Selected experience
Multi-agent AI infrastructure: production system at small-business scale
Self-directed R&D, not client work
Multi-agent orchestration needed tiered LLM routing, structured action validation, and an audit trail in production.
Outcomes
- Continuous production since early 2026
- Tiered LLM routing implemented
- Structured action validation enforced
- Audit trail retained across agent actions
The implementation skill is verified by the system's existence, not by testimonial.
Locate → Land → Live, retroactively, is the shape of the system itself.
Self-directed R&D, not client work, produced a multi-agent AI infrastructure system at small-business scale. The work was not presented as a client engagement. It was built to verify implementation through existence: a production system with tiered LLM routing, structured action validation, and an audit trail.
The system has been in continuous production since early 2026. That continuity is the evidence. It shows the implementation skill in the way the platform behaves, not in a testimonial or a case study claim.
Locate identified where the orchestration needed to change. Land built the tiered routing and validation path. Live kept the audit trail and production discipline intact.