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Developed an automated Facebook comment reply system using n8n, designed to handle real-time engagement by responding to user comments with AI-generated replies. This workflow enables scalable, intelligent interaction on social media without manual intervention.
The system is triggered through a Facebook webhook, which listens for events such as new comments on posts. It first validates incoming webhook requests to ensure secure communication with Facebook services.
A conditional logic layer filters incoming events, ensuring that only relevant comment actions are processed. It specifically:
Detects newly added comments
Ignores non-comment events
Prevents replies to the page’s own comments
Once validated, the workflow extracts essential information including the comment text, user name, post ID, and comment ID.
This data is sent to an AI model via an HTTP request, where custom prompt engineering is used to generate accurate and context-aware replies. The AI is guided with predefined instructions and content context (such as details about a travel video), allowing it to:
Respond only to relevant comments
Generate short, natural, human-like replies
Avoid repeating or restating the user’s comment
Return a neutral response if the comment is unrelated
After generating the reply, the workflow formats the output and sends it back to Facebook using the Graph API, automatically posting a response directly under the original comment.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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Designed a modern AI automation SaaS website focused on simplifying complex workflows through clean UI, structured layouts, and conversion-focused product design.
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Created an n8n-powered OCR automation that solves the critical gap in manual payment systems — where users pay via bank transfer and upload a screenshot as proof. The system automatically extracts payment data, verifies the transaction, updates the database, and activates the user's subscription without any manual admin intervention.
Here you can Read the Whole Case Study: https://contra.com/p/oXq2Weeo-ocr-automation-for-payment-processing
AI-Powered Email Processing & Business Data Extraction (n8n)
Built an automated workflow system using n8n to handle intelligent email processing, retailer data enrichment, and decision-based automation for business operations.
The system runs on a scheduled trigger (every 30 minutes) and processes customer data in a fully automated pipeline. When a user logs in, their data is stored with a pending status. The workflow then retrieves these records, analyzes recent business emails, and extracts key information such as sender domain and transactional details.
Using domain-based logic, the system cross-checks retailer data from a centralized database (Google Sheets). If retailer information is incomplete, the workflow automatically performs web scraping and enrichment to fetch return policies, business details, and relevant metadata before continuing execution.
Once validated, the system parses emails, extracts structured data, triggers external APIs, and marks processed emails accordingly. It ensures idempotent processing by updating statuses and avoiding duplicate handling.
Additionally, the workflow supports continuous monitoring by scanning unread business emails for completed users and processing them in real time.
Key Highlights
Fully automated email parsing & classification system
Dynamic data enrichment from web sources
Domain-based retailer validation logic
Seamless integration with APIs, databases, and Google Sheets
Built for scalability, reliability, and minimal manual intervention
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