Organizations using open weights models struggle to verify that framework updates or fine-tuning don't inadvertently change model behavior in critical ways.
Build a service that runs comprehensive test suites against model versions, detecting output drift in responses to curated prompts. Provide diff visualization and regression alerts.
Target enterprises running their own models with subscription pricing. The MVP could simply compare embeddings before/after changes.
The probabilistic nature of LLMs makes deterministic testing inherently challenging.