The creator of OpenClaw, Peter Steinberger, shared important advice for AI developers after joining OpenAI: stay curious, playful, and patient. In the first episode of OpenAI's newly launched podcast *Builders Unscripted*, he said he initially had no clear plan but gradually built the widely popular AI agent tool through continuous exploration and trial-and-error. Steinberger recalled that he originally intended to develop a tool integrating WhatsApp, but later shelved the project, assuming large companies would soon launch similar features. It wasn’t until November 2023—when he found there was still no ideal product on the market—that he decided to build it himself. During a trip to Marrakesh in Morocco, poor network conditions made WhatsApp unreliable, which led him to realize the immense value of a seamless connection between mobile devices and AI. This insight gave birth to the prototype of OpenClaw—an early version capable of helping him find restaurants, search information, send messages, greatly boosting his efficiency. As he continued using it, he came to deeply appreciate modern AI models’ problem-solving capabilities, even their ability to "propose solutions autonomously" without manual programming. He emphasized this process didn't happen overnight—it required constant iteration and reflection. Comparing AI development to learning guitar, he noted: “You won’t play well on day one, but as long as you practice consistently, you’ll improve.” He criticized some developers' misunderstanding of 'vibe coding,' arguing it’s not simply about randomly trying things, but rather a skill requiring time and accumulation. He advised developers to approach projects with a playful mindset and focus on building what they truly want to create. “If something has been lingering in your mind—a thing you’ve always wanted to make—just go ahead and build it, even if just for fun.” He believes that by maintaining creativity and initiative, individuals with ‘high autonomy’ will become increasingly valued, even amid rapid advancements in AI. At its core, Steinberger’s message is simple: don’t fear failure, avoid rushing results, treat AI as a partner rather than merely a tool, and let curiosity drive innovation.