I Run 5 Businesses With Fewer Than 15 People
Fifteen people. Five businesses. No venture capital. No 80-person engineering department.
Last Tuesday, our team shipped a major Sendmux feature, ran compliance audits across Spotzee, tested a new voice interaction flow for Qubrics, and published three pieces of content. All before lunch in Melbourne.
A year ago, that sentence would have been fiction. Today it's a regular week. We didn't hire more people. Every single person on our team just started wearing an Iron Man suit to work.
What I Mean by "Iron Man Suit"
Here's the thing about Tony Stark. The suit doesn't replace him. Take a random person off the street, strap them into the armour, and you get a confused person in expensive metal. Put it on a genius engineer with combat instincts, and you get output that shouldn't be possible for one human.
That's how we think about AI across every business we run.
Our engineers don't get replaced by Claude Code. They use it to ship features in hours that used to take days. Our marketers don't get replaced by ChatGPT. They use AI to research, draft, and refine campaigns while spending their actual brainpower on strategy. Our support team doesn't get replaced by chatbots. They use AI to resolve issues faster while keeping the conversations human.
Same people. Same skills. Wildly different output.
This isn't theory. 85% of small businesses using AI report measurable productivity gains. 81% say AI adds to their workforce rather than replacing it. But here's what the stats don't capture: the gap between companies that hand everyone a ChatGPT login and call it "AI adoption" versus companies that wire AI into every workflow, every role, every single decision point throughout the day.
I call that gap the difference between AI Observers and AI Operators.
What Is an AI Operator?
Most founders I talk to fall into one of two camps.
Camp one reads every AI newsletter. They've tried the tools. They use Copilot for personal coding. They've asked Claude to write a few emails. AI is a personal productivity toy sitting on their desk next to their coffee.
Camp two is smaller. Way smaller. These founders have made AI the operating system for how their entire company runs. Not just them personally. Every team member, every function, every product.
I'm in camp two, and this blog exists to show you exactly what that looks like.
An AI Operator doesn't just use AI. They build it into how work actually happens. Across engineering, marketing, operations, support, and product development. Across multiple businesses at the same time. The result isn't a founder with a fancy chatbot. It's a small team that moves like a company five times its size.
The numbers back this up. 73% of developers now use AI coding tools daily. AI generates 46% of the code at companies that have adopted it. The coding assistant market hit $7.37 billion in 2025 and is headed toward $30 billion by 2032. This wave is real, and it's picking up speed. But adoption alone isn't the point. Building it into how your company actually works is.
What I'm Building (and Why It Matters Here)
I build infrastructure and products that sit at the intersection of AI and real-world business problems. Two of them explain why I think about this stuff every waking hour.
Sendmux.ai is intelligent email routing infrastructure. We sit between your applications and your email providers (Gmail, SES, SendGrid, whatever you use) and handle multi-provider failover, quota management, and AI agent email access. Think of it as traffic control for email, not another sending service. As AI agents become standard in business, they're going to need reliable email pipes. We're building those pipes.
Qubrics.ai is a voice-first, mobile-first AI assistant built for non-technical people. The kind of person who will never learn what a "prompt" is and shouldn't have to. Real AI capability without the learning curve. Bring your own API key, flat-rate subscription, interface designed for humans who aren't engineers.
I also run Spotzee.com, a marketing automation platform for regulated financial services. Spotzee uses Sendmux as its email backbone. We eat our own cooking.
And gotta.blog, the platform you're reading this on right now. AI-powered publishing for people who have something to say.
Each product is a proof point. Sendmux is the propulsion system. Qubrics puts the suit on someone who's never worn one. Spotzee proves our own infrastructure works under real load. And every one of them is built and run by a team of less than 15 humans who each use AI as a daily multiplier.
What You'll Find on This Blog
This is where I document what running an AI-augmented team actually looks like. Not the polished version. The real one.
Operator's logs. What AI did across our businesses in a given week. The tasks it handled, the hours it saved, and the things that went sideways on a Tuesday afternoon.
Process teardowns. Step-by-step breakdowns of how our team uses AI for development, marketing, support, and operations. Screenshots, warts, and all.
Infrastructure insights. The technical decisions behind Sendmux, the architecture choices we got right and wrong, and what we're learning about building the plumbing that AI agents will depend on.
Honest numbers. Revenue, users, failures, lessons. Small numbers included. Embarrassing ones too.
Takes. On the AI tools we adopt and drop. On the trends everyone's chasing versus the ones that actually matter. On what it means to build a company in 2026 when the rules keep changing every quarter.
Who This Is For
If you're a founder trying to figure out how to make AI work across your team and not just as a personal toy, this is for you.
If you're a developer building with AI agents and wondering about the infrastructure they'll need, this is for you.
If you're someone who's curious about AI but has zero interest in learning prompt engineering, and you just want the technology to work, this is for you.
And if you're running a small team and feel like you should be moving faster, shipping more, but can't justify hiring ten more people? This is especially for you.
One More Thing
I grew up in Hyderabad, India. Moved to Auckland, New Zealand when I was twelve. Met my wife Grace there. Now I'm building from Melbourne, Australia, with a team spread across multiple countries.
I've been in the email business since before most people knew what email validation was. I built one of the first email verification platforms back in 2008. I've helped run New Zealand's third-largest pharmaceutical e-commerce store. I've been starting businesses since I was delivering newspapers as a kid.
None of that background is the point. The point is I've spent two decades learning how to build things with small teams and limited resources. AI is the biggest amplifier I've ever seen for that exact skill set. And I think documenting the process, out in the open, is worth more than keeping it to myself.
First post. No polish, no launch fanfare.
Just an AI Operator, showing his work.
