Welcome to QwryAI - User Guides

Documentation Index

Fetch the complete documentation index at: /llms.txt

Use this file to discover all available QwryAI pages before exploring further.

Why Choose QwryAI?

Smart & Trainable

Train your AI agent with websites, products, FAQs, documents, and support policies for grounded responses.

Easy Deployment

Embed the widget on your website, then verify the live customer experience before launch.

Lead Generation

Capture names, emails, phone numbers, and custom fields directly inside the chat flow.

Powerful Analytics

Track conversations, knowledge gaps, tickets, activity, and usage from one workspace.

Help Desk Ready

Review conversations, assign work, create tickets, and manage human handoff.

Deploy Everywhere

Connect supported web, messaging, ecommerce, email, and automation channels.

How QwryAI Works

QwryAI helps ecommerce and support teams launch an AI chatbot that answers customer questions, captures leads, and escalates conversations to a human team when needed. The workspace is organized around the full lifecycle: train the chatbot, test it, deploy it, monitor conversations, and improve answers over time.

A QwryAI chatbot uses the data you provide to answer customer questions. When the chatbot cannot answer confidently, it can guide the customer to a lead form, hand the conversation to an agent, or create follow-up work for your team.

Add business knowledge from websites, documents, products, and FAQs.
Test real customer questions in Playground before going live.
Deploy the widget to your storefront or website.
Monitor conversations, tickets, knowledge gaps, and analytics after launch.

QwryAI dashboard with chatbot and analytics navigation — Start from the dashboard to move between setup, help desk, analytics, and workspace management.
Use the sidebar to find chatbot setup, conversations, tickets, analytics, billing, and settings.
Confirm you are in the correct workspace before changing chatbot configuration.

Deploy only after the chatbot has been trained and tested with realistic customer questions.

Copy the embed script from Deploy.
Open your live site after publishing and send a test message.

Customer Support Workflow

After deployment, customer conversations appear in QwryAI. Your team can review AI-handled chats, pick up escalated conversations, assign ownership, add internal notes, and create tickets for issues that need follow-up.

QwryAI conversations inbox — The inbox organizes live and historical conversations by unread state, assignment, escalation, and support ownership.
Start with escalated and unread conversations.
Open a conversation to see messages, customer context, notes, and linked tickets.

Ready to get started?

The fastest path is to create your first chatbot, add a small set of high-quality source content, test it in Playground, and deploy it after the main questions are answered correctly.

Step	Goal
Train	Add accurate text sources for the questions customers ask most often.
Test	Use Playground to check answer quality, tone, and escalation behavior.
Deploy	Publish the widget only after a live-site test confirms the correct chatbot appears.
Improve	Review analytics, conversations, and knowledge gaps after launch.