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Projects

24 projects spanning mobile, web, AI orchestration, and automation.

Portfolio

Major Projects

24 projects across mobile, web, AI, and automation

GBuild

Currently Building

Build anything. Smarter.

A macOS desktop app that orchestrates a fleet of AI coding agents through 5 first-party drivers (Claude Code, OpenClaw, Hermes, Codex, shell + sandboxed bring-your-own) from one calm, voice-first interface. One shell: Lattice, a voice-first command bar whose power surfaces (Mission Control, AI Video Studio, ThingStore) ship as native Apps inside it; the legacy second shell was deleted in a 26,000-line single-shell consolidation. Electron plus a Rust sidecar over JSON-RPC (916 registered methods), an on-device voice pipeline (MLX Whisper STT, Kokoro TTS, Gemini Live realtime), a fully local Qwen3 RAG layer, bidirectional Obsidian sync, full MCP lifecycle management, and the "G" mascot. 6,308 commits and 275 notarized releases in its first 81 days. Its research arm, the Semiochemical Context Layer, compresses agent protocols into roughly 1-token pheromone codes. Marketing site live at gbuild.app; the desktop app is in private development.

6,308 commits in 81 days275 notarized releases916 RPC methods
ElectronRustReactNext.jsxterm.js

Voice Agents

Currently Building

An operating system you can talk to.

GBuild's voice layer: dictation, conversational, and realtime modes over OpenAI Realtime and Gemini Live (3.1 Flash Live), with on-device MLX Whisper STT and Kokoro TTS. An intent router turns speech into tool calls that operate macOS apps, files, and folders, GBuild itself, and the agent fleet, behind destructive-intent confirmation and transcript redaction. Trained in a custom Voice Harness Lab where per-turn human feedback on real conversations becomes an approved patch to the harness source, plus a training center of scripted voice skits and router benchmarks. A proactive agent completes a PRD and CRM records live from a running conversation; phone-calling agents are deployed internally in a test environment.

Dictation / conversational / realtimeVoice Harness Lab + training centerPhone agents in internal test
OpenAI RealtimeGemini LiveMLX WhisperKokoro TTSTelnyxRust

ThingStore

Currently Building

A marketplace that verifies before it trusts.

A signed, sandboxed app marketplace for AI-built software, inside GBuild. Every publish clears a 5-layer automated gate (manifest schema validation, secret/PII scan, capability-ceiling lint, static CSP analysis, LLM risk review) plus egress-allowlist scrutiny; every install verifies an Ed25519 publisher signature over a SHA-256 content hash before a byte runs. Installed apps live in their own Electron session partition with deny-by-default permissions, and their only network path is a loopback CONNECT broker that resolves DNS internally to block rebinding. Revocation holds even offline. Supply-chain security for an app store, built solo.

5-layer publish gateEd25519 + SHA-256 verify chainRevocation holds offline
Cloudflare WorkersRustTypeScriptEd25519 / WebCryptoR2

The Foundry

Currently Building

Models that earn their way into the product.

GBuild's on-device model line. ModernBERT/DeBERTa encoder classifiers fine-tuned on synthetic data generated by typed-field corruption (so the training data costs nothing), evaluated against human-labeled gold sets, and promoted only past a paired-bootstrap 95% LCB significance bar with a champion/challenger harness. The first shipped model is a Rust runtime contact ranker with a versioned feature contract to its Python trainer and a Spearman rank-correlation gate. The keystone grounding verifier scored 97.5% on its own synthetic holdout and 62% on the gold set, a 35-point overfit the gates caught, published rather than hidden.

Paired-bootstrap 95% LCB gatesSynthetic data at $0 marginal97.5→62% overfit caught
PythonModernBERT / DeBERTaRustPyTorch

ThingMaker

Currently Building

From conversation to shipped app.

The no-code on-ramp inside GBuild: a conversational interview (greeting → discover → suggest → stage → cherry-pick → cross-check → review → produce) that turns "what do you want to make" into a live PRD plus five supporting docs, persisted atomically, then hands off to a builder agent seeded with the export. The interview happens in a React-Three-Fiber 3D room with four interviewer personas, mode-choreographed cameras, and a WebGL/WebGPU backend selector.

