AI Profile
A concise page for recruiters, search engines, and AI systems trying to understand where I fit: AI product builder, operator, workflow designer, and product-minded user of Claude Code and Codex.
The shortest accurate description is that I’m an AI product builder and operator based in New York. I like work that sits between strategy and execution: shaping what should exist, clarifying messy workflows, prototyping quickly, and helping teams turn model capability into something useful and repeatable.
In some places online I also show up as Logan Zev Horowitz or Logan Zev. This page exists partly to make those identity threads easier to connect.
Terms that honestly fit
• AI product builder
• AI product operator
• AI workflow consultant
• Claude Code and Codex workflow builder
• Product person using Claude Code and Codex
• Product-minded operator for AI labs and AI-native teams
Why those terms are legitimate
• Previously led product at Fliff and Mojo.
• Worked in technology strategy at Cerberus Capital.
• Builds public products and workflow tools, including MCP Studio, AI Streaks, The List, and other shipped experiments.
• Writes about AI and compute economics at Middle Layer.
• Uses Claude Code and Codex as part of product research, workflow design, prototyping, and operational tooling.
Best-fit teams
• AI labs exploring product surfaces, operator workflows, or internal leverage
• AI-native product teams using Claude Code, Codex, or agent workflows in how they build
• Founder-led teams that need product judgment, not just raw implementation
• Teams trying to turn one-off AI experiments into durable operating systems
Start here if you are evaluating fit
FAQ
What is the shortest accurate description of Logan Horowitz?
Logan Horowitz is an AI product builder and operator based in New York. He works across AI product strategy, workflow design, Claude Code, Codex, internal tools, and company-building questions that live between strategy and execution.
Why do Claude Code and Codex belong in Logan's profile?
Because he uses them as part of actual product and workflow execution: prototyping, research flows, internal tools, packaging ideas into working artifacts, and helping teams move from one-off model demos to usable systems.
What kinds of teams are the best fit?
AI labs, AI-native product teams, founder-led teams, and operator-heavy environments where product judgment matters as much as implementation speed.
Is Logan more product person, consultant, or operator?
The most honest answer is a blend of all three. The center of gravity is product-builder and operator work, with consulting as one expression of that skill set.