AI Hacks from a 3x Founder to Scale Your Business and Life

Chen says experience helped him set realistic expectations about how difficult and slow startups can be. Founders also need to connect a long-term vision to what customers need now, and test their assumptions against reality. He argues that a founder’s self-awareness can set a limit on how well the company performs.

Runway refreshed its values to reflect language and behaviors already present on the team. Chen highlights “Give a F***” as a way to describe people who care deeply about their work, and “Raise the Bar” as a commitment to hiring stronger teammates and pushing the quality of the work. He sees the company website as part of its marketing and hiring work, not separate from the product effort.

Chen says Runway had just under 50 employees and expected AI to let a small team do more without scaling headcount as quickly. He built a Zapier workflow that checks inbound leads, enriches them with company information, asks ChatGPT to assess fit, and drafts personalized emails for qualified prospects. For getting started, he recommends using tools like ChatGPT and Perplexity regularly, then trying automations and code-generation tools.

Chen describes Universal Primer GPT, which teaches a complex topic through analogies, identifies missing prerequisites, and adapts lessons to what a learner already knows. He also says his children used ChatGPT to develop a game idea after seeing a Gundam statue in Japan, then began building it with Unreal Engine. He believes self-directed curiosity can help people learn useful skills.

Chen says Runway spent roughly two and a half to three years before seeing meaningful evidence that its idea could work. He advises founders to keep going while they still believe in the mission, while staying flexible about how to reach it and learning from customers. Runway aims to make business finance easier to understand by connecting models to real company data and giving employees context about how their work affects the business.