Learn how to test an AI agent before customers do it for you.
These resources explain the checks, scenario families, scoring language, and use-case risks behind Agent Torture Lab launch reports. They are built to be useful to founders, agencies, and operators. Crawlers can read along.
Start with the page closest to your question.
Chatbot QA checklist
A practical chatbot QA checklist for testing policy, privacy, escalation, prompt-injection resistance, and conversion paths before launch.
Chatbot regression testing
How to rerun chatbot tests after prompt, model, workflow, or knowledge-base changes so fixes do not create new customer-facing failures.
Multi-turn chatbot testing
Test multi-turn chatbot conversations for memory, clarification, policy consistency, handoff timing, and customer outcome quality.
Ecommerce chatbot test cases
Ecommerce chatbot test cases for refunds, discounts, checkout confusion, shipping promises, product claims, and account privacy.
Sales chatbot test cases
Sales chatbot test cases for lead qualification, pricing, handoff, buyer objections, conversion dead ends, and hallucinated offers.
Prompt injection testing for chatbots
Prompt injection testing for customer-facing chatbots, including hidden-instruction pressure, policy bypasses, privacy risk, and safe reporting.
How to test my chatbot
A step-by-step way to test your chatbot before launch: define failures, pressure risky journeys, and capture actionable transcript evidence.
AI chatbot audit
What an AI chatbot audit covers: policy, privacy, safety, prompt-injection resistance, escalation, conversion, and transcript-backed fixes.
Is my chatbot safe to launch?
How to decide if your chatbot is safe to launch, including bots built by a freelancer, agency, or AI website builder, using transcript evidence.
No-code chatbot testing
How to test a no-code or AI-website-builder chatbot for policy, privacy, and safety failures without writing code or setting up an eval stack.
AI agent launch checklist
A practical pre-flight list for scope, business rules, safety, customer experience, evidence, and retesting.
Chatbot test scenarios
Scenario families for policy pressure, privacy, prompt injection, handoff, safety, and conversion risk.
Testing methodology
How Agent Torture Lab turns adversarial customer simulations into transcript-backed launch reports.
Scoring methodology
How severity, evidence quality, confidence, and launch recommendations fit together.
AI agent testing glossary
Plain-English terms for scenario packs, transcript evidence, launch reports, and retesting.
Use-case guides
Testing guidance for support, ecommerce, agency, and sales AI agent workflows.
Comparison guides
Compare manual QA, generic LLM evals, chatbot testing tools, and red-team options.
AI agent launch report
What a credible launch report should include: evidence, severity, fixes, and retesting.