How to Prevent AI Drift
Definition
AI drift occurs when system behavior gradually deviates from its original intent.
The Problem
Drift appears as:
- changing tone
- inconsistent decisions
- deviation from task goals
It is common in systems that rely on:
- prompt history
- unstructured memory
Why Drift Happens
- no persistent state model
- repeated reinterpretation of context
- lack of behavioral constraints
The system adapts without direction.
The Controlled Model
With IBOS:
- interaction signal is tracked
- state is updated continuously
With ASD:
- behavior is constrained
- transitions are controlled
This prevents uncontrolled deviation.
Result
- consistent tone
- stable behavior
- alignment with original intent
