InstaTest

Target Audience

- Instagram Influencers: Those looking to automate responses to subscriber inquiries.
- Social Media Managers: Professionals managing multiple accounts who need efficient communication tools.
- Marketers: Individuals aiming to enhance engagement with followers through timely responses.
- Developers: Those interested in integrating AI solutions with existing workflows to improve efficiency.

Problem Solved

This workflow addresses the challenge of managing high volumes of messages on Instagram by automating responses. It leverages AI to provide personalized replies, ensuring that influencers and brands can maintain engagement without being overwhelmed by the influx of inquiries.

Workflow Steps

1. Webhook Trigger: The process begins when a new message is received from Instagram via ManyChat.
2. System Prompt Setup: The AI's persona and context are defined, setting the tone for responses.
3. Input Capture: The incoming message is captured and prepared for processing.
4. Memory Utilization: The workflow utilizes a memory buffer to maintain context and history for more coherent responses.
5. AI Processing: The ChatGPT model generates a response based on the input message and predefined style guidelines.
6. Response Delivery: The generated response is sent back to ManyChat, which then delivers it to the original Instagram message.

Customization Guide

- Adjust System Prompt: Modify the prompt variable in the 'Set your system prompt for AI' node to change the AI's persona or response style.
- Change AI Model: In the 'ChatGPT model' node, select a different AI model based on your needs for response quality and complexity.
- Memory Settings: Update the contextWindowLength in the 'Local n8n memory' node to control how many past messages the AI can reference.
- Webhook Path: Modify the path in the 'Getting message from Instagram' node to customize the webhook endpoint for your integration.