Hi everyone, I’ve been building a WhatsApp assistant in n8n to help manage consult bookings. The workflow allows users to:
Schedule a consult
Cancel/remove a consult
Ask general questions
It works with AI agents integrated into the flow, but I’ve noticed some reliability issues. For example:
Sometimes the assistant “hallucinates” and gives wrong dates or answers.
Other times the AI doesn’t actually use the tools or nodes it’s supposed to (for instance, skipping the booking logic and just replying directly).
Since this is meant for real consult scheduling, I’m concerned about whether this type of solution is stable enough for production or even selling to clients. So my questions are:
Has anyone here built similar AI-powered assistants with n8n?
How do you ensure reliability when the AI might ignore tools or generate incorrect info?
Are there strategies for adding guardrails, validations, or hybrid logic to keep the workflow on track?
I’d love to hear your advice, experiences, or best practices on making something like this production-ready. Thanks a lot!
Hey @Afonso_Barros hope all is good. Welcome to the community.
Your assistant is as reliable as your prompt. Prompts differ. I’ve seen both - from meticulous and exhaustive behaviour plan to “get the text and make it better”. Don’t want hallucinations and arbitrariness? Lower the temp, instruct the agent to stick to the facts. Want the agent to always use tools? Instruct it to always use a tool and how to act where there is no information to provide to the tool. You build the agent and you build the safeguards around it. There is no magic, it will do what you tell it to. You can also run your agent through a series of tests to verify the behaviour and to make sure it produces consistent results with sufficient reliability.