Prototyping is democratized, but production deployment isn't. AI models have commoditized code and agent generation, making it possible for anyone to build sophisticated software in minutes. Claude can scaffold a fully functional agent before your morning coffee gets cold. But that same AI will happily architect a $5,000/month DevOps setup when the system could run efficiently at $500/month. In a world where anyone can build internal tools and agents, the build vs. buy equation has fundamentally changed. Competitive advantage no longer comes from whether you can build. It comes from rapid iteration on AI that solves real problems for your business and, more importantly, reliably operating those systems at scale.

To do that, companies need an internal AI stack as robust as their external product infrastructure. That's exactly what Vercel's agent orchestration platform provides. For decades, the economics of custom internal tools only made sense at large-scale companies. The upfront engineering investment was high, but the real cost was long-term operation with high SLAs and measurable ROI. For everyone else, buying off-the-shelf software was the practical option. AI has…