FAQ from Janus
What is Janus?
Janus is a battle-hardening platform for AI agents—designed to simulate real-world usage at scale, surface latent weaknesses (hallucinations, policy violations, tool failures), and deliver precise, actionable pathways to improve agent robustness, safety, and performance.
How to use Janus?
Define your agent’s behavioral and compliance requirements, configure synthetic user populations, and launch automated simulation campaigns. Janus analyzes interactions across thousands of test cases, surfaces failure clusters with root-cause context, and recommends high-impact improvements—then validates fixes in subsequent rounds. Book a live walkthrough to experience the workflow end-to-end.
What makes Janus different from standard LLM evaluation tools?
Unlike static benchmarking suites, Janus emphasizes *dynamic, interactive stress-testing*: simulating realistic human behavior over extended dialogues, enforcing custom policy logic, diagnosing tool stack failures in context, and delivering engineering-integrated insights—not just scores.
Can Janus evaluate voice-first AI agents—or only text-based ones?
Yes—Janus supports multimodal evaluation. For voice agents, it simulates acoustic variability, ASR transcription errors, turn-taking ambiguity, and speech-specific failure modes (e.g., mishearing, interruption handling, prosody misalignment), all while preserving end-to-end interaction fidelity.
How does Janus handle evolving agent versions during iterative development?
Janus enables version-controlled evaluation baselines. Compare performance deltas across model updates, prompt revisions, or tool integrations—tracking hallucination rates, policy adherence scores, and tool success rates over time to quantify improvement (or regression) objectively.
Does Janus integrate with existing MLOps or observability platforms?
Absolutely. Janus offers native integrations with popular MLOps stacks (e.g., Weights & Biases, MLflow, Prometheus/Grafana) and provides APIs for custom pipeline ingestion—allowing evaluation metrics to feed directly into CI/CD gates, alerting systems, and model registry dashboards.