Templates / Auto-generate WhatsApp proposals from voice or text using GPT & APITemplate

Auto-generate WhatsApp proposals from voice or text using GPT & APITemplate

Needs changes

by Floyd Mahou ✓ · 8,929 views · created 2025-07-03 · Lead Nurturing, AI Chatbot

Needs changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 15 nodes and runs on WhatsApp events (messages). Along the way it connects OpenAI Chat Model, WhatsApp Business Cloud, OpenAI and Airtable and 1 more.

How it runs

Trigger: On WhatsApp events (messages).

  1. Split Out: splits a list into separate items
  2. Switch: routes items into 2 branches
  3. WhatsApp Business Cloud: media url get
  4. Edit Fields (Edit Fields (Set)): sets 1 field: text
  5. HTTP Request: calls an HTTP API
  6. Edit Fields (Edit Fields (Set)): sets 1 field: message_type
  7. OpenAI: transcribe (audio)
  8. AI Agent: runs an AI agent, with model: OpenAI Chat Model; 2 tools (Get Info, Calculator); memory: Simple Memory
  9. APITemplate.io: work with pdf
  10. WhatsApp Business Cloud: send

Services it uses

OpenAI Chat ModelWhatsApp Business CloudOpenAIAirtableAPITemplate.io

Before you upgrade to n8n 3.0

1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:

  • AI Agent v1 (old agent modes) in AI Agent (v1.8): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.

Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).

Removed in 3.0Replace with
AI Agent v1 (old agent modes)
AI Agent (v1.8)
Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.

Nodes used (13)

From the author

How it works • Transcribes a WhatsApp voice or text message from a prospect using Whisper or GPT • Extracts key information (name, need, context, urgency) via AI • Matches the most relevant service pack by comparing the prospect’s need with Airtable data •…

Excerpt from Floyd Mahou's description on n8n.io.

View the original on n8n.io → Check your own copy

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