Building an AI-Native Company
The founder of CodeWall, an AI security startup, describes how AI has shifted from being a tool to foundational infrastructure for running the company. By using AI agents to build custom systems like an investor dataroom and a centralized company knowledge base, the team reduces context-switching overhead and accelerates execution. This approach enables rapid development and integration of tailored solutions that would traditionally be outsourced or delayed due to cost and time.
- ▪The founder uses AI agents to build internal tools, such as an investor dataroom with NDA flows and personalized access, in under an hour.
- ▪AI reduces the friction of context switching, allowing founders to manage multiple workstreams without losing momentum.
- ▪Custom AI-built systems are deeply integrated with the company’s stack and can evolve with changing needs, unlike off-the-shelf SaaS products.
- ▪CodeWall leverages AI not just for automation but as infrastructure to create a 'company brain' that centralizes knowledge and enables intelligent agent actions.
- ▪At the pre-seed stage, low development overhead makes building bespoke tools more feasible than buying expensive, standardized software.
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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.
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