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The following summaries outline the technical architecture and business logic of the two automation engines.
1. The Inquiry & Triage Processor
This workflow serves as a centralized ingestion hub for incoming business requests.
Ingestion: The system triggers via Webhook or a Gmail polling mechanism to capture new leads and tasks.
De-duplication: It utilizes a custom JavaScript node to generate a deterministic "fingerprint" based on the task data, ensuring no duplicate records are created in the database.
AI Analysis: An integrated AI Agent analyzes the request text to automatically assign a priority level, functional category, and recommended next action.
State Management: The engine logs the entry into Google Sheets and updates the record status from "In Progress" to "Processed" upon successful triage.
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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.
Built with scalability, usability, and modern SaaS aesthetics in mind.
Exceptional attention to detail. The professionalism and strategic thinking behind this project are immediately obvious.
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
This AI automation SaaS website was designed to simplify how businesses understand and interact with automation products. The experience focuses on structured layouts, reusable UI systems, and clear visual hierarchy to make complex workflows feel easier to navigate. From landing page components and testimonial sections to data visualization and FAQ flows, every element was designed to improve clarity, build trust, and support conversion through a scalable design system.
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