Reality Feedback Kit

Capture real-world outcomes and feed them back into the agent learning loop.

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Configuration

Collection

Anomaly detection

Feedback Pipeline

Feedback

1.2k

Processed

1.1k

Anomalies

Collect FeedbackGather 340 user responses

Sentiment AnalysisClassify positive/negative/neutral

Detect PatternsCluster common themes

Update ModelFine-tune on feedback signals

Deploy UpdateRoll out improved model

Integration Code

import { createRealityFeedback } from 'agent-tools-kit/reality'

const feedback = createRealityFeedback({
  collection: 'automated',
  anomalyDetection: true,
})

feedback.on('outcome', (result) => {
  learningLoop.update(result)
})

await feedback.process({
  onStep: (step) => console.log(step.label, step.status),
})

console.log('Model accuracy:', result.newAccuracy)
console.log('Anomalies detected:', result.anomalies)