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QwryAI
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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

Activity

Review customer interactions, agent actions, and answer-improvement opportunities.

Review agent activity

Use Activity to inspect conversations and lead-form submissions. Start from an actual customer exchange when investigating an incorrect answer or an action that did not finish.

Investigate an exchange

  1. Select the agent and open its conversation activity or Inbox.
  2. Find the conversation by the available search and channel controls.
  3. Read the customer request, agent response, and any action messages.
  4. Check whether the issue concerns missing knowledge, unclear instructions, a failed action, or a human handoff.

Make a targeted correction

IssueNext step
Missing answerUpdate the relevant Data Source and confirm training.
Wrong tone or scopeRevise Instructions.
Action failureReview its configuration, inputs, response, and enabled channels.
Human support delayCheck ownership and availability.