Connect how teams work
to products and operations.
Becoming AI Native means defining ownership, validating AI against real work, and building the foundation to operate reliably. We shape the changes that fit your organization’s current stage.
01
ORGANIZATION & WORKFLOWS
Work together with AI
Define human and AI roles, decision rights, and review responsibilities. Turn individual know-how into shared workflows and playbooks.
Roles & ownership
Workflow playbooks
Training & adoption
02
AI & PRODUCT DELIVERY
Validate against real work
Evaluate AI, RAG, and agents using real questions, documents, and edge cases. Connect retrieval, tools, and human review into a dependable service.
AI & RAG evaluation
Agents & tools
Quality, cost & latency
03
PLATFORM & OPERATIONS
Build for ongoing operation
Connect shared development environments, deployment automation, and monitoring. Define how teams manage quality, incidents, and cost as they improve the product.
Delivery automation
Observability
Operational governance
What we build: an AI operating model, validated workflows and evaluation sets, and repeatable delivery and operations.
From AI content automation to service ordering and delivery, these are products I have designed and built. They show how I move from an idea to validation and ongoing operation.
AI CONTENT PIPELINE
AI Slop
An automated publishing experiment in which AI plans stories and scenes, creates imagery, and carries the work through publication as an ongoing comics and video pipeline.
A showroom SaaS for browsing and ordering sites, games, comics, shorts, kiosks, and notification services—turning an idea into a path through delivery and operation.
I created a relaxing paper-boat journey through Seoul and a competitive survival game beneath a rain of bombs. Each focused playtest becomes reusable Lua systems and better creation tools.