Building an AI-Native Company
The founder of CodeWall, an AI security startup, describes how they operate as an AI-native company by treating AI as foundational infrastructure rather than just a tool. They illustrate this approach through two examples: building a custom investor dataroom using an AI agent and developing a centralized 'company brain' to reduce context-switching overhead. The core idea is that AI minimizes the cognitive load of switching between tasks, enabling founders to operate more efficiently across multiple workstreams.
Opening excerpt (first ~120 words) tap to expand
On building an AI-native company28 April 202610 min readI run CodeWall, a pre-seed AI security company. We recently published research on breaking into the AI platforms of McKinsey, Bain, and BCG — but this post isn't about the offensive side. It's about how we run an AI-native company day-to-day. About six months ago I stopped thinking of AI as a tool I use and started thinking of it as infrastructure I build on. This is what that looks like in practice. The Thesis I believe AI lets one person do the work of several. Not in the breathless "AI will replace everyone" way, but in a specific, structural way that most people are underestimating. The real bottleneck now for a founder is context switching.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Co.
