Argus AI doesn’t just test the happy path. It simulates frustration, contradiction, prompt-injection and manipulation, plus AZ↔RU code-switching, to find where your assistant fails under pressure.
Real users are messy and some are hostile. Argus AI stress-tests your assistant with adversarial conversations — frustration, contradiction, prompt-injection and manipulation — and with AZ↔RU code-switching, surfacing the failures a happy-path check would never reveal.
Simulates frustration, contradiction, prompt-injection and manipulation.
Tests AZ↔RU code-switching within conversations.
Surfaces failures a happy-path test would miss.
Runs at scale across thousands of conversations.
Every adversarial conversation is scored by an Azerbaijani-native judge.
Frustration, contradiction, prompt-injection and manipulation, plus AZ↔RU code-switching.
Because real Azerbaijani users switch between Azerbaijani and Russian, and assistants often break when they do.
An Azerbaijani-native LLM judge scores each conversation on accuracy, tone, formality, compliance and safety.
Generates thousands of realistic Azerbaijani synthetic users to test your chatbot at scale.
An AZ-native LLM judge scores accuracy, tone, formality, compliance and safety.
Gives each release a readiness score, so you can gate launches with confidence.
Rerun the same suite on new versions and confirm past issues stay fixed.
See the complete product: problem, features, how it works and deployment.
Request a demo to see Argus AI stress-test your assistant with synthetic Azerbaijani users, then score every conversation.