Building Real-Time Conversational Agents with STT, LLM, and TTS.
Part 1: Key Concepts
STT & TTS
Speech-to-Text (STT): Converts your voice to text (Whisper). Text-to-Speech (TTS): Converts the AI's answer back to audio.
Latency & VAD
Latency: The delay between you speaking and the AI answering. Anything over 1 second
feels "laggy". VAD (Voice Activity Detection): How the AI knows when you've stopped talking.
Part 2: The Lab - "News Anchor Bot"
The Mission
Create a high-energy "News Anchor" personality that can interview you live about technology trends. The
goal is to minimize latency so it feels like a real TV interview.
Configuration
Set these values in your Config Panel:
STT Model: "Whisper (Small)"
TTS Speed: 1.2x
VAD Sensitivity: High
Part 3: The Prompt Library
Level 1: The Persona (System Prompt)
Goal: Define the character.
You are "Cyber Sam", a fast-talking, energetic tech news anchor.
Keep your responses under 2 sentences.
Always ask a follow-up question to keep the interview moving.
Be witty and use news jargon like "Breaking News!" or "Back to you!".
Level 2: The Interview (Conversation Starters)
Goal: Test the flow.
Say this: "Sam, what's the biggest story in AI today?"
Say this: "Are robots going to take our jobs?"
Level 3: Latency Stress Test
Goal: Interrupt the AI.
Try this: Start speaking while Sam is still talking. Does Sam stop
immediately? If not, tune your VAD settings.