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19 contributions to AI Automation First Client
Made $1,600 This Morning Before Coffee
Client emergency call at 6:47 AM. "Our system crashed and we have 200 applications to process by noon." Deployed my existing template in 23 minutes. Processed all 200 applications by 8:15 AM. Invoiced $1,600 for urgent deployment. Coffee never tasted better. THE EMERGENCY OPPORTUNITY: Systems fail at the worst times Deadlines don't move for technical problems Desperate businesses pay premium prices Your templates become lifesavers THE CALL BREAKDOWN: 6:47 AM: "We're in crisis mode" 6:48 AM: "I can help immediately" 6:49 AM: "What exactly do you need?" 6:52 AM: "I have a template for this" 6:54 AM: "Emergency rate is $1,600" 6:55 AM: "Yes, please help us" THE 23-MINUTE RESCUE: Minutes 1-5: Access their Google Drive Minutes 6-10: Deploy application template Minutes 11-15: Test with sample applications Minutes 16-20: Process first batch Minutes 21-23: Monitor for errors All 200 applications processed by 8:15 AM. THE TEMPLATE THAT SAVED THE DAY: "Rental Application Processing" Built 4 months ago for property management Extracts: Name, income, references, background Outputs: Formatted approval reports Used 6 times, earned $11,200 THE EMERGENCY PRICING STRATEGY: Normal price: $800 setup Emergency rate: 2x normal Same day delivery: Additional 25% Weekend/holiday: Additional 50% THE PSYCHOLOGY OF CRISIS PRICING: Time pressure eliminates price sensitivity Results matter more than cost Premium pricing feels appropriate Quick resolution builds massive loyalty THE CLIENT'S REALITY: 200 applications = 40 hours manual work Deadline = Noon (5 hours away) Staff available = 2 people Manual processing = Impossible My automation = Crisis solved THE FOLLOW-UP VALUE: Immediate relief builds trust Emergency success creates loyalty Word spreads about reliability Referrals come with urgency stories THE TEMPLATE LIBRARY ADVANTAGE: No build time required Instant deployment possible Proven reliability under pressure Multiple applications ready MY EMERGENCY RESPONSE KIT:
3 likes • Sep '25
Yepp!
Research process runs! 😎
Hi! Finally, I have the basic research process running with special LLM prompts and some extra validator in JavaScript! :) And, the most important is that this basic tool’s value is already validated by a researcher. (Believe or not it will be a real tough thing to make the university or the researchers pay, but thats life! 😄 ) Let's do portfolio and solve/fix harder and harder issues to be able to handle the average requests easily and make the money! :D So, this process is just the beginning! I am pretty sure, that I’ll go for that categorising and tool crossing and caching and whatever staff what was mentioned yesterday or something! 😈 Of course with some RAG and chatbot! 🤣 I love these impossible stuff (impossible now but later it’s just portfolio!) Cheers!
Research process runs! 😎
2 likes • Sep '25
@Duy Bui thank you! I’ll do that! :)
Bulk of Messy PDF-s
Is there anyone experience, how to handle an issue, where the bulk PDFs are so different to each other, but all contains important tables, graphs, images. This is a real example of a researcher DB. For example, there are 150 PDFs, where about 130 contains bunch of not simply readable or stuff. 150 PDF, with avg. 25 pages, cca. 4000 pages with 1000 images, tables, graphs. Instead of a regular “extract and go” work steps (ok, we can prepare for 15 type of doc, thats not problem) this needs completely different approach. And this might be similar issue with the user manuals and assembly instructions. They must be correctly shown at a right place. How we can handle that? How the dataset will be setted up?
1 like • Sep '25
Hmm, that would be another story I assume… :( Ok, now stay at the present tool, sell it first then see if someone REALLY need those functions.. :) Hahha
Project Knowledge chatbot
Hey all, Any recommendations/experience for following usecase? I got a Client who asked for a RAG chatbot for his construction employees. They want to ask the chat bot for execution details instead of looking through many documents manually. I saw there are new solutions possible using knowledge graph. Do you prefer simple rag (+ reranking?) or knowledge graph? Thank you 🙏🏻🙏🏻
2 likes • Sep '25
@Duy Bui This rocks!! Actually this works for all Mechanical Assembly companies, repair shops and every similar.
Sep '25 • 
Win 🏆
🎉 200 Members - This Is Just The Beginning
We just hit 200 members and I'm honestly blown away. When I started this 2 weeks ago with ZERO members, I just wanted to help a few people land their first automation client. But look what YOU'VE built: ✅ Some members already booked discovery calls ✅ 40+ valuable posts shared ✅ Members helping members daily ✅ Real templates being tested and improved The best part? This isn't my community anymore - it's OURS. Special shoutout to: - Everyone who shares their REAL journey (struggles included) - Those answering questions before I even see them - Members posting daily accountability updates What's next: - Launching more page in the n8n templates course - Member spotlight features - First success story case studies coming To the first 200: You're building something special here. When we hit 1,000, you'll always be the ones who believed first. Let's keep going. Your first client is closer than ever 🚀 What's been your biggest win so far? Drop it below! 👇
1 like • Sep '25
congrats @Duy Bui ! :)
1-10 of 19
Attila Biletzky
4
86 points to level up
@attila-biletzky-9475
Business consultant, engineer, and founder exploring the AI business universe—an essential future direction. Passionate about AI's exciting potential.

Active 8h ago
Joined Sep 7, 2025
Budapest, Hungary, EU