CallMissed Blog
Insights on AI communication, voice agents, WhatsApp automation, and the future of customer engagement.
6 min readMitigating AI Bias in Production Systems
"Mitigating bias" in AI is one of those phrases that has been loaded with so much rhetoric that the engineering practice underneath has gotten confused. This guide is for builders who have to ship a system in 2026 and want to reduce real, measurable disparate harm — not abstract bias scores. Here is…
Evaluating Voice Agents: Beyond Word Error Rate
Word Error Rate is the most-quoted metric in voice AI and the least useful for evaluating actual voice agents. WER measures STT accuracy on transcribed audio. It tells you nothing about whether your agent answered the user's question, finished the task, sounded natural, or kept the conversation aliv…
Agent Evaluation Frameworks: Braintrust, Inspect, Langfuse, and DIY
The hardest question in agent engineering is not "how do I build it?" — frameworks have solved that. It is "is the new version better than the old one?" Without a credible answer, every prompt change is a vibe-check and every model bump is a coin flip. By 2026 the evaluation tooling has matured enou…