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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

Configure language, AI models, response behavior, and human support routing.

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.

Pages

AI Agent Management

Guardrails

Define response boundaries and check the agent’s behavior.

Set response boundaries

QwryAI Guardrails are instructions that describe response boundaries. Open Build → Instructions and edit Guardrails alongside the general instructions.

Write clear boundaries

State how the agent handles missing facts, private information, unsupported promises, and requests outside its role. Keep these rules consistent with the actions and escalation paths you have actually enabled.

Check the boundaries

  1. Save the instructions.
  2. Ask an ordinary supported question to confirm the rules do not prevent useful answers.
  3. Ask for an unknown release date or unavailable account information.
  4. Confirm the agent explains the limit and gives an appropriate next step.

Guardrail scope

Instruction guardrails guide AI behavior. Allowed Origins, provider permissions, and action approval policies are separate controls. This page does not describe a country-blocking or rate-limit editor; those controls are not exposed in the current Guardrails interface.