The strategic insight is not to compete with what Shopify or Stripe are building internally. You will lose that fight. They have context, data access, and engineers who understand their specific domain better than any vendor ever will.
The opportunity is everyone else. For every Shopify with a polished internal platform, there are a hundred companies where one developer stood up a hacked-together system that now runs in production on a single large VM. Bus factor of one. No autoscaling — they are paying $3,000 a month regardless of usage. A blip of downtime on every deploy. Mid-market enterprises that do not have principal engineers with spare cycles for custom agent infrastructure. Even when they try, they are not going to build something as good as what the big companies built with dedicated teams.
The product strategy is to study what the winners built, aggregate those requirements into a comprehensive platform, and sell it to the companies that cannot or should not build it themselves. This is not novel. It is how every successful infrastructure company has been built. Study the homegrown systems at the top, build the commercial version, sell it to the middle.
We are at maximum entropy right now. Every week brings a new model, a new harness, a new internal tool. It will get more chaotic in six months. The companies that come out ahead will not be the ones with the most internal AI tools. They will be the ones that operationalized agent infrastructure early — shared context, multi-agent execution environments, reviewable output pipelines — and let their people focus on the actual work instead of maintaining bespoke tooling.
The gap between AI demo and AI deployment is called software engineering. The gap between one team's internal bot and enterprise-grade agent infrastructure is called a product. The internal tools era is a phase. I've argued elsewhere that homegrown platforms decay — what comes next is the infrastructure that replaces them.
Sources
Related Essays
Homegrown Platforms Decay
Internal agent platforms are built by ambitious individuals with other jobs. When those engineers move on, the platform becomes a liability.
What the Build-vs-Buy Data Actually Shows
From Stripe to a five-person startup, the agent stack is mostly blue — built in-house. The harness is bought. The middle of the stack is built. The opportunity sits in turning blue dots green.
The Agent Stack Build-vs-Buy Map
Lay out the seven layers of the agent stack and a clear map emerges. The harness is commoditized. Context, memory, and orchestration are blue across the chart.
Key takeaways
- The strategic insight is not to compete with what Shopify or Stripe are building internally. They have context, data access, and engineers who understand their domain better than any vendor.
- For every Shopify with a polished platform, there are a hundred companies running a single-VM agent system with a bus factor of one and no autoscaling. That is the buyer.
- Study what the winners built, aggregate the requirements, and sell it to the companies that cannot or should not build it themselves. This is how every successful infrastructure company has been built.
FAQ
Who is the buyer for a commercial agent platform?
Mid-market enterprises that built a hacked-together internal system, promoted it to production, and now realize the bus factor is one and the bills are climbing. They cannot or should not build the next version themselves.
How do you compete with internal teams that have more context?
You do not. They will win on context. You win on operational rigor — autoscaling, audit trails, multi-harness support, observability, reviewable output pipelines — that internal teams never get around to building because they always have something more urgent.