Hi, I’m Anthony
In my most recent past life I helped ecommerce sellers grow their businesses, especially on Amazon. I spent years learning how to rank products, turn cold traffic into customers, and squeeze as much performance as possible from every campaign.
I spoke on stages around the world about Amazon’s algorithm and what it takes to win attention online. But I’ll be honest: when it came to actually running my own physical product brand, I struggled. I could drive traffic. I could rank. But I hadn’t yet learned how to build products people truly wanted and manage the messy, real-world side of a business.
The result? A lot of hard lessons, a few painful failures, and a front-row seat to how difficult it is to run a modern business—especially when you’re trying to compete with bigger, better-funded players.
Despite failure, everything I’d been doing prepared me for this
While I was helping other businesses grow, I was also quietly getting obsessed with automation. I was building chatbots, wiring up funnels, and creating little systems that nurtured leads, handled follow-ups, and moved people through a process without me needing to sit in front of a screen all day.
I learned how to:
- Automate business processes end-to-end
- Replicate key parts of human interaction with flows and logic
- Guide prospects through a conversation that felt personal, but scaled
It wasn’t glamorous, but it was powerful. And I kept thinking: if we can do this with “simple” automations, what happens when AI gets good enough to plug into the same workflows?
Enter generative AI
When modern AI models became available to the public, I did what any automation nerd would do: I started injecting AI into everything—lead gen, research, copy, operations, you name it.
It was awesome… but also chaotic. It’s one thing to have a clever prompt. It’s another to have a reliable, documented system that your team—or your clients—can actually use every day.
That tension is exactly where AI+Automation comes from: taking the messy, creative experimentation phase and turning the best of it into solid, reusable assets.
So what solutions do you offer? And who are they for?
AI+Automation is where I publish the things that proved themselves in real work: battle-tested agents, pipelines, and playbooks that you can drop into your own stack.
For hands-on builders
If you’re the person who actually wires things up—an automation engineer, technical founder, or solo operator—you’ll find:
- Desktop agents you can run on your own machine or VM
- Add-ons & extensions that plug into tools you already use
- RAG pipelines designed for real-world data, not toy demos
For teams & clients
If you’re supporting a team or working with clients, the goal is simple: give you automations that can be handed over, documented, and trusted—without you being the only person who understands how everything works.
That’s why every product is built to be installed, configured, and owned in your environment, with your data and keys.
Where this is going
Over time, AI+Automation will keep expanding: more agents, deeper RAG tooling, and more resources for the people who actually build this stuff. Alongside the products, there’s also AI:Automation, a course + community for learning how to scope, sell, and deliver automation work at a higher level.
Whether you’re here to grab a single agent, adopt Context Mesh as your retrieval backbone, or eventually run your whole stack on top of RAG.PC, my goal is the same: help you build systems that do real work, reliably, for a long time.
Thanks for being here—and for caring about doing this properly.