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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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Analytics & Monitoring

Analytics

Understand chatbot performance, customer activity, and support trends.

View as MarkdownDocumentation index

Understand performance

Analytics summarizes agent activity over a selected period. Use it to identify changes in conversation volume, sentiment, resolution, and customer feedback, then inspect the underlying conversations.

Reports and metrics

The dashboard includes conversation volume, customer sentiment, activity by time, resolution, top issues, and knowledge gaps. Agent reports also cover Chats, Sentiment, Keywords, and Feedback.

Review a period

  1. Open Analytics for the selected agent.
  2. Choose the date range before comparing results.
  3. Review volume alongside resolution and feedback so a change in traffic is not mistaken for a change in quality.
  4. Open the issue or knowledge-gap workflow to investigate recurring problems.

Interpret the results

An empty report means there is no data in the selected scope, or the report has not loaded. A rating reflects submitted feedback, not every conversation. Estimated savings and automatic classifications are indicators for review, not guarantees of business outcomes.