Building AI-native companies requires shifting from treating AI as autocomplete to managing it as a scalable workforce. By encoding organizational processes into "skill files" and "resolver tables," founders can achieve massive productivity gains, often reaching 400x the output of traditional engineering workflows. Success depends on "context engineering"—curating a company brain that acts as a library of institutional knowledge, ensuring agents have the right information to perform complex tasks. Rather than performing one-off work, teams should "skillify" every successful AI interaction to compound organizational intelligence over time. This approach allows small, lean teams to operate at the scale of large institutions, effectively "boiling the ocean" by automating everything from technical development to operational finance, ultimately redefining the limits of what a single founder or small team can achieve.
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