Best Voice & Chat Testing Platform for AI Agents
When it comes to AI voice agent development, voice agent reliability goes beyond strong models, it requires rigorous testing. From pre-production, to real-time production monitoring, quality assurance ensures that voice agents deliver smooth, compliant conversations.
However, voice agent testing is complex. There are multiple variables to consider and test, including the voice agent tech stack, prompt quality, prompt adherence, security and compliance considerations and the added complexity of multi-step agents.
The most effective voice agent quality assurance strategies go beyond audio. Chat and text based testing provide a faster, more controlled way to identify failures before they reach users. Oftentimes, when companies approach Hamming for AI voice agent testing, teams have clear KPIs for their agents, but little clarity on what to measure in the testing platform itself.
So what should you look for in a testing platform for AI agents?
What to Look For in a Chat & Voice Testing Platform
A chat and voice testing platform should deliver production-grade QA, latency and quality observability, real-world simulation, scalable feedback loops, and a voice analytics dashboard built for visibility.
Production-grade QA
Testing voice agents requires turn-level coverage across the full pipeline: STT, LLM, TTS, and telephony, so every exchange is measured for intent accuracy, response completeness, and speech clarity. A voice testing platform needs to be built for these conversational pipelines
Latency and Quality Observability
A testing solution needs to track latency at p45, p90, and p99 percentiles per stage, while also monitoring quality indicators like prompt adherence, and interruption handling. Without this observability, optimizing latency becomes challenging.
Real-world Simulation
Production environments introduce variables that traditional testing cannot account for, background noise, varying accents, overlapping dialogue, and diverse user behaviors. A voice testing platform needs to simulate these conditions to ensure agents perform as reliably in the real world as they do in controlled environments.
Scalable Feedback Loops
A testing platform should integrate into CI/CD workflows, automate regression testing, and provide feedback through tools like GitHub and Slack, allowing engineering teams to detect issues early and iterate faster.
Voice Analytics Dashboard
A voice agent testing platform should consolidate voice agent performance data into a single dashboard, enabling QA, engineering, and product teams to track regressions, analyze failures, and extract insights to guide both technical fixes and product decisions.
Why Hamming Is the Best Testing Platform
Hamming provides voice observability, the ability to see exactly how an AI voice agent performs at every stage of the pipeline. Instead of surface-level metrics, teams get actionable insights that cut debugging time and keep production systems reliable.
Hamming offers:
- Drill down into failure cases with synchronized audio and transcripts
- Stage-by-stage performance visualization with heatmaps for fast debugging
- Real time call health tracking with SIP status monitoring and clear termination indicators
- Event correlation by timestamps to pinpoint where latency or errors originate
Engineering at the Core
What truly sets Hamming apart as the best voice and chat testing platform for voice agents is Hamming’s engineering culture. As one of the fastest moving engineering teams in the world, Hamming is built around velocity, precision, and transparency.
Every feature is designed to help teams build reliable voice agents that perform under real-world conditions. Engineers get stage-by-stage heatmaps, diffs, and real-time observability, turning debugging into a fast, transparent process.
Hamming’s culture is also production-obsessed. Voice agents are tested against the same variables voice agents face in production, degraded audio, network jitter, scaling events, multilingual inputs, and even adversarial edge cases like jailbreak prompts. These are the conditions where most agents break down, but they’re exactly what Hamming is built to simulate and monitor.
Explore Hamming today