
Hagyeong Shin

How Cresta Scales Data Annotation With a Human-Supervised Multi-Agent System (MAS)
How do you scale high-quality data annotation without sacrificing rigor? In this post, we explore our multi-agent approach—combining multiple LLM annotators, structured deliberation, and human oversight—to replicate the discipline of expert human workflows at enterprise scale.

Evaluating AI Voices – What Does It Mean to Sound “Good”?
"Your AI Agent doesn't sound good"—this critique is perhaps the deepest dread for anyone building a voice agent.


When Every Word Matters: Engineering Real-Time Multilingual Intelligence for Human Conversations
This technical deep dive unpacks the architectural decisions, latency optimizations, and model evaluation frameworks behind our Real-Time Translator (RTT)—showing how language detection, transcription, translation, and speech synthesis work together to enable seamless global communication.

How Cresta Scales Data Annotation With a Human-Supervised Multi-Agent System (MAS)
How do you scale high-quality data annotation without sacrificing rigor? In this post, we explore our multi-agent approach—combining multiple LLM annotators, structured deliberation, and human oversight—to replicate the discipline of expert human workflows at enterprise scale.

Evaluating AI Voices – What Does It Mean to Sound “Good”?
"Your AI Agent doesn't sound good"—this critique is perhaps the deepest dread for anyone building a voice agent.


When Every Word Matters: Engineering Real-Time Multilingual Intelligence for Human Conversations
This technical deep dive unpacks the architectural decisions, latency optimizations, and model evaluation frameworks behind our Real-Time Translator (RTT)—showing how language detection, transcription, translation, and speech synthesis work together to enable seamless global communication.
