Evaluation
4 min read
Why your AI outputs feel inconsistent

Written by
Ashgrid Labs
Variance isn’t a model problem — it’s a systems problem. How to find the three places it actually comes from.
It’s the pipeline, not the model
Most inconsistency comes from retrieval returning different context, prompts drifting between versions, and tools failing silently.
Pin everything
Version your prompts, your retrieval settings and your tool schemas together, so a change in one is visible in your evals.
Measure variance directly
Run the same input ten times. If the answers differ in ways your users would notice, you have found your next fix.
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