AI Assistants Overview

Assistant Modes

Understand the two voice generation modes available for your AI assistants and when to use each one.

AI assistants on OtoniStark can speak in two distinct modes. Each mode determines how a caller’s speech is understood and how the assistant’s reply is generated:

1. Pipeline

Pipeline mode first transcribes the caller’s words into text, runs that text through the language model, then converts the response back to audio. It’s a tried-and-true approach that offers maximum flexibility:

• Supports all voices in the library (including custom-cloned voices).
• Handles long-form answers or paragraph-style responses well.
• Allows the LLM to inject variables and reference earlier context cleanly.

When to choose Pipeline

1. You need rich, multi-sentence answers (e.g. support queries, detailed explanations).
2. The assistant must reason over structured data or complex prompts.
3. You prefer absolute control of the spoken voice (clone or brand voice).

2. Speech-to-Speech (Multimodal)

Speech-to-speech mode skips separate transcription and TTS. Instead, it uses a multimodal model that listens and speaks directly, producing more conversational flow:

• Fast turn-taking – callers experience near-instant responses.
• Generates more expressive prosody natively (intonation, fillers).
• Currently supports a limited voice set, but more are added regularly.

When to choose Speech-to-Speech

1. The conversation needs to feel snappy (sales, booking confirmations).
2. Your replies are generally short sentences or quick acknowledgements.
3. You’re okay with the system-provided voice options for faster interaction.

Switching modes

You can pick the mode for each assistant in Assistant → Settings → Voice Engine. Test both modes to see which delivers the best balance of speed and quality for your use-case.

Pro Tip: Record two calls – one in each mode – and compare the caller’s perceived latency and engagement level to decide which fits your flow.