HALO — Fashion Store Prototype

HALO — Fashion Store Prototype(Client-Style E-Commerce Demo)

A fully interactive e-commerce prototype built with Next.js, TypeScript, and Tailwind. Features an AI-generated fashion catalog, dynamic collections, cart + checkout flow, and full internationalization (EN/ES). Designed for client-grade polish, clean component architecture, and seamless content updates.

Next.js
TypeScript
Tailwind CSS
i18n
E-Commerce
Cart + Checkout
AI-generated Catalog
UX Design
Membrane

Membrane(v0.2.0 — Now You Can Actually Look at It)

A minimal, file-based memory system for storing named things with arbitrary keys. Membrane keeps data as plain YAML files, adds explicit timestamps, and lets meaning emerge through language instead of schemas, workflows, or predefined models.

Rust
CLI
YAML
File-based
Schema-optional
Local-first
Memory System
Language-first
Fur

Fur(v1.0.0 — Stable Release)

A tool for managing long AI and human chats from the CLI. Supports structured sessions, its own DSL (FurScript), and VS Code highlighting.

AI
Chat History
Version Control
Markdown
Rust
CLI
Thought Forking
Yggdrasil

Yggdrasil(v0.2.4 — The Trivium of the Rootweavers 🔱)

Flattens a repo into a single document with index and contents. Export as Markdown or text for documentation, archiving, or AI use.

Rust
CLI
Codebase
Documentation
Flattening
AI-ready
Elaine

Elaine(v0.4.0 — Selectors, SIDs, Search, and Attachments)

A local-first, opinionated CLI reference manager for LaTeX and BibTeX users. Elaine treats references as atomic YAML objects, organizes them into explicit projects, and compiles deterministic, minimal BibTeX outputs. Designed for researchers who want transparency, version control, and compiler-like reliability instead of GUI-driven reference tooling.

Rust
CLI
BibTeX
LaTeX
Reference Management
Deterministic Output
Local-first
Research Tooling
Kolmarn

Kolmarn(v0.1.0 - Clean Kolmogorov-Arnold Networks 🧠📈)

A clean and interpretable implementation of Kolmogorov–Arnold Networks (KANs). Features smooth spline layers, regularization, and visualization tools for scientific machine learning, forecasting, and explainable AI research.

PyTorch
Spline Layers
Explainable AI
Scientific ML
Forecasting
Interpretability

Start Small or Go Big

Whether you need a rapid 2-hour technical block or a full sprint, the process is focused on tangible outcomes. Small engagements can scale into larger builds when you’re ready.