For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
Login
HomeDocsAPI ReferenceMCP ServerChat SDKsRelease Notes
HomeDocsAPI ReferenceMCP ServerChat SDKsRelease Notes
  • Welcome
    • Getting started
    • Key concepts
    • Dashboard navigation
    • Agent logic
    • Improvement tactics
  • Knowledge
    • Content ingestion
    • Article management
  • Automation
    • Actions
    • Processes
    • Playbooks
    • Proactives
    • Greetings
    • Custom Instructions
    • Variables
  • Setup
    • Persona
    • Languages
    • Redactions
  • Handoffs
    • Handoff management
    • Salesforce
    • Zendesk
  • Channels
    • Chat
    • Voice
    • Email
    • Social
    • Third party
  • Optimization
    • Testing
      • Interactive Testing
      • Simulations
    • Conversations
    • Coaching
Login
LogoLogo
Optimization

Testing

Overview
Not sure where to begin? Explore our Getting started guidelines to set up your first AI Agent, review Key concepts to understand the essentials, or check out Improvement tactics to resolve issues and keep things running smoothly.

Testing plays an important role in building a reliable AI Agent and is a key concept in Ada.

Before getting started to test your AI Agent, make sure its core elements—like Knowledge, Actions, and Processes—are in place. Other core features may also apply depending on your setup. To learn more, see the Getting started section.

This section covers two approaches to testing:

  • Interactive Testing: Interact with your AI Agent in real time to experience responses as an end user would. You’ll learn how to get started with testing, open the test chat in a new window or browser, impersonate different user types, and reset or end a test chat.

  • Simulations: Create and run test cases to understand how changes to your AI Agent configuration impact behavior. Define expected outcomes, run simulations against your AI Agent, and review pass/fail results with detailed rationale.


Have any questions? Contact your Ada team, or email us at help@ada.cx.

Previous

Interactive Testing

Next
Built with