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Quick StartWelcome to QwryAI

Get started with QwryAI and discover how to build an AI support assistant trained on your business data.

Quick StartBuild Your First AI Agent

Create a support agent from your website, review its knowledge, and publish it to your site.

Quick StartBest Practices

Use these practices to improve answer quality, reduce failed handoffs, and keep your chatbot useful over time.

Quick StartResponse Quality

Improve how accurately and helpfully your chatbot answers customers.

AI Agent ManagementPlayground

Test and optimize your chatbot before deployment.

AI Agent ManagementData Sources

Add, train, and maintain the knowledge your agent uses to answer customer questions.

AI Agent ManagementDeploy

Add your chatbot to a website or ecommerce storefront.

AI Agent ManagementSettings

Choose the Copilot model, set a rate limit, and block spam and countries.

AI Agent ManagementEmail Settings

Configure email handoff and reply behavior for chatbot support workflows.

AI Agent ManagementLead Forms

Collect customer details directly inside the chat experience.

AI Agent ManagementIntegrations

Connect QwryAI with external platforms and business tools.

AI Agent ManagementDeveloper & Agent Access

Connect QwryAI to external AI tools, MCP clients, scripts, and CLI workflows.

AI Agent ManagementBackstage

Ask questions about your agent and workspace in a dedicated internal conversation.

AI Agent ManagementInstructions

Define your agent's behavior, guardrails, model, and response style.

AI Agent ManagementProcedures

Write a repeatable customer process with instructions, conditions, and actions.

AI Agent ManagementAction approvals

Review the exact input before an action performs a business write.

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Actions

Live Chat

Move from an AI conversation to a response from your support team.

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Overview

Live chat is the customer-facing part of a human support workflow. Configure Escalations to control how a conversation requests help, then manage the conversation and takeover in the support inbox.

Prepare the handoff

  1. Choose the support destination for escalated conversations.
  2. Configure the Escalations action with clear When to use and When not to use instructions.
  3. Decide when customer confirmation and contact details are needed.
  4. Enable the action on the channels your team monitors.
  5. Review assignment and scheduling with the team that will respond.

Respond as a teammate

Open the conversation in the support inbox, read the previous AI messages and collected details, and use the available takeover controls before replying. Check the conversation's current ownership and status so teammates can see who is handling it.

Set customer expectations

Describe your support hours and expected response in the messages customers see. Do not promise an immediate reply when the queue is unattended. For requests outside those hours, collect the information your team needs to follow up.

Test both sides

  • Request a human from the customer channel.
  • Confirm the request appears in the support workspace with conversation context.
  • Take over and send a test reply from the teammate interface.
  • Check that the customer receives it in the same conversation.
  • Verify the conversation status after the support interaction ends.