8-phase interview state machine6 auto-generated design docs3D authoring room
RustReact Three FiberTypeScriptThree.js

GBuild Cloud

Currently Building

The edge backend behind the desktop.

A 14-Worker Cloudflare service mesh behind one API gateway: passwordless magic-link identity with 4-provider OAuth2 + PKCE built from primitives, a key-custody LLM proxy with tier-aware daily dollar ceilings, queue-metered usage accounting into Postgres, Durable Object WebSocket hubs, SMS/voice telephony over Telnyx with Ed25519-verified webhooks, crash and telemetry sinks on R2, and an autonomy engine governed by off-switches, cooldowns, and circuit breakers. Zero-hop Service Bindings between Workers; workers.dev bypass disabled as a security control.

14 Workers in repoService Bindings, zero-hopSpend ceilings at the edge
Cloudflare WorkersDurable ObjectsQueuesKVR2TypeScript

Semiochemical Context Layer

Pheromones, taught to AI agents.

The research arm of GBuild. A pheromone-inspired language that lets an AI agent decode a 1-token code into a full behavioral protocol, the way an ant's antenna turns one molecule into a fixed action. Three inventions (PHEROCODE, STIGFIELD, KAIROGRADIENT) over one shared decoder, the Antenna, held to a lab that measures a compression x fidelity frontier instead of a headline. Research v0.1: honest about where decoding holds and where it breaks, with live wiring into GBuild a deliberate next step.

79×–145× per-signal density535-token Antenna, paid once4/12 codes hold ≥0.8
LLM AgentsResearchGBuildStigmergyClaude

PrayerMap

Making the Invisible, Visible.

A full-stack mobile app connecting communities through interactive, real-time prayer mapping. Features a 6-dashboard command center with AI behavior monitoring, CRM pipeline, and RAG training controls.

46 edge functions198 migrations6 dashboards
React NativeExpoSupabaseMapbox

Puber

Currently Building

Built for the long miles.

An ultramarathon support app connecting 100-mile trail runners with pacers and crew, plus a per-race coordination board for rides, lodging, drop bags, and last-minute replacements. Expo + Supabase + a Next.js ops console: 25 migrations with RLS on every table, 14 edge functions, a Postgres match state machine, an offline Race Kit, and safety designed in as architecture. Built end to end and running locally; not yet deployed. Target: iOS + Android for the 2026 100-mile season.

25 migrations14 edge functionsiOS + Android target
ExpoReact NativeSupabaseMapboxNext.js

Johnson Power Rankings

Currently Building

A world ranking for the 200+ mile ultra.

A data-driven, weekly world ranking system for ultramarathon runners, launching with the 200+ mile tier. A pure-TypeScript engine (course-difficulty model, iterative field strength, time-decayed weighted-mean ratings, backyard scoring) over a Supabase backend with 11 migrations, RLS on 20+ tables, 6 edge functions, and a Monday recompute cron. A Next.js web app, a separate admin panel, and an Expo mobile app. Built with my dad as the domain expert. Live in preview; public launch pending.

Pure-TS rating engine11 migrationsLive in preview
Next.jsSupabaseExpoTypeScript

Claude Code Toolkit

Production infrastructure for AI agents.

An open-source infrastructure layer for Claude Code with 13 interactive skills, 7 specialized agents, a Smart MCP Loader that auto-enables servers via NLP scoring, and 48 scaffolding templates. Built entirely with Claude Code.

13 skills7 agentsSmart MCP Loader
Node.jsClaude CodeMCP ProtocolChromaDB
GitHub

Neurotoken

Adaptive thinking allocation.

A zero-dependency prompt scoring engine that classifies every Claude Code prompt on a complexity × stakes matrix, recommending one of 11 model/effort tiers from haiku/low to opus/max. Adversarial-tested with 183 passing tests.

183 tests11-tier matrix<100ms scoring
Node.jsESMClaude Code HooksZero Dependencies
GitHub

Directors Chair

Mission control for an autonomous agent fleet.

