At the "What would jev Do" hackathon hosted by @adalagent, we worked on a runtime safety layer for AI companions. The proof of concept focuses on mental health support, where both signs of distress and inappropriate AI replies need careful handling.
Participated in the "What would jev Do" hackathon hosted by @adalagent Worked on a runtime safety layer for AI companions. The proof of concept focuses on mental health support, where both signs of distress and inappropriate AI replies need careful handling. You may refer to
During live clinical consultations, an ambient scribe periodically feeds transcripts to Jev, which traverses a medical ontology to classify symptoms, update the differential diagnosis, suggest treatments, and flag red flags in real time.
The author demonstrates how to triage a patient to the right doctor using only TypeSafe AI's Jev model and some question-asking code, noting that no LLM is used during the conversation.
A developer shares building a calorie tracking app with Jev, highlighting its instant experience.
