
Personal OS
A public Markdown-based operating system for humans and AI agents, built around shared context, durable memory, and auditable workflows.

I'm an AI-fluent Product Leader focused on building intelligent systems that amplify human capability. I drive impact through prototyping, strategic vision, and shipping products that matter.
Outside of product, I'm drawn to systems that reward experimentation and judgment: day trading, investing, music production. I'm naturally curious about how people, incentives, and technology interact, and I tend to approach both work and hobbies with the same builder mindset.
Building AI-native products
Kajabi, Community.com, Adobe, JP Morgan, Pivotal Labs
MBA, UCLA Anderson

BS Computer Science, Morehouse
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A public Markdown-based operating system for humans and AI agents, built around shared context, durable memory, and auditable workflows.
A local-first, AI-native trading journal for options day traders. It pulls fills from Interactive Brokers, rebuilds them into round-trip trades, and coaches against your own rulebook — running on your machine, your database, and your choice of model.
An AI agent that turns a product niche into a complete, ready-to-review Etsy draft listing — product brief, SEO copy, competitor-informed pricing, and image briefs.
An autonomous trading bot for Kalshi daily high-temperature markets. It pulls National Weather Service forecasts, prices each contract, and places orders behind a deterministic risk layer it cannot override.
How I use Obsidian, GitHub, local models, and a task dashboard to give Claude, Codex, OpenClaw, and Town the same context.
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My go-to skills for personal, product, creator, and builder work.
Takes a job description and forks a tailored resume from the right baseline.
The biggest upgrade to my coding workflow. Forces the agent to think like a senior engineer: brainstorm and ask questions before writing code, and apply TDD.
Strips the tells out of AI-generated text — the patterns you stop seeing after a while.
Lets the agent watch a video and come back with a summary, the highlights, or a reference for other work.
Gives the agent named PM frameworks like pricing-tier-math and vet-a-feature, with gates that make it say no to weak ideas — the product judgment most skill packs skip.
What I reach for to research news and current events, so the answer reflects what's actually happened instead of stopping at the training cutoff.
Structured interview prep with feedback rigorous enough to be uncomfortable: practice drills, transcript review, and a story bank that carries between sessions instead of starting cold each time.
Free, self-hostable tools I use in place of paid software.
A free Granola replacement. I wrapped mine in a .app so it opens like any other Mac app.
A free Wispr Flow replacement.
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