Get started with QwryAI and discover how to build an AI support assistant trained on your business data.

Create a support agent from your website, review its knowledge, and publish it to your site.

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

Improve how accurately and helpfully your chatbot answers customers.

Test and optimize your chatbot before deployment.

Add, train, and maintain the knowledge your agent uses to answer customer questions.

Add your chatbot to a website or ecommerce storefront.

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

Configure email handoff and reply behavior for chatbot support workflows.

Collect customer details directly inside the chat experience.

Connect QwryAI with external platforms and business tools.

Connect QwryAI to external AI tools, MCP clients, scripts, and CLI workflows.

Ask questions about your agent and workspace in a dedicated internal conversation.

Define your agent's behavior, guardrails, model, and response style.

Write a repeatable customer process with instructions, conditions, and actions.

Review the exact input before an action performs a business write.