Research assistant for WhatsApp using Twilio, Perplexity and Claude
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 5 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Twilio and Anthropic Chat Model.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Perform Deep Research (Perplexity): uses Perplexity
- Refine Generated Output for Whatsapp (Basic LLM Chain): sends a prompt to an LLM, with model: Claude Sonnet
- Send Output in Whatsapp (Twilio): uses Twilio
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (5)
- Webhook
n8n-nodes-base.webhook - Perplexity
n8n-nodes-base.perplexity - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Twilio
n8n-nodes-base.twilio - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic
From the author
Build an AI Research Assistant for WhatsApp with Perplexity and Claude 💡 Ever wished you could get a deep, multi-source research report on any topic, delivered directly to your WhatsApp chat in seconds? This workflow transforms your WhatsApp into a powerful,…