I will test your ai chatbot, generative ai tool, API and llm
Technical Consultant, IT Solutions Expert
About this Gig
Is your AI app giving inaccurate results, hallucinating, or breaking under complex prompts?
Testing AI is fundamentally different from traditional software QA. It requires a strategic approach to validate data models, prompt handling, and APIs to ensure your tool is reliable and safe.
As an experienced QA Engineer and technical Team Lead, I specialize in the quality assurance of AI-driven applications, LLMs, and intelligent chatbots. I bring a senior-level perspective to identify edge cases that standard testing often misses, ensuring your AI integrations remain robust and secure.
What I Will Test:
- Prompt Logic: Validating inputs against extreme edge cases and prompt injections.
- Output Accuracy: Identifying hallucinations and ensuring factually correct, safe responses.
- API Validation: Testing connections between your frontend and AI models (OpenAI, custom LLMs) for fast, secure data flow.
- UI/UX & Functionality: Comprehensive cross-device bug hunting.
Deliverables:
- Detailed professional QA report (steps to reproduce).
- Screen recordings & screenshots of anomalies.
Let's make your AI application bulletproof. Message me before ordering!
Testing application:
Software
Device:
PC
•
iPhone
•
Android mobile phone
My Portfolio
FAQ
What kind of AI applications do you test?
I test a wide range of AI applications, including LLM integrations (like OpenAI, Claude and Gemini), custom AI chatbots, generative AI tools, and AI-driven internal business software. Whether it's a web app or a mobile interface, I can validate both the frontend and the AI backend.
How is AI testing different from normal QA?
Traditional QA looks for predictable Pass/Fail results. AI testing involves checking for "hallucinations" (false info), handling unpredictable outputs, prompt injection vulnerabilities, and ensuring the AI logic aligns with your business rules.
Do you test the API connections as well?
Yes, absolutely. A major part of AI applications relies on APIs to communicate with language models. I perform deep API testing to ensure data is passing securely, quickly, and accurately between your frontend and the AI model.
What will I receive in the final delivery?
You will receive a comprehensive, professional QA report. It will include detailed steps to reproduce any bugs, edge-case analysis of your AI's responses, and visual proof (annotated screenshots and screen recordings) for complete clarity.
What do you need from me to start testing?
I will need the URL or access link to your application (Firebase/Testflight) any specific test credentials (if a login is required), and a brief overview of what the AI is supposed to do (its core purpose and limitations). If you have specific API documentation, that is always a plus!