A real-time mission control dashboard monitoring an autonomous agent fleet across job search, project maintenance, and infrastructure.

12 agents integratedBuilt on Mother HenLive and running
Next.jsSupabaseQdrantClaude API

Mother Hen

Mission control framework.

The underlying framework powering Directors Chair. Provides agent lifecycle management, pipeline orchestration, persistent state, and multi-operator support. Built with Next.js, Supabase, Qdrant, and Discord. Private beta, with open-source release planned.

Private betaFramework layerOSS planned
Next.jsSupabaseQdrantDiscord

LivCut

Privacy-first video editing.

A professional video editor built with Swift, Metal, and CoreML: 66 Metal compute kernels and 11 on-device AI engines. All AI processing runs locally on the Apple Neural Engine.

66 Metal kernels11 AI enginesFully on-device
SwiftMetalCoreMLAVFoundationVideoToolbox

Challenge Cup

Ryder Cup for your crew.

A multi-platform golf tournament app with AI-powered caddie, ESPN-style broadcast leaderboards, and format-per-segment flexibility. Built for Apple Watch, Garmin, and mobile.

Apple Watch appGarmin Connect IQAI caddie
React NativeSwiftUIGarmin Monkey CAWS Amplify

Living Earth

The planet, alive.

A WebGPU-powered globe visualization rendering live aircraft, satellites, ships, weather, and prayer energy at 60fps. GPU-computed boid flocks and particle simulations on mobile via react-native-wgpu.

20K live aircraft14K satellitesGPU boid sims
WebGPUThree.jsTypeGPUreact-native-wgpu

MCP-WP

AI Meets WordPress.

A LangGraph-based architectural prototype for multi-agent WordPress analysis. Orchestration harness and realtime Cursor-to-Pinecone sync are live; 27 agent personas defined in Postgres.

27 agent personas7 LangGraph agent typesPinecone vector retrieval
PythonLangGraphMCP ProtocolFastAPI

Ora

Multi-agent orchestration, extracted from production.

An AI orchestration framework extracted from the production MCP-WP system. Coordinates Claude Code, Cursor, GitHub, Pinecone, LangSmith, and Slack into a unified development pipeline with file-based agent coordination.

Multi-tool orchestrationFile-based agent coordinationExtracted from production MCP-WP
ShellClaude APIPineconeMCP

InkProof

Print preflight for Canva.

A Canva app that catches print production issues before they cost money. Checks safe zones, image resolution, CMYK safety, and dimensions. Built and submitted to the Canva Marketplace; currently under review.

Zero data collection4 check typesClient-side only
Canva Apps SDKTypeScriptPrint Production

Rapid Studio

AI-Powered Creation.

A GPU fleet orchestrator for rapid AI content generation. Microservices architecture with FastAPI orchestrator, Redis queue, and RunPod GPU workers generating images in under 1 second.

<1s generationGPU fleetMicroservices
PythonFastAPIRunPodSDXL-Turbo

n8n Media Workflow

Autonomous content engine.

An autonomous Instagram content system that analyzes accounts, extracts style patterns, generates brand-aware content at 5 posts/hour, and learns from human feedback via Slack.

5 posts/hourGPT-4V analysisFeedback learning
n8nGPT-4VDALL-E 3Supabase

MeetingCost

See what meetings really cost.

A macOS menu bar app that tracks the live dollar cost of any meeting. Swift 6 + SwiftUI, StoreKit 2 IAP, App Sandbox, zero network. Built end-to-end by a Claude Code app-builder agent from a SPEC.md file, 11 days from scaffold to the Mac App Store.

11 days to live1 commitFree + $2.99 IAP
Swift 6SwiftUIStoreKit 2XcodeGenClaude Code
Mac App Store

PasteDrop

Smart clipboard transforms.

A macOS menu bar app that detects what you copy, JSON, URLs, hex colors, emails, code, UUIDs, and offers one-click transformations tailored to that content type. Native, fully offline, Keychain-sandboxed.

8 content types$4.99Fully offline
Swift 6SwiftUIMenuBarExtraApp Sandbox
Mac App Store
Projects | Jeffrey Michael Johnson | Mobile, Web, AI & Automation