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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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AI Performance & Quality

Response Quality

Improve how accurately and helpfully your chatbot answers customers.

Improve response quality

Good answers depend on accurate sources, clear instructions, a suitable model, and working actions. Change one of these at a time so you can tell what improved.

Choose the right correction

Observed problemCorrection
Missing or outdated factUpdate the source and confirm it is trained.
Wrong tone or answer scopeClarify the agent instructions.
Missing account or order informationUse an authenticated action with the necessary data.
A failed actionCheck the action result, inputs, provider connection, and channel.
Invented detailTell the agent how to handle unknown information and give it a supported escalation path.

Compare real scenarios

  1. Write representative questions from your actual support workflow.
  2. Record the expected facts and the source that supports each one.
  3. Test the same questions before and after a change in a fresh conversation.
  4. Check correctness, completeness, useful links, action results, and the point where a human is needed.