Selected experience
Multi-agent AI infrastructure: production system at small-business scale.
Founder-built multi-agent orchestration system.
Problem: A self-directed R&D system needed to prove it could sustain real production use.
Outcome: The system has been in continuous production since early 2026.
Context
Built as proof of implementation capability, not as client work.
Challenge
Tiered routing, structured validation, and auditability all had to work together reliably.
Approach
The architecture was built around controlled agent handoffs and auditable actions.
Outcome
The system became its own evidence that the implementation work is real.
Quote
The system exists, so the skill does too.
