The future winners in agent systems will not just generate better outputs.
They will make collaboration cheaper every time the system is used.
Lower supervision
Lower iteration
Lower model dependency
Higher trust
The next moat is the harness that learns.
The system that turns repeated correction into default behaviour will outperform the system that merely looks smarter on day one.
The agent market is measuring the wrong thing.
It keeps asking whether a model can complete a task.
The real question is whether a system can stop wasting human coordination.
That is where the next battle will be won.
The next real moat in AI is the harness that learns
Most agents can do tasks.
Very few become better collaborators through use
The missing layer is a harness that turns repeated human correction into lasting system behaviour.
We call this Harness Learning