I will test your ai agent or chatbot for hallucinations, prompt injection and bugs

You built an AI agent or chatbot. But does it actually work under pressure - or does it hallucinate, leak instructions, and break the moment a user goes off-script?

I test AI agents, chatbots, and LLM-powered features so you find the failures before your users do. What I check:

• Hallucinations and factual accuracy
• - Prompt injection and jailbreak attempts
• - Broken tool calls and function calling errors
• - RAG accuracy (does it retrieve and cite the right context?)
• - Edge cases, adversarial inputs, and conversation flow breaks

You get a clear pass/fail report with reproducible examples, not vague feedback. On the Premium plan I build an automated pytest evaluation suite wired into your CI, so every prompt change gets tested automatically before it ships.

I also build these systems myself (Python, LangChain, Telegram/API bots), so I know exactly where they tend to break.

Send me your agent and let's find out what it's really made of.