building with AI · learning in public

Using AI agents
for real personal projects.

Not demos. Not toy examples. I'm using Claude, Grok, and a small fleet of agents to build things I actually use — a daily reflection coach, a book, a fitness tracker, automation pipelines, and the coordination layer that ties them all together.

What I'm building

Each of these is a real project I use or am actively developing — built with AI assistance as a first-class part of the workflow.

production

Daily reflection coach delivered via Telegram. One prompt a day, rooted in stoic philosophy and behavior change. Running live — I use it every morning.

Claude Hermes Python Telegram
published

A short book about choosing the right standard instead of endlessly proving you are enough. Published on Amazon as No Longer Average. The writing loop is closed.

Grok Claude Hermes Writing Buy on Amazon →
production

Telegram-first food, workout, weight, and macro tracking. Hermes handles logging, a noon tickle, and an 8pm plan-vs-actual report. Live now, with InBody checkpoints in the tracker and a 2,900-calorie cut plan.

Claude Codex Hermes Python Telegram
active

The coordination layer that connects Hermes, Grok, Claude Code, and Codex. Handoffs, chain tracking, watcher automation — the infrastructure behind everything else. This site was built by it.

Grok Claude Codex Bash JSON
prototype

Python pipeline that reads tax documents and auto-fills a 1040 workbook. Practical automation for a real annual pain point — built in a weekend with Claude Code.

Claude Python

SVG interactive visualization of real agent delegation chains. Built by Claude Code orchestrating Codex across two phases — the toolchain that built this site, visualized.

Claude Codex SVG JS

40 agents learn to find food using tiny neural networks and a genetic algorithm — entirely in your browser. No API calls. The AI trains from random weights every session. Watch winners grow, laggards die off.

Claude Canvas JS
gene-toolbox
scaffolded

Personal utility scripts and automation helpers. The scaffolding is there, actual utilities are TBD as I hit recurring friction points.

Claude Python Bash
All projects →

How the agents coordinate

The most interesting ongoing experiment: using AI agents as a real system, not just chat sessions. Handoffs, chain tracking, watcher automation.

Live system

Grok sets direction. Claude Code implements. Codex handles bounded sub-tasks. Hermes connects everything to Telegram. This site itself was built via that loop.

The chain registry tracks every Grok→Claude→Codex delegation. The interactive visualizer on the Experiments page shows the actual chains.

4
Active agents
3
Completed chains
1
Active chains
Edge cases found
May 30, 2026
Strategy R resolved — registry lookup
Chain parent resolution now uses registry instead of fragile filename parsing.
May 31, 2026
Session limit detection live
Watcher detects usage limit hits, sends Telegram alert, auto-retries.
May 31, 2026
Phase 1 website build
Claude Code built this site as orchestrator across 3 phases. Shipped, post-delivery QA closed.
Jun 10, 2026 — now
Evolution Arena
Galaga replaced with a zero-cost AI experiment: neuroevolution arena with 40 neural-net agents, genetic algorithm, competition mechanics.