The biggest challenges in building AI voice agents include handling interruptions and background noise, maintaining context in conversations, and reducing latency. To overcome these challenges, modern AI solutions like Vapi's Workflows and AssemblyAI's Streaming Speech-to-Text API are being used to provide more natural and responsive interactions. These solutions enable AI Voice Agents to detect and adapt to user input in real-time, store important details throughout a session, filter out background noise, and process conversations with low latency. By leveraging these improvements, businesses can build custom AI Voice Agents that feel human-like, adapt in real-time, and integrate seamlessly into their workflows.