After exploring the different paths, I've decided to become an AI Consultant. I chose this path because I enjoy solving real-world problems and helping people. My background is in construction, where every day was about finding practical solutions. AI consulting feels like a natural transition because I can use technology to help businesses work smarter, save time, and grow. What I'm most excited about is learning a high-value skill, building relationships with other entrepreneurs, landing my first client, and eventually growing my own AI automation agency. More than anything, I'm excited about creating financial freedom for my family and proving that it's never too late to start over and build a new career. I'm starting as a beginner, but I'm committed to learning, taking action, and improving every single day. Looking forward to connecting with everyone on this journey! Let's build something amazing! 🚀

First 5 warm reach-outs sent! 😬

Hey everyone — I'm Abdulrahman, a software engineering student based in Turkey. I've been building Axiogen, an AI automation agency focused on dental clinics. Our first product is a custom AI voice agent that answers patient calls 24/7, books appointments, and never misses a call — fully built and customized for each clinic. I've spent the last few weeks building the product, the lead gen system, and the outreach pipeline from scratch. Now I'm here to learn, execute, and close my first clients. Goal: $10K MRR. I'm not stopping until I get there. If you're building something in the healthcare or dental space, or you know clinic owners who struggle with missed calls — let's connect. Glad to be here 🙏

recently i started liam course How to Build & Sell AI Agents in 2026: Ultimate Beginner’s Guide when i try to build telegram recp analysis tool and use relevanceai it says this message

Hey everyone 👋 First real post here. I've been learning from a lot of you silently, and I just finished my first production-grade automation. Wanted to share the build and get your feedback. The Problem Small businesses capture leads via forms, then **manually copy the data into their CRM**. This means wasted hours, duplicate contacts, and a CRM nobody trusts. What I Built An n8n workflow that: 1. Receives form submissions via webhook 2. Normalizes the data 3. Searches CRM for existing contact by email 4. Updates if exists / Creates if not (deduplication) 5. Creates a deal associated with the contact 6. Sends a Slack notification to the sales team 7. Logs everything in a Google Sheet (audit trail) 8. Error Trigger → Slack alert + fallback sheet if anything fails The Workflow [Webhook: POST /crm-sync] ↓ [Set: Normalize fields] ↓ [HTTP Request: GET /contacts/search by email] ↓ [IF: contact exists?] ├── YES → [HTTP Request: PATCH /contacts/{id}] └── NO → [HTTP Request: POST /contacts] ↓ [HTTP Request: POST /deals] ↓ [Slack: Notify sales team] ↓ [Google Sheets: Append audit log] [Error Trigger] → [Slack: Alert] → [Google Sheets: Fallback save] Tech Stack - n8n (self-hosted on Railway) - Tally.so (form) - HubSpot CRM (REST API v3) - Slack (incoming webhook) - Google Sheets (audit log + fallback) What I Learned 1. API docs are everything — reading HubSpot's docs took longer than building the workflow. 2. Error handling is not optional — broke the API key on purpose to test. Silent failures are unacceptable for a paying client. 3. Test with bad data — missing fields, duplicates, special characters. Each edge case found a bug. 4. Audit logs build trust — the Google Sheet isn't just for debugging. It's what makes the client feel in control. What's Next - Two-way sync (CRM → Google Sheets back) - AI lead scoring (form data → OpenAI → route by score) - WhatsApp Business API notifications If you made it this far, thanks for reading. Any feedback, criticism, or "you should've done X instead" is welcome — that's how I'll get better. 🙏