The bottleneck for enterprise AI is not model capability but connecting heterogeneous internal data (SaaS, warehouses, unstructured) into a unified context layer that agents can dynamically…

Founders should hire for learning velocity, endurance, and context-switching capacity rather than years of experience; 21-23 year olds living in AI tools can reach senior technical skill le…

AI-generated code makes building internal tools tempting, but total cost of ownership (security, scaling, dependencies, upgrades) is underestimated; companies should vibe-code only custom U…

In the AI era, pre-seed startups can achieve 100% MoM revenue growth on near-zero burn ($500) by keeping teams tiny, solving design partner problems deeply, and deferring sales hiring until…