Owlyn: Building a Multimodal Agent Ecosystem for Live Technical Interviews and Real-Time Assistance #GeminiLiveAgentChallenge

The current landscape of technical hiring is bottlenecked by a fundamental scalability problem. Organizations receiving hundreds of applications per role find it impossible to conduct live, high-quality interviews for every candidate, often resorting to cold, non-immersive recordings or static tests. These traditional "AI interviews" are neither live nor engaging—they strip away the conversational nuance that defines a great engineer and leave both the company and the candidate with a fragmented view of technical potential. We built Owlyn to solve this gap using real-time multimodal intelligence. Instead of a static AI assessment, Owlyn operates as an autonomous agent ecosystem capable of seeing, hearing, and reasoning about a candidate’s live workspace. By leveraging the Gemini Live API, Owlyn conducts real-time technical interviews and provides a persistent assistant mode that can see, hear, and interact with sub-second latency. Every interaction is synchronized with live transcripts