Building a voice agent: the full production timeline for both approaches

Building a voice agent involves navigating complex technical challenges, particularly in managing the coordination of technologies like speech-to-text (STT), language models (LLM), and text-to-speech (TTS). Two primary approaches are discussed: a full DIY stack, which involves selecting and integrating separate components for each function, allowing for deep customization but requiring significant time and expertise, and a streamlined single-WebSocket method using an API like AssemblyAI's Voice Agent API, which integrates these components behind a single endpoint for faster deployment but with less control. The DIY route can take four to eight weeks, offering complete control over each layer, which is advantageous for teams needing specific customizations or compliance requirements. In contrast, the API approach allows for rapid deployment, often the same afternoon, making it ideal for teams focused on vertical-specific applications rather than voice infrastructure itself. Both paths ultimately lead to a functional voice agent, with the choice depending on whether speed or customization is more critical to the team's goals.