Test AI agents in multi-turn conversations. Detect edge cases, evaluate responses, and build regression suites.
Customer asking about order status
Customer requesting a refund
Upset customer escalation scenario
User asking about product details
Guiding user through problem diagnosis
Explaining product features
Multi-step resolution flow
Suggesting products based on needs
User requesting discounts
User comparing with competitors
Run a test to see the conversation
Inspired by Reddit r/artificial - "Built a tool for testing AI agents in multi-turn conversations"
Features: Scenario testing • Edge case detection • Regression suites • Multi-turn conversation analysis
Test AI agents with preset scenarios, role-play simulations, and safety checks. Generate detailed reports with quality, task completion, and safety scores. This page is built for people who want a fast path to a working result, not a vague prompt-and-pray workflow. If you need a more reliable first draft, cleaner output, or a repeatable workflow you can hand to a teammate, AI Agent Tester is designed to shorten that path.
Most visitors use AI Agent Tester because they need something specific done now: a deliverable, a decision, or a workflow checkpoint. The sections below show the fastest way to get value from the tool and the adjacent pages that help you keep going.
Test your AI agent's conversation skills systematically.
For anyone building or testing AI chatbots.
Test multi-turn conversation flows
Validate prompt effectiveness
Systematic testing for AI products
A strong outcome from AI Agent Tester is not just “some output.” It should be usable with minimal cleanup, aligned to the task you opened the page for, and specific enough that you can paste it into the next step of your workflow without rewriting everything from scratch.
If the first pass feels too generic, use the use cases, FAQs, and related pages here to tighten the scope. That usually produces better results faster than starting over in a blank chat.