AI Agent Management

Playground

Test and optimize your chatbot before deployment.

Documentation Index

Fetch the complete documentation index at: /llms.txt

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

Playground is the safest place to test how your chatbot will respond to customers. Use it before deployment, after every major source update, and whenever analytics or knowledge gaps show weak answers.

QwryAI Playground workspace
The Playground shows the selected chatbot in a controlled testing environment.
  • Use realistic questions from customers.
  • Validate the answer, tone, escalation behavior, and lead form timing.

What to Test

  • Common customer questions
  • Policy and product edge cases
  • Requests for a human agent
  • Lead form triggers
  • Escalation behavior
  • Prompt or model changes
  • New or updated data sources
Test typeWhat to verify
Common questionsAnswers are accurate, direct, and grounded in source content.
Edge casesThe chatbot asks for missing details instead of assuming.
Human handoffEscalation stops AI replies when agent judgement is required.
Lead formsThe form appears only when the visitor is qualified or needs follow-up.

Run a Test Conversation

  1. Open the workspace and select the chatbot.
  2. Open Playground.
  3. Ask a real customer question.
  4. Read the answer for accuracy, tone, and confidence.
  5. Update data sources or instructions when the answer is weak.
  6. Ask the same question again after each change.
QwryAI Playground conversation test
Retest the same customer question after changing sources or settings.
  • A good answer should be specific, grounded, and clear.
  • If the chatbot cannot answer, it should ask for context or escalate.

Deployment Checklist

  • Common questions are answered correctly.
  • The chatbot does not invent unavailable details.
  • Escalation works when human support is needed.
  • Lead forms appear at the right moment.
  • Brand voice and tone feel consistent.
  • The selected chatbot matches the site where it will be deployed.