Advice for Building in AI: Investing, Product, and the Messy Middle

Advice for Building in AI: Investing, Product, and the Messy Middle

AI, or artificial intelligence, has become a game-changer in various industries, offering solutions to problems that were previously unsolvable. However, it is important to remember that despite the advancements in AI technology, the fundamental dynamics of any business still apply. In this article, we will explore the common points between investing in AI, crafting innovative products, and navigating the messy middle of building a successful venture.

When it comes to investing in AI, Scott Belsky, a seasoned seed-stage angel investor, highlights the significance of focusing on early-stage companies in the consumer, marketplace, and "transformation by interface" space. He emphasizes the importance of product craftsmanship, specifically in shaping the first mile of a product's journey, building a design-driven product team, and optimizing user experience and copy. Belsky believes that the art of business lies in the things that don't scale, while the science of business lies in the things that do.

Incorporating AI into a product requires a keen understanding of narrative and positioning. Just as external marketing relies on a product's story, the team's perspective of their own product is equally important. Belsky admires teams that prioritize initiative over experience and value exceptional product experiences. These teams leverage existing forces to their advantage, showcasing remarkable imagination while staying grounded in the present. They are driven by empathy for those facing the problem they aim to solve, rather than being solely passionate about a specific solution. Furthermore, they maintain an optimistic outlook for the future while remaining critical of their execution.

Building in AI is not just about the big idea; it is about execution and attention to detail. Excellence in any field, including AI, requires hard work and getting the small details right. Belsky compares the importance of execution to the exponential growth curve. The seed of the idea may be significant, but how it unfolds and evolves is what truly matters.

Based on these insights, here are three actionable pieces of advice for building in AI:

1. Prioritize product craftsmanship: Pay attention to the first mile of your product's journey, build a design-driven team, and optimize user experience and copy. These elements will set your product apart and create a compelling narrative.