Determinism at Edges
Bound uncertainty at the boundaries of a system so it does not leak into everything downstream.
Determinism at edges is a design rule: contain the model’s nondeterminism at the boundary and hand clean, typed, bounded results inward.
Why it matters
LLMs are probabilistic. If you let that probability flow unbounded through your system, every component downstream inherits the chaos. The fix is not to make the model deterministic, which you cannot. It is to put hard walls at the edge so the rest of the system stays predictable.
In practice
At each boundary you validate, constrain, and type the agent output before it touches anything else. The model can be creative inside the box. The box has walls, and what leaves the box is checked.
Where it shows up in my work
This is the coordination discipline behind the multi-agent systems I build, and the reason I make public boundaries schema-first.