The AI Control Plane Spectrum
Vendors sell five different things as an AI control plane. A four-level spectrum to tell token routing from a substrate that keeps your methodology.
Tag: mounted-agents
Notes on building the collaboration layer for agents and operators.
Workflows Are Eating Apps
AI workflows are replacing SaaS tools, but the workflow lives inside the vendor. The lock-in is worse than the product it replaced.
How We Actually Work With Agents
Two founders run a company on a roster of agents across three harnesses and one shared substrate. The real workflow, plus five primitives to build your own.
Two Agents Are Better Than One
Smarter models won't unlock the next productivity step. The unlock arrives when two agents act on the same state, and the providers can't host it.
Your AI Vendor Lock-In Is Five Layers Deep
Model portability is the easiest layer to solve. Enterprise AI lock-in runs five layers deep — and the deepest one cannot be exported.
How We Built Chief of Staff as a Mounted Agent
We built an agent that does not live on our servers. Three memory layers, two operators, one imprint. Here is the architecture and what surprised us.
What Opens Up When You Split the Agent From the Model
When you split the agent from the model, the economics flip: builders stop rationing intelligence, token efficiency becomes visible, and every model price drop passes through as a free upgrade.
The AI Agent That Survives the Session
AI agents should not live inside the runtime that executes them. Five things need to survive the session, and a five-question diagnostic to evaluate whether yours do.