According to @ozenhati, Head of Developer Relations at GroqInc, during AI Dev 25 x NYC, compound AI systems can now build deep-research agents with just a single API call. She demonstrated how these agents autonomously select tools, iteratively reason over data, and repeat processes until a solution is found. The presentation highlighted that latency is a critical bottleneck for deploying such research workflows in real-world applications. Groq's unique LPU (Language Processing Unit) architecture directly addresses this by enabling ultra-fast, low-latency performance, making these advanced AI agent workflows viable for business use cases such as enterprise research automation and knowledge management (Source: @DeepLearningAI, Nov 14, 2025).