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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.

Pages

Actions

Actions overview

Give your AI agent tools to retrieve information, complete tasks, and show interactive experiences.

Overview

Actions extend a conversation beyond an answer. Your agent can call a business API, run a function on your website, offer a booking, collect details, or display a widget. Configure actions for the selected chatbot from AI Actions.

Available actions

ActionWhat it does
Custom actionsCall an API, run client-side code, call an API and show a widget, or show a widget without an API.
CalOffer a Cal.com event and configure its time display.
CalendlyOffer scheduling with your connected Calendly configuration.
Web searchSearch public information, optionally restrict domains, and include images.
EscalationsRoute a request to a configured human support workflow.
Collect leadsCapture customer details for follow-up.
Collect dataGather custom details in the conversation or with a form widget, and review them in Activity → Collected data.
Custom formCollect a structured set of fields inside the conversation.
ShopifyUse the store actions available to your connected Shopify account.
StripeShown as Coming soon in the create-action catalog; it cannot be connected there yet.

Create an action

  1. Open your chatbot and go to Build → Actions.
  2. Choose Create action and select the action you want to configure.
  3. Give it a clear name and explain when the agent should use it.
  4. Complete its inputs, integration settings, request, or widget, as applicable.
  5. Test the action and select the channels where it should be available.
  6. Save the draft, then use Save & enable when it is ready for conversations.

When actions run

When to use describes the customer intent that should cause the AI to select an action. For example: use the order lookup when a customer asks for delivery progress and supplies an order reference. Be specific about the outcome and any information that must be collected first.

Show widget actions can also use automatic website triggers: Visit, Delay, Scroll, and Chat opened. These structured triggers are configured separately from the instructions the AI reads.

Manage actions

My actions contains your saved actions. Reopen an action to update its configuration, check its status, or disable it. Saving a draft and enabling an action are separate steps: confirm its enabled state before expecting it in a customer conversation.

Choose distinct instructions for actions with similar purposes. If two actions both claim every support request, the agent has less information to choose between them.

Next steps