1. problem definition Collective learning platform between and among scholars and entrepreneurs 2. problem to solve: In operations for entrepreneurship, two desires that can be need-solution pairs are not matched. First is scholar’s desire to teach and experiment their theories. Second is entrepreneurs’ need for consulting to craft strategy and tactics and execution plans throughout their journey from nailing to scaling to sailing.To be specific, scholars wish to have easy-to-use place to get feedback on their theories where they post both informal thoughts/brainstorms as well as more polished essays, plus links to research. Entrepreneurs however, are in constant need of research and data/accumulated wisdom that can help them address many challenges. However that information is very scattered and does not come in the form of advice customized to the challenges faced by particular individuals/teams. 3. how AI can help? - by aggregating an appropriate market/readership and continually searches the web for relevant links to each post (AI as student and simulation from Mollick & Mollick) - create bot that digests an individual entrepreneur’s challenges and walks him/her along with solid advice at each step of the way (AI as mentor and tutor from Mollick & Mollick) 4. means of delivering vision - simulated interaction: [https://chat.openai.com/share/80399298-29cd-4f71-b822-f7270e59aa87](https://chat.openai.com/share/80399298-29cd-4f71-b822-f7270e59aa87) 5. todo/wish feedback - what modality (text, code, image, audio, 3d, video) would be effective for the above? - classify datasets into four types: pooling the compass - does case studies have format? - what should be the reward function? (finding similar cases (scale, sector) and simulate though their experiences; flight simulator) - do you have access to https://www.gsb.stanford.edu/faculty-research/case-studies? trying to learn structures of the document e.g. https://www.gsb.stanford.edu/faculty-research/case-studies/copycats-clones-fast-followers-note-replicating-business-models - 100 cases (harvard), icch, 20-25yrs ago, 800 cases (entrep) stanford ``` ### 1. Introduction A brief description of the case study’s contents (bullet point key metrics and successes). ### 2. Company overview A brief description of the featured company — what they do, who their customers are, what they sell, etc. Include brief background/context as to how they use your product, service or process. ### 3. Problem / Challenge Describe the business problem or opportunity that your customer was facing before they started using your product or service. Include strong quotes and fully illustrate why the issue was a problem that needed to be solved. ### 4. Solution Explain how the customer used your product to solve their problem. Share their decision-making process, how they arrived at your solution, what convinced them to purchase, and how they implemented that solution internally. Share benefits and features that stood out to them. Reinforce these details with quotes from your interview. ### 5. Results Summarize the outcome from the customer’s implementation of your product, service, or process. Recap their wins, as well as the major improvements that they have seen over both the short and long term. Add data and metrics, where relevant. Include quotes about how the current solution empowers the company and solves their problems. ### 6. About us Share a brief explanation of your company and the products or services you provide. ### 7. Call-to-action (CTA) which state: nail, scale, sail which sector: manufacturing, space, agri-biotech, ai, (follow engine's) chosen strategy, technology, customer, competitior, organization value creation and capture hypothesisvvv ```