Argus AI generates thousands of realistic Azerbaijani synthetic users — varying by role, goal, expertise, tone and language — and runs them against your chatbot at a scale no manual test can match.
Fixed test cases can’t cover an assistant whose answers vary by phrasing, history and mood. Argus AI generates thousands of realistic Azerbaijani synthetic users — differing in role, goal, expertise, tone and language — and runs multi-turn conversations against your chatbot, so you test the space of real behaviour instead of a handful of scripts.
Generates thousands of realistic Azerbaijani synthetic users.
Users vary by role, goal, expertise, tone and language.
Runs hundreds to thousands of multi-turn conversations.
Covers the variability that fixed test cases miss.
Connects via REST, Dify, Kommunicate or browser automation.
Assistant answers vary by phrasing, history, mood and language. Argus AI generates thousands of realistic synthetic users to cover that variability.
They’re realistic Azerbaijani users, varying by role, goal, expertise, tone and language.
Via REST, Dify, Kommunicate or browser automation.
Simulates frustration, contradiction, prompt-injection and AZ↔RU code-switching.
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.