How are you reducing the risk of hallucinations from ChatGPT models in your automation workflows?

Hey everyone 👋

I’m curious about how others are dealing with hallucination risks when integrating ChatGPT (or similar LLMs) into automation pipelines.

If you’re using it for tasks like content generation, what strategies or architectures have you found effective for reducing or detecting hallucinations?

Are you adding a specific sentence in your user message?

Would love to hear real-world examples or lessons learned.

Thanks :)