The Biggest Time Drain in Building Voice AI

After handling over 5,000 missed calls per month and launching numerous voice receptionist solutions (both inbound and outbound) for clients, I've identified the single biggest bottleneck: testing voice agents before they go live.

I've tried paid AI voice testers and experimented with tools like Langfuse, but nothing helped me test faster than building my own AI testing solution. This custom tester allows me to run hundreds of test cases for AI voice receptionists, enabling me to deploy voice agents that perform with significantly higher accuracy than what's typically available in the market.

The image you see is my MVP. It works for both inbound and outbound scenarios. While it's not quite ready for public sharing, I'm convinced that having a robust testing system like this is essential for any AI voice agency in 2026. Without it, you'll simply be too slow to compete.

Just food for thought as I continue my voice agent journey. I want to keep this community thinking critically about our processes.

Question for the community: How is everyone testing their voice agents right now?

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