One of the biggest mistakes I made with getting clients via cold email for my ai automation business was thinking more leads = more replies. So I’d scrape huge lists, clean them a bit, and send campaigns out at scale. But the problem was that most of the people on those lists were never a good fit in the first place. Too big niche, wrong timing, no real reason for them to care. So even when the email itself was decent, results were inconsistent. Once I started focusing more on the quality of the list instead of just the size, everything improved. Better replies, better conversations, and way more qualified meetings. So I put together a quick breakdown of how I approach list building now, so you don’t waste time sending emails to the wrong people like I did.

upwork is a trash company and platform. here is how to find and hire people directly. 1. add watermarks in forms of qr codes, personal website, full name, email address into your Upwork profile 2. use hashtag on all social media platforms #hiredirect 3. come up with 2-3 agreements that will fit 90% off all your projects. the agreement should outline things like: payment schedule, penalties, etc. use chatgpt to quickly modify the agreement when needed.

Every month, a finance team of a real Estate company manually pulled QuickBooks reports, calculated metrics, built charts by hand, and formatted everything before sending. That also for 2 seperate company divisions. THE MANUAL PROCESS: - Log into QuickBooks manually - Pull P&L and Balance Sheet separately - Export to Excel - Calculate 15+ financial metrics by hand - Build trend charts manually - Write a performance summary - Format the whole thing - Send it out Time per month: 8–12 hours One person. Recurring. Every single month. THE COST CALCULATION: Average finance admin salary: $45,000/year Hourly rate: ~$22/hour 10 hours/month × $22 = $220/month $220 × 12 months = $2,640/year Spent on copy-pasting numbers into Excel. THE HIDDEN PROBLEM: It wasn't just time. Reports were late. Numbers were sometimes wrong. Charts were inconsistent month to month. And the person doing it dreaded the 11th of every month. No one was catching financial gaps because by the time the report was done, everyone just wanted it over with. THE SYSTEM I BUILT: Automated reporting system - Scheduled trigger fires on the 11th automatically - Pulls live P&L and Balance Sheet directly from QBO - Calculates 15+ metrics across both divisions simultaneously - Generates 3-month trend line charts automatically - AI layer analyzes the full report and flags gaps, anomalies, and problem areas - Fully formatted report hits their slack — zero human involvement THE RESULTS: Time spent on reporting: 10 hrs → 0 hrs Annual hours reclaimed: 120 hours Annual cost recovered: $3,000+ Report consistency: Error rate: Eliminated — data pulled live from source system

Build the fastest and most realistic AI Voice Agent using the Grok Voice Think Fast 1.0 model. This complete tutorial shows you how to create an AI voice agent that controls websites, switches languages mid-conversation, and sounds incredibly natural. You'll learn to build a fully functional AI Voice Assistant using no-code and xAI's new Grok Voice API. Check it out 👇

Learn how to fully automate LinkedIn posts using Claude Code and OpenAI's GPT Image 2 model. This tutorial shows you how to build a system that generates multi-slide carousel posts with perfect text, schedules them automatically, and handles everything from image creation to posting. The system takes any topic or YouTube video title and transforms it into professional LinkedIn carousels with 4-6 branded slides. https://github.com/brendanjowett/claude-linkedin-auto-poster Check it out 👇👇👇👇