Create tools to monitor and improve consistency in AI model outputs. Helps prevent 'model drift' during long sessions.
As AI models are used for longer tasks, maintaining consistent quality becomes crucial.
Developers notice AI models can become less coherent or capable during extended use.
A toolkit to monitor output quality and automatically refresh models could maintain performance.
Sell to companies building on AI platforms.
MVP could be a simple monitoring wrapper.
Risk: AI providers may solve this themselves.
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