Elixir
p/elixir-2
Automated Testing & Call Review for your AI Voice Agent
Andrew Chang
Elixir — Automated Testing & Call Review for your AI Voice Agent
4
Elixir ensures your voice agent is reliable and works as expected in production. Simulate realistic test calls. Automatically analyze conversations and identify mistakes. Debug issues with audio snippets, call transcripts, and LLM traces all in one platform.
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Andrew Chang
Hey PH! We’re Chetan, Akshay, and Andrew, and we’re the creators of Elixir - a platform that provides automated testing and call review for your AI voice agent. We built Elixir while trying to solve some of our own problems when building Code Coach, an AI technical interviewer. We found ourselves spending significant time manually listening to calls for issues ranging from interruptions and transcription errors to user frustrations and poor conversation experiences, as well as trying to test the agent on different scenarios to make sure it wouldn’t break. That’s where Elixir comes in: ✔ Track call metrics and identify mistakes at scale. Streamline your manual review process with call auto-grading ✔ Simulate 1000s of calls to your voice agent for full test coverage across different languages, accents, speech patterns and more ✔ Debug issues quickly with the help of audio snippets, LLM traces, and transcripts With multimodal models like GPT-4o right around the corner, we believe voice agents will grow in capability and complexity, making testing and call review even more important for reliability. We’re excited for you to try it out and are looking forward to hearing your feedback in the comments!
Shobhit Srivastava
Congrats on the launch! I'm excited to try out Elixir - building reliable voice AI apps is super hard, so I'm glad there's a strong team solving this!
Ghost Kitty
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William Woods
I'm interested to see how it performs in real-world circumstances and how it might be applied to other workflows.