LIVE JEV APPLICATION

Chat Intent Analyzer

See what Jev infers before you decide how to reply.

Add up to ten short messages, identify who sent each one, and run a real TypeSafe Jev decision. The result shows likely intent, probabilities, risk and a recommended next action instead of hiding everything behind one generated answer.

Real Jev decision

Add a short conversation

Keep the latest message last. Jev evaluates the conversation as structured choices; it does not retrieve private context you do not provide.

Used as context, not as a demographic profile.

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2/10 messages · 0/8000 characters

Try an example

Public preview · rate limited · not saved

Ready for a conversation

The result will show seven structured judgments, confidence, probability distributions and any ranked reply drafts.

What Jev evaluates

One structured Jev request evaluates the same conversation from several decision angles.

Likely intent

Classifies the most plausible goal behind the latest message without claiming to read the sender's mind.

Reply timing

Estimates whether an immediate reply is useful or whether waiting is the safer action.

Conversation risk

Scores escalation risk on a defined rubric and keeps the underlying probability distribution visible.

Next action

Chooses among concrete actions such as clarify, acknowledge, answer directly, set a boundary or pause.

How the two-stage decision works

  1. 1Jev analyzes the conversation with fixed questions and named choices.
  2. 2If a compatible text model is configured, it drafts three possible replies from that structured analysis.
  3. 3Jev compares those candidates and ranks the best fit. A draft is never sent automatically.

Privacy and limits

Conversation text is processed for this request and is not saved to the JevPlay database. Avoid secrets or sensitive personal data. Results are probabilistic guidance, not proof of another person's private thoughts and not professional safety advice.

Open-source reference

This web experiment adapts the decision pattern demonstrated by Finderchangchang's MIT-licensed jev-chat-JARVIS project. JevPlay uses a neutral relationship model, explicit probability output and no Android accessibility access or automatic message sending.

View jev-chat-JARVIS on GitHub

Frequently asked questions

Is this a real Jev request?

Yes. When Jev responds, you can see the result and its timing. If it is unavailable, the page tells you.

Does Jev know the sender's true intent?

No. It estimates the most likely category from the text and context you provide. Probabilities make that uncertainty visible.

Will JevPlay send a reply for me?

No. Any suggested reply remains a draft that you review, edit and send yourself.