Hey! |
I'm sharing an automation system with complete implementation files—no marketing fluff, just working workflows and documentation. |
System: Instagram Auto-Responder (n8n-based) |
This system handles Instagram DM responses from detection through lead qualification and CRM integration. |
What It Actually Does: |
Detects new Instagram DMs via Facebook API webhook Filters senders against do-not-reply lists Generates personalized responses in under 20 seconds using brand voice Qualifies leads and recommends products/services Tags and stores hot leads directly in CRM Manages follow-up sequences automatically
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Technical Implementation: |
Webhook processing: Facebook API integration with instant DM detection Memory management: 40-minute context window using Postgres Chat Memory RAG system: Supabase vector store with OpenAI embeddings for knowledge retrieval AI processing: OpenAI Chat Model with custom prompt templates Document processing: Google Drive integration with text extraction and embedding Multi-language support: English, Spanish, French, and Portuguese CRM integration: Automated lead tagging and storage
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How It Works: |
Webhook receives DM from Facebook API System checks sender against do-not-reply list AI agent processes message using RAG and chat memory Searches vector store for relevant context Crafts personalized response matching brand voice Sends reply via Facebook API Updates CRM with lead information and conversation history
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Engineering Note: System requires Instagram app creation in developers.facebook.com. Test the production version by DMing @LaunchpadFast on Instagram. |
Real Value: Eliminates support team bloat while maintaining personalization quality. Handles thousands of concurrent conversations with consistent brand voice and sales focus. |
What You're Getting:
✅ Complete n8n JSON workflows - Import and run immediately
✅ Prompt templates - Production-tested GPT 4.1-nano prompts (see prompt in AI Agent)
✅ Vector store configuration - Supabase setup with embedding optimization |
Access Everything Here: https://drive.google.com/drive/folders/1dlysHmgeGy3OL_HxWWKb5uYhB762dZcC?usp=sharing |
For Technical Decision Makers: |
These aren't black-box solutions. You get full source code, can modify everything, and own the implementation. Each system is designed to be: |
Modular: Swap components as needed Debuggable: Clear node structure with error handling Scalable: Same workflow handles varying volumes Cost-conscious: Optimized API usage patterns
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Common Use Cases We've Seen: |
SaaS companies automating inbound support and sales Agencies scaling automation services to their Instagram clients Support teams increasing output without hiring Engineering teams freeing up time from repetitive tasks
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Want Custom Implementation? |
These blueprints are starting points. If you need: |
Integration with your existing stack Custom modifications for your use case Team training on prompt engineering Full deployment support
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Reply or email john@launchpadfast.com. We help engineering teams implement and customize these systems, typically seeing first results within days, not months. |
Best,
John |
P.S. This system is actively used by businesses that rely on Instagram for lead generation and appointment booking. The automation handles the volume while maintaining the personal touch that converts. Ready to eliminate your Instagram response bottleneck? |
