I design and implement agentic AI systems directly on Replit, with a focus on controlled behavior, intent interpretation, and persona-based decision logic.
My work emphasizes explicit agent routing, modular AI components, and clear separation between intent, reasoning, and response.
I build and debug these systems hands-on within Replit’s runtime, using logs, APIs, and live execution to validate behavior.
Projects are intentionally minimal, transparent, and ownership-driven—designed to demonstrate real agentic thinking, not AI-generated templates.
Ideal for teams or founders who need clear, reliable agentic AI prototypes built and validated on Replit.