Research assistant for WhatsApp using Twilio, Perplexity and Claude

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, on-demand research assistant, perfect for students, professionals, and curious minds.

Leveraging the deep research capabilities of Perplexity, the nuanced formatting skills of Anthropic's Claude, and the messaging power of Twilio, this workflow automates the entire process from query to polished answer. Ask it anything, and receive a well-structured, easy-to-read summary moments later.

What This Workflow Does 🚀

📲 Listens for Incoming Queries: The workflow starts when a user sends a message to your configured Twilio WhatsApp number. 🧠 Performs Deep Research: It takes the user's query and feeds it to the Perplexity node, which uses the sonar-pro model to conduct a comprehensive, multi-source analysis on the topic. 🎨 Polishes the Content: The raw, detailed research report from Perplexity is then passed to an Anthropic Claude model. This crucial step refines the text, adds engaging emojis, ensures it's under the WhatsApp character limit, and formats it perfectly for mobile viewing. 💬 Sends an Instant Reply: The final, beautifully formatted summary is sent directly back to the user's WhatsApp chat via Twilio, completing the entire request.

Nodes Used 🛠️

Webhook: To receive the initial message from Twilio and trigger the workflow. Perplexity: To perform the AI-powered deep research on the user's query. Anthropic (via LangChain): To connect to and use the Claude model for reformatting and polishing the content. Twilio: To send the final, formatted message back to the user on WhatsApp.

How to Set Up This Workflow ⚙️