A recent experimental class at the University of Pennsylvania revealed how AI tools can significantly accelerate startup development. Students in an executive MBA program, many without coding experience, used AI platforms like Claude Code, Google Antigravity, ChatGPT, Claude, and Gemini to move from idea generation to working prototypes in just four days. The results were striking; the prototypes were more advanced than what previous students achieved over an entire semester without AI. Many of the projects not only showcased innovative ideas but also provided insightful market analyses. This rapid progress demonstrated how AI can streamline traditional startup processes, allowing for quick iterations and pivots without the usual costs associated with startup development. The article presents a framework for deciding when to delegate tasks to AI based on three key factors: Human Baseline Time (how long the task takes a person), Probability of Success (how likely the AI is to produce a satisfactory output), and AI Process Time (the time spent requesting and evaluating AI responses). If a task takes a person hours, but the AI can do it in minutes, with a high probability of success, it may be more efficient to delegate. For instance, a seven-hour task evaluated with a 72% success rate from the latest AI model, GPT-5.2, could save about three hours in total time when factoring in the evaluation process. To enhance the efficiency of AI delegation, the author suggests improving instruction clarity, evaluation skills, and feedback mechanisms. Subject matter expertise plays a vital role in this. Experts can provide better guidance to the AI, recognize potential issues quickly, and offer constructive feedback to refine outputs. The author illustrates the potential of AI through an example where Claude Code was able to create a fully functional 1980s-style adventure game with minimal input. However, the challenge remains in communicating specific intentions to the AI, which requires a structured approach similar to traditional documentation used across various fields, from software development to military operations.