Test Every User Flow Before Your Users Do
A 5-day comprehensive quality assessment of your GenAI application - 50-100+ test cases, hallucination benchmarks, edge case catalog, and a remediation playbook ranked by priority.
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The Application QA Sprint is genai.qa’s core engagement - a structured, 5-day quality assessment of your GenAI application that produces the test coverage and metrics baseline your team needs to ship with confidence.
What We Test
GenAI applications fail differently than traditional software. A chatbot that works perfectly in demos can hallucinate under real user conditions. A RAG system that retrieves correct documents can still generate unfaithful summaries. An AI feature that handles English inputs correctly can break on multilingual inputs. These are the failure patterns we systematically surface.
Functional correctness - Does the application produce correct, relevant, and helpful outputs for representative user queries? We test across the full range of intended use cases.
Hallucination rate - What percentage of responses contain fabricated facts, unsupported claims, or unfaithful summaries? We measure this across categories and provide specific examples.
Edge case behavior - What happens with unusual inputs, ambiguous queries, out-of-scope requests, and adversarial prompts? We catalog 20+ edge case failure scenarios with reproduction steps.
Output consistency - Does the application produce consistent outputs for semantically equivalent inputs? Inconsistency erodes user trust faster than occasional errors.
Why This Sprint Matters
Most GenAI teams ship without a quality baseline. They don’t know their hallucination rate. They don’t know which user flows are most vulnerable. They don’t know whether last week’s prompt change improved or degraded quality.
The Application QA Sprint gives you the numbers. A hallucination rate benchmark. An edge case catalog. A quality metrics baseline you can track over time. And a prioritized playbook that tells your engineering team exactly what to fix, in what order.
For teams shipping weekly, this sprint becomes the quality gate that separates deliberate shipping from crossing your fingers.
Book a free scope call to discuss your application’s specific testing needs.
Engagement Phases
Application Mapping & Test Design
Map all GenAI application flows, user scenarios, and integration points. Design test cases covering functional correctness, hallucination scenarios, edge cases, and output consistency.
Systematic Testing
Execute 50-100+ test cases across representative user scenarios. Benchmark hallucination rates, measure output accuracy, document edge case failures, and assess consistency across runs.
Analysis & Remediation Playbook
Deliver comprehensive test report with hallucination benchmarks, edge case catalog, quality metrics baseline, and prioritized remediation playbook.
Deliverables
Before & After
| Metric | Before | After |
|---|---|---|
| Test Coverage | Ad hoc manual testing with no systematic coverage | 50-100+ structured test cases covering all critical user flows |
| Hallucination Visibility | Unknown hallucination rate - discovered by users in production | Quantified hallucination rate with categorized failure patterns |
| Release Confidence | Every release is a risk - no quality baseline | Measurable quality baseline to track improvement over time |
Tools We Use
Frequently Asked Questions
What types of GenAI applications do you test?
Chatbots, copilots, RAG systems, content generators, code assistants, AI-powered search, and any application that uses LLMs to generate user-facing output. We test the complete application, not just the model.
What is the price?
USD 5,000 for a single application, USD 7,500 for application + API layer. Fixed-price, fixed-scope - no hourly billing or scope creep.
Can you test our staging environment?
Yes. We typically test against a staging or sandbox environment. We provide a detailed access requirements document during kickoff.
What do you need from our engineering team?
Minimal time investment - usually a 60-minute kickoff call, API access or demo environment credentials, and availability for async questions via Slack. We are designed to be low-friction for engineering teams.
Break It Before They Do.
Book a free 30-minute GenAI QA scope call. We review your AI application, identify the top risks, and show you exactly what to test before you ship.
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