How can I make my AI project generate more natural responses and reduce hallucinations?
How can I make my AI project generate more natural responses and reduce hallucinations?
Hi everyone. I’m building my own AI assistant project called NERO. My goal is to make it feel more natural, reliable, and useful — not just a command-based chatbot.
Right now, I’m struggling with two main problems:
The responses still feel robotic or scripted sometimes.
It sometimes hallucinates or gives answers that are not based on my project files.
My current idea is to use:
A better intent/router system
RAG or project file retrieval
Memory for conversation context
Guardrails so it does not invent project facts
Testing with many normal questions and follow-up questions
For people who have built AI assistants, RAG systems, or local LLM projects:
What architecture or techniques actually helped you make responses more natural and less hallucinated?
Should I focus more on better prompts, better retrieval, better routing, evaluation tests, or something else?
Any advice, examples, or resources would really help. Thank you.