Everything below is mined directly from git history — commits since December 2025 — across more than thirty active repositories. One operator, a managed fleet of coding and research agents, and a self-hosted control plane that schedules, supervises, and audits their work.
Public and deployed work is shown in full. Private systems are described at an architecture level — no secrets, hostnames, or credentials.
The three systems that carry the most weight: the agent infrastructure, the product proving ground, and a production data platform built end-to-end.
A self-hosted AI orchestration monorepo — a Go/Postgres scheduler, a Chrome MV3 browser-automation extension, a multi-agent fleet manager, and a React operator dashboard — that routes work across Claude, Codex, Gemini, and Antigravity CLI runners.
A full bid-to-closeout construction-operations platform for exterior cladding contractors, hardened from prototype to a production DigitalOcean deployment in roughly two months.
A production NHL intelligence platform built from scratch to live in one quarter (~13 weeks, 190+ PRs): advanced analytics, trade lineage, and a fantasy team-builder.
Agent infrastructure, products, learning tools, the attention substrate, a game engine, ontology research, and the fleet backbone.
The control plane, deliberately decomposed into standalone, versioned repos in a May 2026 extraction + governance pass.
Operator dashboard grown 0 → 48 tab views (~21k lines TSX): dispatch, fleet telemetry, kanban with live polling, research, quota ledger, ontology. Full TypeScript-strict rollout + boundary-doc enforcement.
The extracted multi-agent runtime: steerer fan-out, a pane-wakeup watchdog that detects and unsticks frozen tmux panes, a 10-hook lifecycle framework, OTLP telemetry, and account-credential multiplexing.
Standalone Fastify sidecar bridging a Chrome MV3 extension to mesh: tab-lease APIs, a capture-modal pipeline with HMAC ingest, per-dispatch research witnesses, and a 16-row version compatibility matrix.
Fleet deploy + topology orchestration: canonical topology for a 6-box fleet, an 11-repo release-train catalog, ordered 4-phase deploys, health monitoring with failover, and a portable package planner.
Meta-repo tying 11 private repos under one manifest + release gate + a 490-line suite-doctor emitting structured JSON health reports (EP-01..EP-19 governance plan).
Shared TypeScript contracts (capture envelope, observation events, HMAC headers) consumed by 9 repos — a single source of truth for cross-component data shapes.
Also: llm-accounts (47), capture (32), emacs-context (11), operator-sdk (9), research-pipeline (8).
Public and self-hosted product surfaces beyond the flagship platform.
This site: grew to 10 Canvas/WebGL ecosystem simulations (each on its own subdomain), a Spotify playlist manager, a live multi-model debate surface, an ops dashboard, and a metamorphic visual-regression harness.
Self-hosted chess trainer built in 18 days: a pool of 4 warm Stockfish processes, multi-model LLM move coaching with an LRU cache, an adaptive Lichess-puzzle picker, and a sandboxed systemd service.
Self-hosted multi-user AI chat for a small trusted group (LibreChat + LiteLLM behind Cloudflare Access) with per-user spend caps and a subscription-ledger / route-decision API.
Early community-logistics co-op pilot (Next.js 16 + Firebase + Postgres) with a price-intelligence module to aggregate household demand.
Tools that turn reading, recall, and proof work into a tracked learning loop.
A native X11 HUD + Go service (~33,600 lines) that turns desktop activity into a real-time study coach: a target-run lifecycle engine, a proof-capture pipeline, and importable schema/client packages.
LLM-assisted math-proof visualization: parse → Lean 4 formal verification → SymPy computation check → Manim rendering, with a PDFium reader and Drive/Firestore sync. Concluded with a deliberate, clean public deprecation.
Standalone learning workbench: 11 routes (Today aggregator, cross-device PDF resume, spaced recall, glossary dependency graph, ontology atlas) with strict XState statechart discipline throughout.
A Personal Event Log substrate that correlates what the operator says, sees, and does into one queryable stream.
Always-on speech-to-text daemon writing HMAC-signed observations to mesh, an attention-window rendezvous protocol with a race-safe generation guard, and a voice-command reactor that fires local handlers.
Continuous multi-monitor capture with dual HLS hot/cold tracks, focus tracking, a host-local API, and a nightly AI archive-captioner running on a local GPU.
Physical-space tracking that fuses UWB positioning, IMU head orientation, and webcam face detection to infer which monitor has the operator's attention and drive window focus.
A strategy-game research artifact about projecting complex state faithfully.
An engine-first strategy game (TypeScript / PixiJS) where the engine owns all semantics and the UI is a pure projection: four rules profiles, fog-of-war commute invariants enforced in CI, an AI tournament balancer, and 10 watchable AI-vs-AI scenarios. Includes a 451-error strictness overhaul and a full a11y pass.
The vocabulary and belief layer that keeps the rest of the work coherent as it changes.
The operator knowledge substrate: a goal registry, a four-layer decision hierarchy, structured briefs for 8 sub-projects, and a research flywheel that evaluated 506+ topics in the window.
A 149-document corpus defining a layered ontology of digital life, with a typed four-rung abstraction backbone, a CLI slice-validator, and a formal olog fragment typing the event pipeline.
The infrastructure that makes a one-person, agent-assisted fleet operable.
GNU-stow dotfile management: profile-isolation-aware agent hooks, steerer autolaunch, capture/whisper systemd units, git push guards, and cross-agent session markers — the operational backbone of the whole fleet.
Custom Spacemacs layers for mesh integration: org-link types for mesh and proof surfaces, shell lifecycle event forwarding, attention-window binding, and a live key-coach HUD.
A clean, security-conscious first-party Chrome extension (playback speed, voice-repair EQ, per-site hotkeys, per-machine identity) with zero external network calls.
Each repository was analyzed with git log --since=2025-12-01: commit counts, date ranges, and the actual subsystems that shipped. Four cloned/forked repositories with no original engineering were checked and excluded. Some private repositories (financial records, scraping tools) are intentionally omitted entirely.
The same discipline — routing, auditability, review gates, and operator visibility — is what I help teams build into their own AI-assisted systems.