Hello, I am
Kelvin Throns builds the AI agents that do the repetitive reading, sorting and drafting a team would otherwise do by hand. He is most interested in the unglamorous part: making an agent reliable enough that people stop double-checking it.
About me
How AI agents earn trust, and what it takes to keep them dependable once they are live.
Kelvin designs agents around a narrow, well-understood job rather than a broad promise. He defines what the agent must never get wrong, builds the escalation path for everything outside that boundary, and instruments the whole thing so drift shows up in a dashboard rather than in a customer complaint.
An agent is only useful once people stop checking its work. Kelvin treats that moment as the real launch date.
Core expertise
AI agent design, evaluation and monitoring, prompt architecture, and human escalation paths.
Kelvin works on the full life of an agent: choosing the job it should do, defining the boundary where it must hand back to a person, evaluating it against real historical cases before launch, and monitoring its behavior afterwards. He is deliberate about scope, because an agent that does one job perfectly beats one that does five jobs unpredictably.
- AI Strategy
- Business process automation
- Operational efficiency
- Workflow architecture
Focus: Turning complex business processes into simple, intelligent systems.