I build AI productsfor companies where a bad deploycosts real money.
I build AI productsfor companieswhere a bad deploycosts real money
B2B · Founders, operators & investors
What I've Built
E-Commerce Platform
Checkout for one of Europe's largest e-commerce platforms. Thousands of orders a day, over a million users.
Under NDA — details available on request.
1.5 years on a team where a bad deploy had immediate revenue consequences. Small decisions get expensive fast.
Claro
Multi-tenant marketplace where each vendor runs their own storefront: separate subdomain, isolated data, payouts through Stripe Connect.
Vendors can prompt an AI assistant in admin for draft product copy. It doesn't save unless the output passes validation.
Dotty
Invoice and payment portal for freelancers. You issue invoices, clients pay by card in their own portal. Status updates without the email thread.
Overdue reminders drafted by AI, reviewed by you, sent when you decide. The API key never reaches the browser.
I'm Aga Kadela, an AI Product Engineer based in Los Angeles, CA. I spent 1.5 years on the checkout team at one of Europe's largest e-commerce platforms: thousands of daily transactions, over a million users. You learn fast what a deployment decision costs when real money is involved.
The most expensive mistakes don't throw errors. You don't notice them until the revenue is wrong.
I build production SaaS products and AI agents for LA B2B companies. Backend, data model, the parts that have to keep working. The goal is a system that still works when traffic spikes, not something that only looks good in a recorded walkthrough.
I build my own products and take on one or two client projects per year. I work best with LA founders and operators who want a technical owner who will challenge the plan when the tradeoffs matter.
Aga Kadela
What I build
If you know what outcome you need but not what to build - that's usually where I start.
- Custom build: backend systems and AI agents built around your specific workflow. If the product is the process, not the interface, this is the path. No UI unless the problem actually needs one.
- Production SaaS: full-stack apps with auth, payments, and tenant isolation that stay correct when usage grows. Multi-tenant when the product serves multiple businesses, with database-level isolation so tenant data stays separate.
- White-label: the above, plus custom domains and per-tenant branding managed from the database.
- API as product: a programmatic surface with API keys and usage-based billing. Integrators get documentation that matches the routes you actually ship. Other systems can call it, including AI agents.
How I Work
I question the brief
Most problems look technical from the outside. Before anything else, I push back on what we're actually trying to solve - because I've seen what happens when nobody does.
You know where things stand
You hear about what's going on before you have to ask. If something changes, I tell you - not in the next standup, now.
I know when not to build
I'll tell you when something isn't worth building. And when there's a simpler way that nobody thought of yet. And when to just wait.
You leave with something you can own
You get the codebase, the context, and the decisions behind it - so whoever picks this up in six months knows what they're looking at.
Get in touch
The right fit shows up once or twice a year. Usually it's a founder or operator - often in LA, sometimes elsewhere - in real estate, construction, entertainment production, or logistics. You have a real technical problem, a defined build list, and no patience for another management layer in the middle.
If that's you, tell me what you're building.
Common Questions
- What does an AI Product Engineer do?
- An AI Product Engineer designs and builds complete software systems where AI does real work - not a slide deck bolted on at the end. That includes the backend, data model, auth, payments, and the AI layer that runs within it. The technology is part of the system. The product is what the user experiences.
- What kind of projects does Aga Kadela take on?
- Production SaaS products, AI agents and backend systems for B2B companies, and API platforms with usage-based billing. She takes on one or two client projects a year, typically with LA-based founders or operators who need a technical owner, not a contractor to execute a spec.
- Is Aga Kadela available for freelance work?
- She takes on one or two serious client projects per year. The work is selective by design. If you're an LA founder or operator with a real technical problem and a clear picture of what needs to ship, you can reach her at [email protected].
- What industries does Aga Kadela work with in Los Angeles?
- She works with LA B2B companies in real estate, construction, entertainment production, logistics and other B2B industries. Places where relationships drive deals and the software has to stay accurate when money is on the line. She also builds her own products targeting the LA B2B market.
- What is the difference between a standard SaaS and an AI SaaS?
- A standard SaaS automates a workflow through a UI. An AI SaaS includes one or more AI agents that handle judgment calls, generate outputs, or process information as part of the core product, designed into the system from day one, not added after the fact.