#Yo has there been any detailed best practice tutorials or documentation for using conversational ag

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indigo portalBOT
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AI-generated Answer for 1030

Short answer: yes. ElevenLabs has official, detailed docs and tutorials that cover agent workflows, best practices, testing, and real-world implementation. The most useful places to learn, in order:

  • Quickstart: create and configure your first agent, connect tools/KB, and review analytics. (elevenlabs.io)
  • Workflow features
    • Agent-to-agent transfer: configure the transfer_to_agent system tool with rule-based handoffs and API examples. (elevenlabs.io)
    • Agent-to-human transfer: transfer_to_number (Twilio/SIP), conference vs SIP REFER, rule conditions, and code samples. (elevenlabs.io)
    • Post-call webhooks: receive transcripts/analysis or full audio; security (HMAC, IP allowlist); upcoming payload migration. (elevenlabs.io)
  • Tools (how agents call actions)
    • Overview of client, server, and system tools and when to use each. (elevenlabs.io)
  • Testing and analysis
    • Simulate Conversations: end‑to‑end simulation and evaluation via SDK and simulate endpoints. (elevenlabs.io)
    • Agent Testing: scenario tests and tool‑call validation; CLI integration for CI/CD. (elevenlabs.io)
    • Agent Analysis: success evaluation and structured data collection; integrates with post‑call webhooks. (elevenlabs.io)
  • Best practices
    • Conversational agents best‑practices (streaming, interruptions, multi‑context orchestration), plus a full example. (elevenlabs.io)
    • Prompting guide for agent behavior/guardrails/tools; highly actionable patterns. (elevenlabs.io)
    • Conversational voice design best‑practices (voice selection, markup, limits). (elevenlabs.io)
  • “Agents as code” (for larger workflows/environments): ConvAI CLI to version, sync, and test agents locally and in CI. (elevenlabs.io)
  • Case study/tutorial: how ElevenLabs built our documentation agent end‑to‑end (prompting, RAG, tools, evaluation). (elevenlabs.io)

Note on “Workflows (Beta)”: as of September 11, 2025, the public site shows a visual multi‑agent workflow builder as “Coming soon.” Today, workflow capabilities are documented and available via system tools (agent/human transfer) and post‑call webhooks, plus testing/analysis features. (elevenlabs.io)

fickle wasp
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Those look like sales pages. I want to find the best info there is specifically to help prompt conversational agents workflow (beta)

indigo portalBOT
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AI-generated Answer for 1030

Here are the most useful, non‑marketing resources ElevenLabs provides for prompting Conversational Agents:

  • Primary prompting guide:

    • Conversational AI voice agent prompting guide — defines the six building blocks (Personality, Environment, Tone, Goal, Guardrails, Tools), shows example prompts, formatting tips, and an iterate-and-evaluate loop. It also clarifies that the system prompt controls behavior/style, while turn‑taking and similar mechanics are handled by the platform. (elevenlabs.io)

  • Where the prompt fits in the agent:

    • What you can create with ElevenLabs Agents — shows the configurable pieces (voice, first message, system prompt, LLM choice, knowledge base, optional RAG), so you know what to express in the prompt vs. what to configure elsewhere. (help.elevenlabs.io)

  • Tools (so your prompt can direct real actions):

    • How to use tools with Agents — explains Client Tools, Webhooks, and System Tools, and that the agent will choose among allowed tools during conversation. Useful when your prompt instructs “use the X tool to…” (help.elevenlabs.io)

  • Workflow-specific handoffs:

    • Agent‑to‑agent transfer — shows how to design multi‑agent workflows and programmatically transfer to a specialist agent when conditions are met (e.g., qualification then handoff). Your prompt can define the transfer criteria and escalation behavior. (elevenlabs.io)

  • Testing and refining prompts:

    • Simulate conversations — run batch/streaming simulations with evaluation criteria to iterate on your system prompt before going live. (elevenlabs.io)

Practical prompt checklist (from the prompting guide):

  • Structure your system prompt with clear sections: Personality, Environment (channel/noise), Tone, Goal, Guardrails, Tools. Use headings/bullets; keep only what affects behavior. (elevenlabs.io)
  • Put guardrails in writing (what to avoid, how to decline, when to escalate), and keep “don’t guess; acknowledge uncertainty” explicit. (elevenlabs.io)
  • If your agent should act, reference the allowed tools in the prompt (“use the calendar webhook to book…”), and expose those tools in the agent config. (elevenlabs.io)
  • For workflows, define transfer conditions in the prompt (e.g., “if billing issue → transfer to Billing Agent”) and implement agent‑agent transfer in config/API. (elevenlabs.io)
  • Evaluate and iterate using simulation runs with success criteria (accuracy, task completion, sentiment); refine one section at a time. (elevenlabs.io)

If you want, share your use case and I can translate it into a system‑prompt skeleton

somber osprey
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Hey