Agentic Engineering
Most people use AI to write code. I use it to build organizations.
Most people use it to write code. I use it to build organizations.
Agentic Engineering — a term Andrej Karpathy brought into focus in early 2026 — is the emerging discipline of building software systems with AI agents at their core. The industry conversation centers on development methodology: how to architect, orchestrate, and govern autonomous coding agents.
I take it one layer up.
My work applies Agentic Engineering to organizational design: how one person, aided by a system of AI agents, can produce the output of an entire organization. Not faster coding. Structural capability.
Three principles
- Agency over Code — The goal is capability formation, not code output.
- Architecture over Prompts — Not prompt tricks; structural orchestration.
- Constitution over Speed — Autonomy must be governed to remain controllable and evolvable.
Frameworks
The following frameworks emerged from building real products, not from theory:
- AOA — Agentic Organizational Architecture: Five layers from strategy to execution.
- OTLT — Two-Time Model: Why capability acceleration without structural coherence leads to failure.
- Capability Density: Engineering output capacity per unit.
Products built this way
Every product below is built by one person using these principles:
Ready to build your AI organization?
I build AI-native systems. Not just teach you how to use AI tools.
