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Tesmon Models use AI/ML to learn from your interactions on Tesmon Desktop. They automatically adapt to changes, enabling assertion-free testing. This means less time spent writing and updating tests, which could become outdated.

Visit Models page to create, manage, and release models.


Use a separate model for each environment.


You can share training data between models for different environments. For example, if you update your local model with new code and are preparing to deploy to a staging environment, you can transfer the trained data from the local model to the staging model. This approach saves time by eliminating the need to retrain the model for different environments.