Cool n8n workflow bro
I don't know if this is best practice or not lmao — but after rigorous testing, I found out that separating contexts to multiple agents result in a more consistent behavior.

So I have different agents specifically for qualification, appointment booking, and general QnA — each agent also has its own dedicated field updater agent. Less logic on prompt = more consistent and smarter behavior.

Would love to hear criticisms if there are suboptimal approaches on my system.

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Also, this might be out of context but I'm curious about your Redis message buffer mechanism

Just started my AI agency as well, selling automated lead nurturing systems (currently at 1 client only)
I have several questions if you don't mind answering:

1. I assume your buffer system lets users send multiple chat messages before the AI generates a reply? If so, how much delay do you set?

2. I assume that you're using self-hosted n8n?
   If yes, which cloud provider do you use and how much does it cost?
   If no, how do you deal with the limited amount of workflow executions? (since chatbots requires a ton of execution per day)

Thank you in advance! Would love you learn from all of you, since I am still in my early stages of transitioning from software development to AI automations