Voice2Propal – Smart WhatsApp Proposal Generator (Voice & Text)

## 📘 Voice2Propal – Smart WhatsApp Proposal Generator (Voice & Text)
Module-by-Module Setup Guide
# This guide breaks down the automation flow used to transcribe WhatsApp voice messages (or read text messages), analyze the request, and return a personalized business proposal in PDF format — all automatically.

# 🧩 What You’ll Need
## To launch this automated proposal system, make sure you have the following tools and access:

## ✅ WhatsApp Business Cloud API
## (with a registered number + webhook configured)
## ✅ OpenAI API Key
## (for Whisper audio transcription and GPT-4/GPT-3.5 processing)
## ✅ APITemplate.io account
## (for generating dynamic PDFs from templates)
## ✅ Airtable account (free plan is enough)
## (used for storing pack info, services, client data)
## ✅ n8n instance (cloud or self-hosted with HTTPS)
## ✅ Basic n8n familiarity

## ⏱️ Estimated setup time: 45–90 minutes

## Created by Floyd Mahou

# 🟫 Step 1 – Capture & Transcribe WhatsApp Messages
Modules:

## WhatsApp Trigger – Listens for incoming WhatsApp messages.
## Split Out – Breaks apart compound messages if necessary.
## Switch (Rules) – Determines if message is a voice note or plain text.
## WhatsApp Business Cloud (media.mediaUrlGet) – Retrieves media file URL from Meta API.
## HTTP Request – Downloads the voice file.
## OpenAI (Whisper) – Transcribes the audio into readable text.
## Edit Fields / Edit Fields1 – Cleans or reformats transcription or direct text input.
## What Happens:
## Incoming WhatsApp messages are filtered: if it's a voice message, it's transcribed. If it's text, it's passed as-is. The result is a clean input for AI analysis in the next step.

# 🟩 Step 2 – Analyze User Intent & Select Proposal Pack
Modules:

## AI Agent (Tools Agent) – Central brain that analyzes user input and determines the right pack (using reasoning, keywords, etc.).
## Memory – Temporarily holds key context like client name, request, or past answers.
## Calculator – Computes dynamic values like duration or pricing (if applicable).
## Get Info (search record) – Pulls pack or service data from Airtable (name, description, inclusions, price, etc.).
## Key Feature:

## 💡 Your AI agent doesn’t just respond — it reasons based on the user’s input. It matches the request to the right pack by analyzing keywords like “AI automation”, “invoice bot”, or “support chatbot”, then pulls the right fields from Airtable.

# 🟥 Step 3 – Generate & Send Personalized Proposal
# Modules:

## APITemplate.io (create.pdf) – Builds a professional-looking proposal PDF from dynamic fields filled by the AI agent.
## WhatsApp Business Cloud2 (messages.send) – Sends the final PDF to the user via WhatsApp.
## Pro Tip (Optional Enhancement):
## You could include a voice-generated summary (e.g. via ElevenLabs) to explain the PDF content in audio form, for accessibility or “wow” effect.

# 🔐 Security Best Practices

## Use environment variables for API keys and tokens.
## Protect webhooks with signature verification or custom headers.
## Limit access to only necessary scopes on each external app.
## Add error branches or fallback modules in case:

## Audio file is corrupted
## No pack is matched
## Airtable query fails

# 📌 Additional Notes

## The AI Agent can evolve by adding:
## User memory (to personalize tone or recognize returning clients)
## Upsell logic (if user needs >1 service)
## Follow-up automation (after proposal is opened)