User intent classifier
What does the user want, and are they telling the app to do something right now?
Classifies what a user typed or said into your intents, and separately checks whether it's a command for the software rather than chatter or dictation, which is how always-listening assistants avoid acting on everything they hear. Unclear requests get a clarifying question. Replace the intents with your own.
Try it live
Real calls to Jev. Pick an example or paste your own.
Pick an example or paste your own input, then run it.
Under the hood
Every question and rule, in the open. Fork it to change any of them.
What it asks
Reads utterance, then asks 2 questions in one call.
- Q1IntentPick one
What does the user want?
Ask a questionReport a problemRequest a featureBuy or upgradeCancelGive feedbackGive a commandSmall talkUnclear - Q2Instruction to the appYes / no
Is the
utterancean instruction for the software to do something now, as opposed to talking, thinking aloud, or dictating text?
How it decides
Rules run in code, top to bottom. The first one that matches gives the verdict.
- 1If Intent: confidence < 0.6Ask to clarify
- 2If Intent is UnclearAsk to clarify
- 3Otherwisethe answer to “Intent”
- ·DefaultAsk to clarify
Call it from your code
Every template runs as-is with an API key, no setup: POST /api/v1/judges/intent-classifier/run.
curl -X POST https://tryevally.com/api/v1/judges/intent-classifier/run \ -H "Authorization: Bearer $EVALLY_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "input": { "utterance": "Turn off the living room lights and set the thermostat to 20" }}'Seen in the wild
Community builds on Jev that use this pattern. Not affiliated with Evally.
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