🚀 My First AI Automation Project with n8n I recently built my first automation project — an AI-P...🚀 My First AI Automation Project with n8n I recently built my first automation project — an AI-P...
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I recently built my first automation project — an AI-Powered Invoice Extraction & Tracking System.
The problem I wanted to solve was simple:
Imagine a business receiving dozens of invoices or cash memos every week. Someone has to open each file, read the information, and manually enter the vendor name, date, items, total amount, and category into a spreadsheet.
That’s repetitive, time-consuming, and easy to get wrong.
So I built a workflow where:
📂 An invoice is uploaded to Google Drive
→ 🤖 Gemini AI reads and extracts the invoice data
→ ⚙️ n8n processes and validates the information
→ 📊 The data is automatically added to Google Sheets
The best part?
No manual data entry. Just upload the invoice and the rest happens automatically.
While building it, I also worked with things like workflow triggers, loop control, API errors/retries, and handling multiple files.
For me, this project was less about simply “building an n8n workflow” and more about learning how AI + automation + data workflows can solve real business problems.
This is just my first step into AI automation, and I’m excited to build more practical systems like this.
If your business has a repetitive process that could be automated with AI, n8n, or data workflows, feel free to DM me. I’d be happy to discuss it.
Smart pipeline! Have you added strict JSON schema validation after Gemini extracts the invoice fields? Found that it stops edge case hallucinations before the data ever hits Sheets.
Thanks! That's a great observation. Currently, I'm using JavaScript code for basic validation, but implementing strict JSON Schema validation (Structured Outputs) directly after Gemini is definitely the next upgrade on my roadmap!
Absolutely spot on. Data visualization is just eye candy until it drives actionable business outcomes. A dashboard should answer specific questions, highlight friction points, and guide the user toward a clear decision.
Take a vampire, a grim reaper and a bat for a midnight ride through a haunted town. Hold to boost over broken track, brake before the big hills, and grab candy to refill your boost. Push your luck too far and your passengers end up splattered across the screen.
What if every new lead could be handled before you even open your inbox? ⚡
This AI-powered workflow turns a new email inquiry into a structured, ready-to-handle lead — automatically.
A new inquiry arrives → AI extracts the important details → Airtable/CRM is updated → the response goes through optional human approval → a personalized email is sent → Notion is updated → the team gets notified in Slack → performance data is collected for reporting.
The goal isn't to remove people from the process. It's to remove the repetitive work around them.
This type of workflow can be customized for B2B companies, SaaS businesses, agencies, real estate, e-commerce, recruitment, consulting, customer support, healthcare, finance, education, and other service businesses.
Already know what you want to automate? → Send me your current workflow and I’ll map out how we can automate it.
Still doing repetitive work manually? → Tell me the task that consumes your team’s time, and I’ll help identify what can be automated.
I'd use the human approval step to capture corrections, not just a yes/no decision. If a reviewer changes the extracted lead details, does the workflow update Airtable and the reporting record before sending the email?
An AI-powered automation workflow built with n8n that intelligently processes incoming requests and executes the appropriate API actions.
The workflow receives requests through a webhook and uses an AI Agent to understand the user's intent and determine the required action. It can dynamically route requests to different operations such as retrieving properties, posting URLs, deleting resources, and returning structured results.
The system also includes AI-powered output parsing and automatic output correction to ensure responses follow the expected structure and format.
Key features:
AI-powered request understanding
Webhook-based automation
Intelligent request routing
API integration and dynamic actions
Structured JSON responses
Automatic output parsing and correction
Modular and scalable n8n architecture
Skills / Tools
n8n · AI Agents · Google Gemini · API Integration · Webhooks · JSON · Workflow Automation · AI Automation