Agentic systems architecture
Designing the boundaries, tools, context, and control structures that make an agent useful beyond a single impressive run.
Dakota Smith
AI Systems Architect & Full-Stack Engineer
I build agentic systems, delivery harnesses, enterprise web platforms, and developer tools. The aim is not to make a model look capable. It is to make the surrounding system observable, governable, and safe to change.
The work joins technical architecture with the operating decisions that determine whether AI-enabled change can be trusted.
Designing the boundaries, tools, context, and control structures that make an agent useful beyond a single impressive run.
Connecting implementation to evidence, review, policy, and release decisions so change can be understood and governed.
Translating emerging capability into durable operating models rather than treating adoption as a sequence of tool purchases.
Capability matters. So do authority, provenance, isolation, verification, and the human decision that releases a change. These principles keep those concerns in the architecture rather than in the afterthoughts.
Enterprise platform architecture across .NET, CMS, TypeScript, and React.
Inspect the systems recordAgentic systems and delivery harnesses that keep state, evidence, policy, and consequential authority outside the model session.
Read the current positionBuilding toward AI innovation leadership by turning emerging capability into durable operating models.
Current position AI Systems Architect & Full-Stack Engineer
Explore the field guideThe Work index is the concrete record. Email is the direct route for professional conversations; GitHub and LinkedIn provide the broader public context.