This article provides a complete, practical walkthrough of the Respondtowebhook Stickynote Automation Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   **Title:**
   Building an AI-Powered Instagram Chatbot Using n8n, ManyChat, and ChatGPT
   
   **Meta Description:**
   Discover how to create an intelligent Instagram chatbot using n8n, ManyChat, and OpenAI’s ChatGPT. Learn how to automate replies in your brand voice using a no-code workflow and AI memory context.
   
   **Keywords:**
   Instagram chatbot, n8n workflow, ManyChat, ChatGPT integration, no-code automation, Instagram automation, AI chatbot, GPT chatbot, LangChain, AI influencer assistant, memory buffer, Instagram reply bot
   
   ---
   
   **Building an AI-Powered Instagram Chatbot Using n8n, ManyChat, and ChatGPT**
   
   As social media engagement becomes ever more essential for brands and creators, automating routine DMs while keeping your unique tone and style can save time and enhance follower experience. Meet your new favorite sidekick: a customized n8n workflow that integrates Instagram, ManyChat, and ChatGPT to build a smart and stylish Instagram chatbot.
   
   This n8n workflow, titled “InstaTest,” serves as the centerpiece of an AI-driven solution that automatically generates elegant, real-time responses to messages sent via Instagram. By using ManyChat as the Instagram interface and ChatGPT (via OpenAI) for generating smart replies, you're free to focus on content creation while your DM game runs on autopilot—yet still sounds just like you.
   
   Let’s walk through how this automated system works and what's under the hood.
   
   ---
   
   ### How It Works: Step-By-Step Breakdown
   
   #### 1. Receive Instagram Messages (via ManyChat Webhook)
   The entire system starts when a follower sends a message on Instagram, which is captured via ManyChat. ManyChat, a popular no-code chatbot tool, receives the DM and forwards it via an HTTP POST request to a webhook node in n8n. This webhook node—“Getting message from Instagram”—acts as the entry point for each conversation thread.
   
   Configuration tip: Copy the production webhook URL generated by this node and paste it into a custom action inside your ManyChat flow.
   
   #### 2. Set System Prompt for AI Personalization
   Once the message is received, the “Set your system prompt for AI” node takes over. Here, the personality and behavior of your AI chatbot are defined. The prompt specifies:
   
   - Persona: An Instagram influencer.
   - Context: Replying to messages from followers.
   - Task: Respond with brief, natural-sounding answers, maintaining the style typical of previous social media posts.
   
   The node also fetches and sets parameters like session ID and the actual message text. This is critical for ChatGPT to output responses that are not just accurate—but reflect your unique voice.
   
   #### 3. Generate AI-Powered Responses with Context
   A trio of AI-related nodes handles the magic behind the scenes:
   
   - **ChatGPT Model Node:** This invokes OpenAI’s ChatGPT to process the prompt and input text.
   - **Local n8n Memory Buffer:** Keeps track of up to 20 recent messages within a conversation. This memory context ensures responses are coherent and conversational.
   - **AI Agent Node:** This composes the final response, blending the prompt style, user message, and memory context, using LangChain's capability to orchestrate input and AI output.
   
   Developers have flexibility here: You can swap out GPT models or modify the contextual memory depth depending on your preferences or API quotas.
   
   #### 4. Return the Response to Instagram
   The last step? Sending the AI-generated response back to your Instagram follower. This is done through the “Send Respond” node, which posts the message back to ManyChat for delivery to Instagram.
   
   Thanks to n8n’s low-configuration node setup, this process is smooth, fast, and entirely customizable if needed.
   
   ---
   
   ### Why This Workflow Stands Out
   
   - ❇️ No-Code Simplicity: Most of the heavy lifting is managed through graphical interface configuration in n8n and ManyChat—no need to write code.
   - 🤖 Conversational AI That Keeps Context: Through memory buffering and custom prompts, this chatbot feels more like a real human (or influencer!) than a boring bot.
   - ✨ Tailored Brand Voice: By referencing historical post language and enforcing a simple, creative tone, the responses remain unique yet efficient.
   - 💡 Easy Modification: Want longer context? Change the memory buffer. Prefer GPT-4? Just switch the model ID.
   
   ---
   
   ### Third-Party APIs Used
   
   1. **OpenAI (ChatGPT via API)**  
      - Purpose: Generates natural-sounding, context-aware message replies.
      - Integrated via n8n’s LangChain nodes for AI Model (ChatGPT) and AI Agent.
   
   2. **ManyChat**  
      - Purpose: Captures Instagram DMs and delivers chatbot responses via its flow platform.
      - Functions as both message listener (incoming) and sender (outgoing) using HTTP Webhooks.
   
   ---
   
   ### Final Thoughts
   
   If you're looking to stand out on Instagram with a fast, smart, and brand-consistent chatbot, this n8n workflow is a fantastic starting point. Whether you're an influencer managing hundreds of DMs or a business trying to engage leads, this solution scales with your needs—all while giving you a personal touch that followers will love.
   
   By combining the power of ChatGPT with the flexibility of n8n and ease of ManyChat, you're not just building a bot—you’re creating an AI-powered assistant who's fluent in your style.
   
   ---
   
   💡 Want to try it yourself?  
   Check out the full setup guide on [Notion](https://shadowed-pound-d6e.notion.site/Instagram-GPT-light-version-Manychat-X-N8N-176293bddff880899a9ac255585d29f7?pvs=4) (linked in the workflow) and start building your AI-enhanced Instagram engagement tool today.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.