AI Waste & Optimization - OpsBeacon

What counts as AI waste

OpsBeacon flags AI spend as waste when it identifies:

Failed requests — API calls that errored out but still incurred token costs
Duplicate requests — identical prompts sent multiple times without caching
Oversized prompts — prompts significantly longer than needed for the task
Unused completions — completions generated but never used by the application
Over-provisioned models — using GPT-4 or Claude Opus for tasks a smaller model handles equally well

How to surface waste

@Beacon where is AI spend being wasted?
@Beacon show me waste analysis for the AI projects
@Beacon what would I save if I switched the classification project to a smaller model?

Optimization recommendations

For each waste pattern identified, Beacon provides a specific recommendation and an estimated monthly savings if the fix is applied.

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