Contrary to the narrative that AI will kill search, Google sees AI as an expansionary force. Features like AI overviews and Google Lens are driving a 70% YoY increase in visual searches, fulfilling new types of user curiosity and increasing the total volume of questions asked.
Instagram's team viewed the 'stories' format not as a proprietary feature, but as a new, universal primitive for mobile sharing, akin to the 'feed.' They believed denying users this powerful format would be a disservice, so they adopted it and improved upon it for their specific user base.
Top product builders are driven by a constant dissatisfaction with the status quo. This mindset, described by Google's VP of Product Robbie Stein, isn't negative but is a relentless force that pushes them to question everything and continuously make products better for users.
AI development has evolved to where models can be directed using human-like language. Instead of complex prompt engineering or fine-tuning, developers can provide instructions, documentation, and context in plain English to guide the AI's behavior, democratizing access to sophisticated outcomes.
The founders of Stamped emailed Scooter Braun, Justin Bieber's manager, pretending they'd be in LA the next day for a meeting. When he unexpectedly agreed, they immediately booked flights, pitched him, and successfully got Bieber to use their app, demonstrating the power of intense urgency.
To grow an established product, introduce new formats (e.g., Instagram Stories, Google AI Mode) as separate but integrated experiences. This allows you to tap into new user behaviors without disrupting the expectations and mental models users have for the core product, avoiding confusion and accelerating adoption.
Unlike chatbots that rely solely on their training data, Google's AI acts as a live researcher. For a single user query, the model executes a 'query fanout'—running multiple, targeted background searches to gather, synthesize, and cite fresh information from across the web in real-time.
Robbie Stein's product-building framework focuses on three pillars: 1) Go deep on user motivation (Jobs To Be Done). 2) Use data to dissect problems with rigor. 3) Prioritize clear, intuitive design over novel but confusing interfaces. Humility is the foundation for all three.
The feature initially failed because users added only one 'best friend,' making a reply unlikely. It became successful when the team realized the core job was the emotional payoff of connection. They encouraged larger lists (20-30 people) to guarantee users would receive DMs, thus fulfilling that emotional need.