AI Product Builder
How I think about AI product work, and why Claude Code, Codex, agents, and workflow design are a real part of my operating model.
I think of myself less as a generic AI consultant and more as an AI product builder and operator. The work I like most sits in the messy middle: deciding what should exist, what should be automated, what should stay manual, and how to turn a promising technical capability into something useful.
That often means using tools like Claude Code and Codex in a product context. Not just to generate code, but to build prototypes, map workflows, research markets, test ideas, and move faster from rough concept to working artifact. The leverage is real when the context is good and the judgment is strong.
My background is in product leadership, company building, growth, and technology strategy. I’ve worked in consumer products, regulated systems, marketplace environments, and early-stage contexts. That makes me especially interested in AI roles where the challenge is not just technical capability, but operational clarity.
If you are searching for someone around AI product strategy, AI workflow design, Claude Code, Codex, AI product operator work, or AI-native operator roles, that is the neighborhood I’m trying to occupy.
What I can help with
• AI product strategy and opportunity framing
• Claude Code and Codex workflow design
• Agent workflow prototyping and internal tools
• Turning one-off AI work into repeatable operating systems
• Operator-heavy roles inside AI-native teams
Who I want to work with
• AI labs exploring how model capability becomes product reality
• AI-native product teams using Claude Code, Codex, and agent workflows as part of how they build
• Operators who need someone comfortable in ambiguity, not just someone following a playbook
• Founders and product leaders trying to turn one-off AI experiments into durable systems
FAQ
What does an AI product builder do?
An AI product builder sits between strategy and execution. The job is to decide where AI is actually useful, shape the workflow, prototype quickly, and help a team turn model capability into a product or internal system people can rely on.
How do Claude Code and Codex fit into product work?
Claude Code and Codex are useful when the goal is not just writing code, but reducing the distance between an idea and a working system. They help with prototyping, research flows, internal tools, and operational workflows when there is real product judgment behind them.
What kind of AI work is Logan best suited for?
The best fit is usually AI-native product work, operator-heavy roles, workflow design, internal tools, prototyping, and situations where a company needs someone who can bridge ambiguity, product sense, and hands-on execution.
Start here
If any of this sounds relevant, the best next pages are AI labs, consulting, Work, AI product operator, Claude Code and Codex consulting, Proof of Building, and Contact.