Essays by Ry Walker

Agent companies are marathons you sprint through. Frameworks commoditize, monetization pins to infrastructure, and proximity to real builders is the moat.

The same mesh-of-agents pattern that closes the gap between ad click and revenue is the one that retires the ERP dashboard. Two examples, one architecture.

There is no winner-take-all platform in agents. The GTM is services-shaped, the harness is commoditized, and coding-agent companies have a narrow window to pivot before the floor falls out.

Every large company is quietly building an internal agent factory. The stack looks the same everywhere, and most of these systems will be in disrepair within a year.

Enterprise agents need layered interfaces, real software skills, and flexible platforms. The harness around the model matters more than the model.

Enterprise AI will not be one mega-agent. It will be a mesh of atomic, auditable units, and the companies that nail review and context will own the next infrastructure layer.

Models keep getting better, but agents without deep codebase and organizational context are just expensive autocomplete. Context engineering is the bottleneck nobody has productized.

Role-based agents promise to replace a job and require infinite context engineering to deliver. Workflow-based agents start small, ship in a week, and compound.

Enterprises treating AI agents as a procurement decision will fail. Agents are software, every obvious idea commoditizes in weeks, and the bottleneck has moved from writing code to reviewing it.

The gap between an AI demo and an AI deployment is called software engineering. Most organizations are not equipped to close it, and that is where all the value lives.