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Design Dogma

Restricting agents is the key to controlling them.

The Core Claim

LLM-based agents are not controllable because they are intelligent. They are uncontrollable because they are given too much freedom.

This system is built on a single, explicit belief:

Agent reliability increases as agent freedom decreases.

Control does not emerge from better prompts. It emerges from structural restriction.

What “Restriction” Means Here

Restriction is not about limiting model capability. It is about limiting authority.

Agents produce proposals. The system decides.

Why Autonomy Fails in Practice

Fully autonomous agents fail for predictable reasons:

These are not implementation bugs. They are architectural consequences.

The Counter-Intuitive Result

Restricting agents does not make systems weaker. It makes them usable.

Intelligence is preserved.
Chaos is removed.

How This Dogma Manifests Architecturally

What This Is Not

It is optimized for correctness.

Closing Position

If an agent can surprise you, it can fail silently.

This system is designed so that nothing surprising can happen — only allowed transitions, explicit failures, and traceable decisions.

That is not a limitation.
It is the point.