lyr3
Building with intelligence at the dawn of applied AI
These are projects and experiments I've built recently — some for clients, some for myself. Each applies AI to make information more useful, decisions more efficient, and workflows more effective.
They're grounded in two decades of building, leading, and investing — from the seat of CTO, CEO, and PE operating partner. AI is reshaping how companies drive operations and deliver products even more profoundly than the web transformed commerce.
Don't Build AI Tools. Build With AI.
Writing: Creating AI-native companies that change category economics. June 2025.
AI-Driven Buyer Alignment
Project: Testing frameworks where AI compares your messaging to what your market actually hears — and surfaces gaps before you launch.
Model Context Protocol (MCP)
Project: Delivering quality proprietary content to AI decision systems using MCP.
Strategic decision feedback
Project: An application that uses AI to provide critical feedback in go-to-market decisions.
Consumer Product Selector
Project: AI-powered product selection across a wide range of consumer categories.
AI in Regulated Contexts
Project: Exploring how compliance, audit, and defensibility change when AI becomes part of the workflow.
AI-first companies
Projects: Creating structural cost advantages by building on AI from first principles.
Layers of AI data
Writing: The three layers of AI data. December 2024.
Preprocessed Repositories
Writing: Streamlining external data with preprocessed repositories. December 2024.
AI isn't just another tool — it's a shift in how we operate, deliver, and decide.
I'm especially drawn to places where it rewrites cost structures, reshapes interfaces, or expands who gets to build.