For Engineers Who Build

Build for problems, not frameworks or AI hype.

Not another tutorial. Not another hot take. Just the decisions, trade-offs, and hard-won lessons from building AI systems, architectures, and software that runs when it matters.

AI in Production — Real implementations, not demos
Architecture Decisions — Why, not just how
Failure Logs — Lessons from what broke
Signal Over Noise
DECYON
AI Systems
Architecture
Decisions
Production