I am forced to take this action as a last resort. Eric has continuously refused to pay the outstanding salary and has ignored all my professional communications. To make matters worse, I have now been kicked out of his Discord server, cutting off my ability to speak out within the community. ⚠️ WARNING to All Potential Hires and Partners: Given that Eric Tech (YouTube: https://www.youtube.com/@EricWTech) is refusing to honor a small $90 USD invoice for confirmed work, this demonstrates a fundamental lack of professional integrity and business accountability. All freelancers, job seekers, and potential partners are strongly advised to avoid collaboration with this individual. Do not risk your time and effort working for someone who refuses to pay for completed services. Can anyone help me spread the word since I am blocked from his server? 😭😢 ➡️ Full Evidence Report (PDF): https://tinyurl.com/mrxa45j

Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊

Client works with 6 vendors. Each sends invoices in completely different format. First thought: "I'll need 6 separate workflows." Then realized: Why? Built one universal workflow. Handles all 6 formats. Plus works for new vendors without code changes. THE SECRET: Schema-based extraction doesn't care about format. Extracts semantically, not positionally. Vendor A: Invoice total bottom right Vendor B: Invoice total top left Vendor C: Invoice total in table middle Vendor D: Labeled "Amount Due" Vendor E: Labeled "Balance" Vendor F: Different language Same schema finds "total amount" regardless of position, label, or language. THE SCHEMA: { "vendor_name": "string", "invoice_number": "string", "invoice_date": "date", "total_amount": "number", "line_items": [{ "description": "string", "quantity": "number", "amount": "number" }] } This extracts correctly from all 6 vendor formats. Modern processing understands semantic meaning. THE WORKFLOW: Gmail → Parse Document → Extract with schema → Validate → Switch on confidence → QuickBooks → Slack One workflow. Six vendors. Zero maintenance when they change templates. THE RESULTS: Month 1: 6 vendors, ~180 invoices Month 3: Added 2 new vendors, workflow handled automatically, ~280 invoices Month 6: Now 11 vendors, workflow unchanged, ~450 invoices Zero code changes for 5 new vendors. TRADITIONAL APPROACH: Would need 11 separate parsers to maintain. One template change from any vendor = emergency fix needed. SCHEMA APPROACH: One universal extraction. Vendor changes template? Still extracts correctly. Add new vendor? Already works. CLIENT REACTION: "Wait, when we add new vendors, we don't need to update anything?" Exactly. That's semantic extraction. Template here THE LESSON: Stop building format-specific parsers. Build semantic extractors. One workflow serves all formats. Scales infinitely without code changes. Modern document processing understands WHAT you want extracted, not WHERE it appears.

Hello everyone! My name is Soumya. For the last 6–7 months, I’ve been focused on learning AI automation, infrastructure, and how to build a business leveraging AI. Now, I’m officially looking for my first client. Starting this week, I’ll be posting tutorials and walkthrough videos on YouTube, mainly around building n8n infrastructures and automation systems. So far, I’ve: - Collected 2,000+ leads using n8n + Apify - Built an agent that scrapes lead websites and auto-populates important company information into Google Sheets - Started personalizing my outreach using these insights (currently sending 15 manual cold emails per day) - Challenges I’m currently facing: 🔥 Structuring YouTube content — I’m completely new to content creation, and it’s way outside my comfort zone. 🔥 Maintaining domain reputation — Making sure my cold emails don’t land in spam while scaling outreach. I’m excited to share my journey with all of you.Any advice or guidance is always appreciated! 🙌