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I got tired of explaining my business to AI every time I opened a new chat.
So I started keeping project context, decisions and workflows in one place the agent could read. That became the workspace I use to run Kratos Labs.
I’ve released a public version called Operator OS. If you’ve been copying the same background into every conversation, you might find it useful.
P.S. 100% free
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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I’ve been building AIVELOFT V2 as a premium Framer template for AI automation agencies, consultants, and automation-focused businesses.
The goal was not to make another “AI-looking” website.
Instead, I focused on how real automation businesses actually need to communicate value:
• what problem is being solved
• how the workflow works
• where control and human oversight sit
• what outcomes can be measured
One of the key features is an ROI Opportunity Calculator designed to help prospects explore where automation may have the biggest operational impact.
The template is also built around clear buyer experience, responsive behavior, reusable components, accessibility, and easy customization inside Framer.
AIVELOFT V2 is designed for teams that want their website to feel less like AI hype and more like a credible automation business.
Explore AIVELOFT V2 ↓
https://aiveloft-v2.framer.website/
Great work
🚀 My First AI Automation Project with n8n
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.
#AIAutomation #n8n #Automation #ArtificialIntelligence #DataAnalytics #DataAnalyst #WorkflowAutomation #GenerativeAI #BusinessAutomation #AI
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.