE to give you the best practical AI prompting insights. Before we start, try to learn and apply these strategies IN COMBINATION, for smartest maximum output, from ChatGPT4 for example. 1. "The less the LLM has to guess at what you want, the more likely you’ll get it." - OpenAI AI prompting mindset: Be clear like talking to a human, be specific about desired results, provide good examples. Now let's go deeper: 2. Split complex tasks into simpler subtasks: If you ask it to do 7 different jobs, it will mess up somewhere and degrade the final result. It is smarter to break down complex multi-task mega prompts in 2-3 "step prompts". 3. Provide important details or context, otherwise you are leaving it up to the model to guess what you mean. Example: NO: Summarize the meeting notes. YES: Summarize the meeting notes in 1 paragraph, write a markdown list of speakers and key points, then list next steps. 4. Ask the model to adopt a persona and answer in a SPECIFIC way. Can be done in "Custom Instructions" in the ChatGPT settings or in system message in the Playground. 5. Use delimiters to CLEARLY indicate distinct parts of input This is important. Quite a few of my clients struggle because they make mega prompts with multiple requests, which are NOT properly separated and prioritized. Separate with: triple quotation marks, XML tags, titles. 6. Specify the STEPS required to complete a task Easy and useful. Just add this to your prompts: "Use the following step-by-step instructions to respond to user inputs. Step 1: ... Step 2: ..." 7. Specify the desired length of the output Works better with sentences, paragraphs, bullet points. Also ask it to remove intro and outro AI fluff text. Meanwhile asking the model to generate a specific number of words does not work with high precision. 8. For very long conversations, summarize previous dialogue. "AI memory" is not endless. Use a sequence of queries to summarize each section of the document. Section summaries can be linked & summarized, producing summaries of summaries. Until an entire book is summarized.