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Voiceflow is a collaborative platform for designing, prototyping, and deploying conversational AI agents and chatbots, built so that product managers, designers, and engineers can work on the same conversation flow together rather than the design living in a spec document disconnected from what actually gets built. Its visual canvas lets teams map out conversation logic, branching paths, and integrations with external APIs and large language models, while non-technical team members can contribute to and review the conversation design without needing to read code. Voiceflow supports both scripted, deterministic flows and more open-ended AI-driven responses powered by large language models, so a team can mix a tightly controlled flow for sensitive actions like refunds with a more flexible, LLM-powered flow for general questions within the same assistant. Built-in testing and prototyping tools let teams simulate conversations and catch broken flows before an agent goes live, and version history lets teams roll back or compare different iterations of an assistant's logic over time. Once built, agents can be deployed to a website widget, voice assistant, or messaging platform, and Voiceflow's analytics show where users drop off or get stuck in a conversation. It's used by product teams building customer-facing AI agents that need real design collaboration, not just a single engineer prompting a language model directly.