have an n8n workflow that works very well as a WhatsApp customer service chatbot: • It’s connected to WhatsApp (Cloud API / webhook). • It’s integrated with OpenAI API for AI responses. • It saves chat transcripts to SQL. • It also sends the conversation by email. Right now, there is one main issue: When a customer sends multiple messages in a row (for example: “Hello” “I have a problem with my account” “This is my username…”), the bot answers each message separately, and it ends up bombarding the user with many replies. What I want: I want to improve the workflow so that: • The chatbot waits and collects all user messages for a short period (for example 5–15 seconds of inactivity, or configurable). • Then it sends ONE combined reply using OpenAI, instead of replying to every single message. • This should work per user / per chat session, not mixing different users. Requirements: • Strong experience with n8n (self-hosted) • Experience with WhatsApp Cloud API / webhooks • Familiar with OpenAI API (chat completions) • Comfortable working with SQL (the transcripts part is already working, just keep it compatible) Deliverables: • Updated n8n workflow (or new version) that: • Groups incoming messages from the same user for a configurable time window. • Sends one AI reply after the user finishes typing. • Avoids duplicate or spammy messages. • Short documentation or Loom/video / screenshots explaining: • What you changed. • Where I can change the “wait time” before replying. Please start your message with “n8n WhatsApp” so I know you actually read the description. Share any similar n8n / chatbot projects you’ve done before.