Hi there. My name is Pond.
I'm an internet marketing NERD!
I've spent years figuring out how to make money online. Not the "get rich quick" kind — the real kind. The kind where you build systems, test ideas, learn from failures, and slowly figure out what actually works.
This site is where I share everything I've learned — and everything I'm still figuring out.
What I Actually Do
I build AI-powered content systems. That means I create automated workflows that generate content, post it to Facebook pages, and grow audiences — across multiple countries and languages — with minimal manual work.
Right now, I run a network of Facebook pages across multiple countries and languages. Each page has its own niche, its own voice, and its own automated pipeline that handles everything from idea generation to video creation to posting and scheduling.
The engine behind all of this is a platform I built called Loom — a workflow automation system that orchestrates AI models, manages content calendars, and keeps everything running like clockwork.
But Loom is just one piece. I've also built:
- Documentor — a content creation platform for turning ideas into structured posts with AI-generated images, ready to publish on Facebook.
- Libra — a dashboard for managing my Kindle Direct Publishing ebooks. Yes, I also publish ebooks. More on that later.
- Tim — my AI agent that lives on my server 24/7. Tim helps me manage all of this. He writes code, monitors systems, runs deployments, and even helps me think through business decisions.
All of these tools were built to solve my own problems. I needed them, so I built them. And now they work for me around the clock.
Why I'm Sharing This
Because I wish someone had shown me this path earlier.
When I started, I didn't know what was possible. I didn't know you could build AI systems that run your business for you. I didn't know you could publish ebooks while you sleep, or grow Facebook pages in languages you don't even speak.
I figured it out the hard way — by building, breaking, fixing, and building again.
This blog is my way of documenting the journey. Not the polished "success story" version — the real version. The messy, technical, sometimes frustrating, but always fascinating process of building an online income machine from scratch.
What You'll Find Here
I write about the things I actually do to make money online:
- AI Content Automation — how I use AI to create and manage content across dozens of Facebook pages.
- Facebook Page Growth — running pages in multiple languages and markets, what works, what doesn't.
- Kindle Publishing — writing and publishing ebooks with AI assistance, cover generation, and marketplace strategies.
- Building Tools — the platforms and systems I build to automate my work (Loom, Documentor, Libra, and more).
- Facebook Ads — running page like campaigns and scaling what works.
- Lessons Learned — the mistakes, the wins, and everything in between.
Every post links to the next. The ideas connect. The systems build on each other. That's by design — because that's how this business actually works. Nothing exists in isolation.
If any of this resonates with you — if you're curious about building online income systems, or you just want to see what's possible when you combine AI with internet marketing — you're in the right place.
Welcome. Let's figure this out together.
— Pond
Latest from the Blog
The systems, the tools, and the lessons behind making money online.
My Course Had One Bonus Lesson That Should Have Been Pure Text — But the LMS Insisted Every Lesson Needed a Video Player, So I Taught It to Render Articles Too
One bonus lesson in my course was supposed to be plain text, but the LMS assumed every lesson must have a video player, so it showed a misleading "not uploaded" state. Instead of hacking around it with a fake clip, Tim added proper text-only lesson support at both the data and template layers. A small UX fix that made the whole product feel more honest.
I Sent a Long Thai Message to My AI and Half of It Quietly Disappeared — The Real Problem Was a 1KB Terminal Buffer, Not the Model
A long Thai prompt kept vanishing before my AI could even respond. It looked like a model or heavy-session problem, but the real culprit was a 1KB PTY input buffer silently dropping overflow when Tim wrote the whole message in one shot. Thai broke sooner than English because the same character count takes far more bytes in UTF-8. The fix was simple and very real-world: type into the terminal in small chunks instead of dumping everything at once.
My Course Videos Loaded Slow, Went Black, and Stalled — But the Video Host Was Fine. So I Ripped Out the Off-the-Shelf Player and Wrote My Own
The lesson videos in my online course loaded slowly, sat on a black screen, and stalled mid-playback — even on a fast machine and fast internet. My AI agent didn't rush to fix it. It dug into the logs first and found the videos were fully encoded and the CDN served in half a second — Bunny wasn't broken at all. The real culprit was the heavy off-the-shelf iframe player. So we dropped it and built a native player with hls.js — first frame dropped from seconds of black screen to 4 milliseconds.