Jarvis Model + JEV – build an assistant with pre‑brain decisions
Project that shows how to create an AI assistant that decides before invoking the brain.
Jarvis Modelo + JEV is a foundation for creating an artificial intelligence assistant for study, work, customer service, or personal use. Before the main model plans a response, JEV reviews the request through five decisions, such as identifying its destination and checking whether an action is needed. The project lets you connect memory and tools suited to each use.
For users, this step helps route each request along an appropriate path. The assistant can consult memory excerpts or prepare a proposal, but JEV’s probabilities do not authorize actions. If there is uncertainty, the context is preserved; and a written action is only carried out after approval by the host, the system that controls the assistant. The demo proposes a fictional draft and does not send messages.
To get started, you can run the local demo without an API key or installing dependencies; it retrieves a fictional note and proposes a draft for approval. Using the real JEV requires setting an OpenRouter credential in the environment. Anyone adapting the foundation should pay attention to argument validation, persistent request records, and the cost of the real call, which adds a step to the workflow.
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