Skip to content
QwryAI
SupportDashboard
Documentation

Explore the documentation

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.

Tab to browse results Esc to close
Pages

Quick Start

Best Practices

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

View as MarkdownDocumentation index

Start with accurate sources

Use current product documentation, policies, and support answers. Remove conflicting copies and verify the source is trained before evaluating its answers. Give each page a clear subject and keep important facts close to the question they answer.

Define the agent’s boundaries

Describe who the agent helps, what it can answer, how it should respond when information is missing, and when to involve a teammate. Keep business facts in maintainable sources and behavior in Instructions.

Test as a customer

  1. Ask a common question in ordinary language.
  2. Ask a follow-up that relies on the previous message.
  3. Ask for a fact your sources do not contain.
  4. Exercise a real action and check the result outside the chat.
  5. Repeat the essential checks on mobile and the deployed channel.

Review and improve

Use conversations, feedback, and knowledge gaps to choose the next correction. Recheck the same scenario after saving a change. Keep a short record of the expected answer and actual outcome so improvements can be measured.

Response qualityKnowledge gaps