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Documentation Index

Fetch the complete documentation index at: https://docs.iwy.ai/llms.txt

Use this file to discover all available pages before exploring further.

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Quickstart with iwy.ai

This guide will walk you through creating your first conversational AI agent. The entire process takes less than 30 seconds from signup to live agent.

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Step 1: Create Your Account

Visit app.iwy.ai and sign up.
No credit card required to get started. You’ll receive free credits to test your first agent.

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Step 2: Configure Your Agent

Once logged in, you’ll see the agent configuration dashboard. Configure your agent across four layers:

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Character & Appearance

  • Choose an Avatar: Select from pre-made characters or bring your own
  • Animation Style: Choose between avatars ranging from photorealistic humans to animated characters

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Voice & Speech

  • Select a Voice: Choose from hundreds of natural-sounding voices
  • Language: Set primary language or enable multi-language support

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Intelligence & Personality

  • LLM Model: Choose between OpenAI, Anthropic, Google Gemini and more providers based on your needs
  • Personality: Define your agent’s conversational style and expertise
  • System Prompt: Write instructions that guide your agent’s behavior
  • Knowledge Base: Integrate custom information your agent should know about
  • Tools: Connect external APIs and services to give your agent new abilities.
  • MCP: Use the Model Context Protocol to standardize how your agent uses tools.

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Listening & Understanding

  • Speech Recognition: Configure accuracy and language detection
  • Context Memory: Set how much conversation history to remember
  • Intelligent Interruption Handling: Allow users to interrupt the agent naturally. Configurable.

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Step 3: Deploy Your Agent

Once satisfied, deploy your agent. For detailed instructions on each method, see the following pages:

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Next Steps

Now that your agent is live:
  1. Share the URL with users to start conversations
  2. Monitor usage in the dashboard to track performance
  3. Iterate and improve based on user feedback
  4. Scale up by adding more agents for different use cases

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