I help teams design AI-enabled workflows that stay aligned, scalable, and useful over time.

This service focuses on reducing drift, preserving context, and improving continuity across AI-assisted projects, agents, prompts, workflows, and product iterations. It is especially useful for founders or teams building with generative AI, automation tools, AI agents, or rapid MVP platforms where the product can lose its original intent as changes accumulate.

Typical outcomes include:

AI workflow architecture

Continuity strategy

Drift-risk review

Prompt and context structure

Agent workflow planning

Product-state preservation strategy

Refactor and change-control guidance

Compute-efficiency and rework reduction planning

AI-enabled SaaS operating model

This service is connected to my work on SMI, a continuity framework designed to help AI-built applications preserve context, reduce drift, improve efficiency, and remain aligned across changes.