"One of the biggest challenges is making sure you have the correct feedback loop even when people only want to tell you what you want to hear." — Elon Musk https://t.co/VSmF58CBkp ...

Core Product Development Principle - Shipping something to someone always wins, emphasizing rapid iteration and feedback loops over big launches [1][34] - The key is enabling rapid iterative loops to get feedback from real users and maximize shots at the goal [1] - In the age of AI, this translates to building a "skateboard" first, then evolving it to a "car," ensuring a continuously viable product [2][4] - A continuously viable solution is significantly more valuable because it provides feedback along the way, avoiding building in a vacuum [5][6] Feedback Loop Implementation - Establish a feedback loop with real users who can see something, provide feedback, and allow for iterative improvements, ideally within a day [7] - Being able to ship every day is crucial for a fast feedback loop, requiring specific focus on the target customers [9] - Work with real people (not just personas) to understand their problems and build empathy [10][11] - Write the PI (Product Information) FAQ or launch blog post early to sanity check and communicate the product effectively [12] Navigating Constraints and AI Integration - Design the best product first, before considering constraints like legal, compliance, and financial aspects [15] - AI accelerates all aspects of product building, but the fundamental process of talking to users and getting feedback remains the same [26] - Product management becomes more critical as the cost of writing code approaches zero, emphasizing customer knowledge and rapid feedback [28][29]