About
About me
AI has changed how we work. But the real shift isn’t just using ChatGPT—it’s building with AI coding agents like Claude Code.
I’ve discovered that business operators can now build production systems that real teams depend on. Not toy projects. Real automation, real applications, real impact. This is what I want to share with you here.
Q: What is this space about?
A: This is a practical guide to building with Claude Code for business professionals. Not “vibe engineering” where you casually prompt and hope for the best—strategic building where you direct AI agents to create tangible business value.
I focus on Claude Code because it’s become my primary tool for everything: automating workflows, building internal applications, creating data pipelines, and more. It’s the everything tool for operators who want to build.
This is for business leaders, operators, and strategists who want to create their own solutions. You’re not switching careers to software engineering. You’re adding a powerful capability to your existing role.
Q: Why focus on AI coding agents?
A: Because this is where business professionals gain real leverage.
At PandaDoc, I built a sales automation pipeline using Claude Code that replaced a multi-day manual data project. It queries our CRM, routes accounts by territory, filters contacts by seniority, and imports directly to our sales tools—automatically, every week. What used to consume 2-3 days now runs without me touching it.
I also built a full-stack web application that generates personalized sales collateral. Reps enter a company name, select an industry, and get a brand-compliant one-pager in minutes instead of waiting 30-60 minutes on manual formatting.
These aren’t side projects. They’re production systems that real teams depend on daily.
Q: What’s different about your approach?
A: AI agents still require human judgment. The models are powerful, but they need management, oversight, and substantial context to produce real value. That’s the skill I’ve developed—directing AI agents strategically, not just prompting them casually.
I’m part of a new class of professionals: business operators who can now build their own solutions because AI has democratized this capability. You don’t need a CS degree. You need business context, clear thinking about problems, and the ability to partner with AI effectively.
Q: What can you expect from engaging with this content?
A: A few things:
Empowerment. The realization that you can build solutions that seemed out of reach.
Builder’s satisfaction. That deep reward from creating useful things from scratch.
Strategic capability. Viewing AI as a force multiplier for your work, not just another tool.
A Little About Me (Aaron Nam)
I’m Aaron Nam. Currently, I serve as Senior Director of AI Operations at PandaDoc, where I build AI applications for our go-to-market and G&A teams and teach them how to use AI tools effectively. Previously, I was Chief Operating Officer at Dynapt Inc.
My path has included roles in go-to-market strategy, partnerships, product development, and business operations with companies like Bain & Company, Google, Johnson & Johnson, and Adobe. I’ve also experienced startup life, serving as a Chief Business Officer and co-founding my own venture.
My dive into AI coding grew from wanting to be more effective in my roles. As someone without a traditional technical background, I was surprised by what became possible when I learned to build with these tools. It changed my perspective on what business operators can accomplish.
On a personal note, my Christian faith is the foundational part of who I am. It shapes a belief that our work finds its richest meaning when we use our gifts to serve and empower others—a perspective I find in writers like Timothy Keller and John Mark Comer. My hope for this platform is an expression of that: to share what I’ve learned in a way that is authentic and genuinely helpful as you navigate your own path in this era.