What Will You Do With Unlimited IQ?

The emergence of highly capable AI models has fundamentally altered the software development landscape, shifting the focus from manual product creation to the optimization of automated "software factories." In this new paradigm, intelligence is treated as an abundant, accessible utility, enabling founders to iterate and improve products at unprecedented speeds. The core thesis posits that the ability to build systems that constantly acquire and process signals—effectively creating a self-improving loop—is now the primary driver of competitive advantage.

Key findings emphasize that the traditional model of product-led growth is evolving into "agent-led growth." Data indicates that autonomous agents are increasingly discovering, evaluating, and purchasing software products on behalf of their human users, often bypassing traditional marketing funnels. Consequently, companies are moving away from deploying hundreds of disparate internal agents toward centralized, unified intelligence systems that function as a foundational "Jarvis-like" peer for every employee, handling everything from onboarding to strategic communication.

Methodologically, these insights are derived from real-world operational experiments at Vercel, where the company transitioned from decentralized agent experimentation to a singular, company-wide intelligence infrastructure. The analysis concludes that in a market saturated with AI-generated options, long-term defensibility no longer stems from the models themselves, but from the quality of the surrounding "software factory." Success now depends on a company’s ability to implement robust verification loops, maintain high standards of trust, and execute rapid, high-signal improvements that differentiate their output in an increasingly automated ecosystem.