I replaced 3 VAs with AI workflows. Here's exactly how (with numbers).
Six months ago I was spending $2,400/month on virtual assistants for my agency. Client onboarding, lead scraping, follow-up emails, report generation, social scheduling — all manual. All fragile. One VA goes on leave and everything breaks.
So I started building automations. Not the "connect Zapier to Google Sheets" kind. Real workflows: AI agents that read incoming briefs, generate deliverables, route approvals, and post results — end to end.
The first one took me 14 hours to build. It was a client onboarding flow that used to take my VA ~3 hours per new client. Now it runs in under 4 minutes. Zero errors.
That was the aha moment. I realized I wasn't just saving time — I was removing an entire category of work from my business.
Here's what happened over 90 days:
Built 12 production workflows
Cut monthly VA spend from $2,400 → $0
Freed up ~60 hours/month of my own oversight time
Client capacity went from 8 → 14 without hiring
The catch? Each workflow took real iteration. I broke things. I learned which AI models hallucinate less for structured output. I figured out error handling patterns that actually work in production.
That's what Apex Logic is. Not a prompt pack. Not a course where I talk at you for 6 hours. It's the actual vault of workflows I use every day — with the context of why each one is built the way it is.
Every template comes with:
The workflow file (ready to import)
A walkthrough of the logic
Real performance data (time saved, error rates, edge cases)
My notes on what I tried that didn't work
If you're an agency owner still paying humans to do robot work, I built this for you.
$10/mo. No lock-in. Cancel anytime.
