#Hi,Testing a hindi AI voice agent. following issues. 1. Skips the initial introduction/questions

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ocean flameBOT
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AI-generated Answer for niranjan_20946

Thanks for the detailed report. Here are the specific ElevenLabs settings and docs-backed steps to address each point:

  1. Intro skipping
  • Set a clear First message and keep it short; this is the first thing your agent will speak on every call. You can also override it per call if needed. (elevenlabs.io)
  • Temporarily disable Interruptions during the introduction so background sounds or early speech don’t cut the intro off. Re‑enable after the intro if you want barge‑in. (elevenlabs.io)
  • If you’re receiving inbound calls via Twilio, use the Twilio personalization webhook to inject caller context (e.g., name) so the intro is personalized and explicit about the call purpose. (elevenlabs.io)
  1. Background noise and non‑verbal sounds being misinterpreted
  • Reduce false barge‑ins by disabling Interruptions or limiting them to after the intro; tune Turn Timeout so the agent waits a bit longer before reprompting in noisy environments. (elevenlabs.io)
  • In your system prompt, add an instruction to ask for clarification when unsure and to ignore non‑speech events; see the Prompting guide’s “Goal” and “Guardrails” patterns. (elevenlabs.io)
  • ElevenLabs STT (Scribe v1) can tag non‑speech audio events (e.g., laughter/applause) in transcripts; use post‑call transcripts to verify where mis-triggers occur and refine prompts/timeouts. (elevenlabs.io)
  1. Comprehension issues (e.g., age not captured)
  • In the system prompt, specify explicit collection steps and confirmation (e.g., “Ask for age in digits, then repeat back to confirm”). This is the recommended way to enforce structured flows. (elevenlabs.io)
  • Increase Turn Timeout slightly to allow users time to respond before the agent reprompts or ends that step. (elevenlabs.io)
  1. Survey flow ends too early or lacks probing
  • Add the End call system tool only with strict conditions (e.g., “Call may end only after all survey questions are asked and confirmations completed”). (elevenlabs.io)
  • Use the Prompting guide’s “Goal” section to list each survey step and required confirmations so the LLM follows the full path and probes on incomplete answers. (elevenlabs.io)
  • Keep Interruptions off while asking critical scripted questions to avoid premature transitions. (elevenlabs.io)
  1. Low response/short call duration
  • Enable Voicemail detection to avoid wasting attempts on voicemail and to optionally leave a concise message; this improves effective connect rates. (elevenlabs.io)
  • Personalize opens via Twilio personalization (e.g., “Hi <Name>, calling about <Topic>”) or via per‑call overrides of first_message/system_prompt to increase engagement. (elevenlabs.io)
  • Use the Agents Dashboard analytics and Language Breakdown to monitor call
thick steppe
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hey curious what LLM model you're using and seeing these issues?

ocean flameBOT
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AI-generated Answer for mikegreen7585

Short answer: It depends on what you selected for your agent.

  • ElevenLabs Agents lets you choose the LLM. You can pick models from OpenAI, Anthropic, or Google, or connect your own custom LLM/server. (help.elevenlabs.io, elevenlabs.io)
  • If you haven’t supplied your own keys and selected a provider, ElevenLabs uses its own internal credentials for popular models like OpenAI. (elevenlabs.io)
  • To confirm which model your agent is using, open your agent and check the LLM selection in the agent’s configuration (Customization > LLM). (elevenlabs.io)
  • You can swap models at any time; the platform is designed to work with “an LLM of your choice.” (elevenlabs.io)

If you share the LLM currently set for your Hindi agent, I can point you to model-specific tuning steps.

Sources:
What can I create with ElevenLabs Agents (formerly Conversational AI) – ElevenLabs
Large Language Models (LLMs) | ElevenLabs Documentation
Integrate your own model | ElevenLabs Documentation
Large Language Models (LLMs) | ElevenLabs Documentation
Introducing Conversational AI | ElevenLabs