WhatsApp + n8n Automation with Human‑Like Chatbot
Budget: $250 – $750 USD
I’m launching a test product for a client and need a seasoned partner to set up a WhatsApp + n8n automation system with an interactive chatbot knowledge base. This is a fixed‑scope project, not hourly work.
The pilot build should include:
• Custom n8n workflows that listen to incoming WhatsApp messages.
• Human‑like responses: the chatbot must write back as if it were a real person, with a natural delay before sending (not instant machine replies).
• Knowledge center with memory: both short‑term (conversation context) and long‑term (persistent knowledge) so responses improve over time.
• Optimization focus: the system should be able to refine tone, style, and accuracy continuously.
To evaluate fit, please provide:
• A brief overview of similar WhatsApp or n8n automation projects you’ve delivered, especially with chatbot integrations.
• Your project price (not hourly) and how you would structure milestones.
• Your availability for a short video call this week to discuss technical details.
This is a test product, but it needs to be robust enough to simulate a real person’s communication style while giving us room to iterate and optimize.
The pilot build should include:
• Custom n8n workflows that listen to incoming WhatsApp messages.
• Human‑like responses: the chatbot must write back as if it were a real person, with a natural delay before sending (not instant machine replies).
• Knowledge center with memory: both short‑term (conversation context) and long‑term (persistent knowledge) so responses improve over time.
• Optimization focus: the system should be able to refine tone, style, and accuracy continuously.
To evaluate fit, please provide:
• A brief overview of similar WhatsApp or n8n automation projects you’ve delivered, especially with chatbot integrations.
• Your project price (not hourly) and how you would structure milestones.
• Your availability for a short video call this week to discuss technical details.
This is a test product, but it needs to be robust enough to simulate a real person’s communication style while giving us room to iterate and optimize.