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Malleable feature

Malleability Spectrum

Choose where the operation adapts—and where it stays predictable.

The problem it solves

Traditional automation treats every step like a fixed rule. Raw agents can treat every step like an open-ended reasoning problem. Real operations contain both predictable work and situations that require judgment, with different expectations for control at each stage.

How it works

  1. 01Sets explicit goals, constraints, tools, and completion criteria for every stage
  2. 02Gives the agent only the freedom that stage's context and consequences require
  3. 03Lets experts tighten or loosen the boundary as the operation and its risks change

What makes it different

Malleability is a governance choice made stage by stage: predictable where control matters, adaptable where intelligence creates value.