Prompts
Prompts guide the agent’s decisions, defining how it interprets requests, responds, and selects actions.
Speech recognition, AI, knowledge, and speech synthesis work together to turn every call into a helpful conversation.
See how it worksVoiceBooker supports both a modular pipeline using STT, text-based LLMs, and TTS, and a direct speech-to-speech pipeline.
Caller speech
Real-time transcription
Text-based language model
Natural spoken response
Spoken response
Audio is understood directly and returned as a spoken response, without separate STT and TTS steps.
It connects speech, prompts, knowledge, and actions, then coordinates what happens next in the conversation.
Prompts guide the agent’s decisions, defining how it interprets requests, responds, and selects actions.
Callers can interrupt the agent at any time, creating a natural, human-like conversation flow. If a transaction is interrupted midway, the agent cancels it, retains the conversation context, and continues in response to the caller’s new input.
Combine speech, voice, and LLM models from different providers to tailor the architecture to your use case.
The powerful Node.js engine connects seamlessly to backend systems. State-based workflows reduce hallucinations, while natively executed code enables highly precise actions.
See how VoiceBooker answers calls, understands callers, and takes the right actions.