/sentences/attention
Trace before trust.
If a run cannot be explained, it cannot be trusted at scale.
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Trust in AI systems is not a mood; it is an audit property. If you cannot reconstruct what happened, you cannot debug failures or improve behavior safely.
A structured trace keeps attention on the sequence of decisions, not just the final answer. It reveals where policy, tooling, or context actually broke.
Systems become safer when memory is externalized into logs, not held in assumptions.
What this changes in practice: capture each step as structured trace data before you optimize for speed.