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👉 Sign up for LiveKit Cloud: https://cloud.livekit.io/signup?utm_s... Make your voice agent sound on-brand and survive provider outages. This lesson covers personality design, voice customization, and building fallback adapters for production resilience. Your agent can now listen naturally. Now it's time to make it sound professional and stay online when services fail. You'll learn how to craft system prompts that match your voice selection, configure custom voices, and set up automatic failover between providers. *What you'll learn:* How prompts and voices work together to create personality Selecting and configuring custom TTS voices Setting up fallback adapters for LLM, STT, and TTS Testing resilience with chaos engineering *What you'll build:* A distinct agent personality with matching voice Automatic failover between OpenAI and Google Gemini Multi-provider support for STT (AssemblyAI, Deepgram) Multi-provider TTS with Cartesia and Inworld Chaos testing to verify fallback behavior Production agents need to survive outages. With fallback adapters, when your primary provider fails, the session automatically retries with your backup provider. Your users never know anything went wrong. *Voice and prompt synergy tips:* Match phrasing to voice characteristics Keep replies under 3 sentences for lower latency Handle dialect differences (UK vs US English) Use emotion control sparingly This is lesson 3 of the LiveKit Voice Agents workshop series. Your agent will now have personality and production-grade resilience. 📚 Resources 📚 Agent docs: https://docs.livekit.io/agents/?utm_s... Written workshop: https://livekit.worksh.app/tutorials/... 🤝 Join the Community Slack: https://livekit.io/join-slack?utm_sou... #livekit #ai #voiceai