Before You Build
Get the product direction straight - data, auth, how money moves, how AI fits - before the build locks in the wrong shape.
View serviceProfile
Aga Kadela
AI Product Engineer · Los Angeles, CA
Aga Kadela is an AI Product Engineer in Los Angeles building production SaaS, backend workflows, AI agents, and launch-ready systems for B2B teams.
The most expensive product mistakes usually do not throw errors. They stay quiet until revenue is wrong, permissions leak, or a workflow that looked fine in the demo meets real users.
I learned that on checkout systems where a bad deploy meant money stopped moving. That production lens now carries across SaaS, backend workflows, launch hardening, and AI features that need to stay useful after the demo.
I work with a small number of clients at a time, usually founders and operators who need judgment as much as implementation.
1.5 years on checkout systems with real revenue exposure.
Production context from one of Europe's largest e-commerce platforms.
Over a million users and thousands of daily transactions.
A small client roster so the work stays sharp and hands-on.
What I Do
Launch Readiness Sprint
Built it fast - now make sure it can handle real users, real money, and the demo you are about to give someone who matters.
View serviceProduction Rescue
Something broke - and it is hitting users, money, or the workflow the business actually runs on. I find the fault, fix what matters first, and tell you what happened in plain English.
View serviceCustom AI Build
You know the outcome you need. I build the system behind it - backend, data, money, schedules, the boring production stuff that has to work when it is not a demo anymore.
View serviceProof
FunnelScout
Multi-tenant SaaS with scheduled AI, tenant isolation, usage tracking, and spend controls.
Dotty
Launch-readiness audit and shipped fixes for payments, secrets, dates, and production risk.
Homepage portfolio
Short overview of the work mix: SaaS, launch hardening, and agent systems.
Contact
If the product is live, expensive, or about to matter, send what it is doing now, where it breaks, and what has to stay true in production.
[email protected]