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NewAdaptive real-time in-app support with Jev + It detects where you're struggling and quietly adds help directly into the UI - explanations, suggestions, even actions. Jev figures out if and where you're struggling, then triggers the right functions when needed. An LLM can render contextual help from your knowledge base…
Jev determines whether and where a user is struggling in the app, then triggers relevant functions. An LLM can use a knowledge base and product or Salesforce context to render contextual help.
The system detects where the user may be struggling.
Jev determines if support is needed and triggers the relevant functions.
An LLM can render explanations or suggestions using the knowledge base and product context; the system may also provide actions.
Support is triggered by detected need inside the interface, combining a decision about when and where to help with a separate language-model step for generating contextual explanations.