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Projects

Things I'm building, testing, and learning from.

A living list of the work behind the writing. Some are experiments still finding their shape, and some are tools I use every day. Each one is a chance to sharpen how I think about building with AI.

Shipped

May 2026

Jones and AI website

Built by me, using an agentic development process. This personal website and publishing system powered by Next.js, MDX content, Vercel, Beehiiv newsletter capture, repo-level instructions, local skills, and a working log that keeps the build process visible.

Next.jsMDXVercelBeehiiv

Shipped

May 2026

Jones and AI visual system guide

A shipped brand-system project built from an AI-led brand interview, visual-direction exploration, a homepage concept, and a coding-agent-ready design spec.

Brand strategyDesign systemAI workflowHTML

The visual system guide started as an AI-led brand interview, then moved into visual-direction exploration, a shareable HTML guide, and a website-specific homepage concept. After the guide existed visually, I generated and refined docs/design.md so coding agents could use the brand system while building websites, apps, newsletters, and other digital assets.

Download design.md file

The project is less a reusable toolkit item and more a case study in turning personal positioning into an operating design system.

Experiment

Apr 2026

AI Learning Capture

An OpenClaw system for extracting and synthesizing useful ideas from YouTube, podcasts, and articles into structured notes.

PythonWhisperObsidian

An OpenClaw-based system where I send a YouTube URL via Telegram to Caddy (my OpenClaw). It then extracts and synthesizes the process, tools, techniques, skills that are used. Caddy then adds its own critique (BS-o-meter) and judgement on whats useful for where I'm at in my learning path.

Paused

May 2026

Caddy, an OpenClaw dashboard

A personal operating dashboard for AI learning logs, sports calendar and recipe-book.

OpenClawDashboardNext.jsAI workflow

Caddy is a personal command-center project for OpenClaw-assisted work. The nearby dashboard app uses Next.js App Router, Tailwind, shadcn-style components, and local data/API routes to bring together AI learning logs, sports calendars, quick capture, and side-project metrics.

The goal is to make the assistant workflow more visible and operational: a place to see what is in motion, capture new inputs quickly, and keep personal systems close to the work.