Projects, in motion.

Going on

Builders keep producing one-off outputs — a mock-up here, a half-documented repo there — with no system underneath.

What I built

Built a reusable, multi-workshop portal: passwordless Supabase auth, per-workshop access control, and a productization workflow that works before or after the build.

What came out

A live, gated resource hub — prompts, setup guides, templates, and downloads — that stays useful long after the session.

Going on

A car rental business running on manual booking and scattered tracking.

What I built

Built the customer-facing booking website and the admin dashboard that manages the whole operation — fleet, bookings, customers, and payments.

What came out

One connected system: customers book online, the business runs everything from a single dashboard.

Going on

AI tools moving faster than the governance, security, and oversight model around them.

What I built

Built a hub that brings AI governance into one place: policy, risk, controls, evidence, and the people side of oversight.

What came out

A clearer, practitioner-facing foundation for governing how AI gets used.

Going on

AI builders move fast with Lovable, Replit, Claude Code, and Cursor — but aren't ready for serious customer security questions.

What I built

A practical readiness pathway covering system boundaries, vendor maps, risks, controls, evidence, and compliance direction.

What came out

A workshop, checklist, and implementation sprint that turns AI-built apps into products customers can trust.

Going on

People have ideas, tasks, and tools — but no structure to ship the small ones.

What I built

Built ADHD-friendly templates and workflows for getting from stuck to started.

What came out

A creative product line rooted in real executive-function needs.

Going on

Builders working across disconnected AI tools with no operating system to hold the work.

What I built

Built an operating system for AI builders: structure, workflows, and reusable assets in one place.

What came out

A repeatable way to run AI build work instead of starting cold each time.

Going on

GRC practitioners juggling spreadsheets, evidence, and tribal knowledge across tools.

What I built

Designed a Work OS that holds controls, evidence, process, and practice in one place.

What came out

A working, practitioner-first GRC operating system.