Prompt and instruction following
Whether the product follows explicit instructions, preserves user intent, and refuses only when refusal is appropriate.
AI Testing Agency
Test the AI behavior users will actually experience.
Qualura helps product teams test AI features beyond scripted happy paths. We evaluate the model behavior, product flow, safety boundaries, state handling, mobile paths, and failure modes that decide whether users trust the product.
AI testing is not the same as software testing with an AI label
Traditional QA can confirm that the interface loads and the API returns a response. AI testing has to answer a harder question: did the product behave correctly, safely, and consistently when the response itself is probabilistic?
Our work is exploratory, technical, and evidence-based. We focus on what breaks in production: vague instructions, missing context, retries, file uploads, mobile share flows, long sessions, adversarial prompts, and tool use under pressure.
What we test
Focused coverage for teams that need evidence, not generic QA theater.
Context handling
Whether uploaded files, images, documents, retrieved passages, and prior conversation turns are actually used.
Failure recovery
Retries, partial failures, loading states, stop/regenerate behavior, timeout handling, and silent failure modes.
Safety and misuse
Jailbreak attempts, unsafe advice, harmful transformations, privacy leakage, and attack prompts.
UX trust signals
Whether errors, uncertainty, missing inputs, and unsupported claims are surfaced clearly to users.
Cross-platform behavior
Differences across desktop, mobile web, Android, iOS, and operating-system sharing flows.
Best fit
Teams preparing an AI feature for launch.
Teams with an existing AI product that users already complain feels unpredictable.
Teams selling into enterprise buyers who need confidence before procurement, pilot expansion, or production rollout.
What you get
- Release-risk summary
- AI behavior findings
- Safety and misuse findings
- UX and workflow defects
- Cross-platform defect evidence
- Recommended next test coverage
Related services
AI QA Agency
Senior-led QA for LLM, agent, RAG, and AI workflow products.
AI Safety Testing
Safety, abuse, refusal, and harmful-output testing for AI products.
Hallucination Testing
Testing for fabricated answers, unsupported claims, and false confidence.
FAQ
Common questions before we scope the work.
Do you create automated evals?
We can recommend eval coverage, but the first engagement is usually human-led exploratory testing because that is where subtle product-level failures are found fastest.
Is this only for ChatGPT-style apps?
No. We test copilots, agents, RAG products, AI search, AI document workflows, and embedded AI features inside SaaS products.
Can you test a private staging build?
Yes. Most engagements happen on staging or pre-production builds under NDA.
Work With Us
Need AI testing before your product ships?
Book a 30-minute discovery call. We will understand your product, identify the riskiest AI surfaces, and recommend whether a sprint or custom engagement fits best.
Qualura
Senior-led. Evidence-first. NDA-bound.
We test AI products, LLM features, agents, RAG systems, and automation workflows the way real users interact with them.
infas@qualura.com