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Deep Dives

Case Studies

Technical build logs and architectural decisions behind each project. Real engineering problems, real solutions.

ML EngineeringIn Progress

The Foundry: An On-Device Model Line with Promotion Gates

GBuild’s own small models, held to a measurement discipline: synthetic training data generated by typed-field corruption (so it costs nothing), human-labeled gold sets, paired-bootstrap 95% LCB significance bars, and champion/challenger promotion. The first shipped model is a Rust runtime contact ranker with a versioned feature contract to its Python trainer. 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 and the case study leads with. Currently building.

Paired-bootstrap 95% LCB gates$0-marginal synthetic data97.5→62% overfit caught
Security EngineeringIn Progress

ThingStore: Supply-Chain Security for an App Store, Built Solo

A signed, sandboxed marketplace for AI-built apps inside GBuild. Every publish clears a 5-layer automated gate plus egress-allowlist scrutiny; every install verifies an Ed25519 publisher signature over a SHA-256 content hash before a byte runs; every installed app is confined to its own Electron session partition and a loopback egress broker that resolves DNS internally to block rebinding. Revocation holds offline. The known limits (a confirmed Seatbelt host-scoping defect, orchestrator-glue test gaps) are documented in a shipped inventory rather than hidden. Currently building.

5-layer publish gateEd25519 + SHA-256 verify chainRevocation holds offline
Voice AIIn Progress

Voice Agents: An Operating System You Can Talk To

The voice layer of GBuild: 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. Includes a custom Voice Harness Lab where per-turn human feedback on real conversations becomes an approved patch to the harness source, a training center of scripted voice skits and router benchmarks, a proactive agent that completes a PRD and CRM records live from a running conversation, and phone-calling agents deployed internally in a test environment. Currently building.

Dictation, conversational, realtimeOpenAI Realtime + Gemini LiveVoice Harness Lab + training center
Native macOSPublished

PasteDrop: 8 Days From Idea to the Mac App Store

A macOS menu-bar clipboard utility shipped through a new ship-apps pipeline. The entire codebase was written in a 21-minute sitting across three commits, then landed on the Mac App Store eight days later. PasteDrop is the pilot of a repeatable scaffold + template + XcodeGen + CLAUDE.md + ASC playbook system.

21-min codebase8 days to live80 tests
Mobile DevelopmentPublished

Building PrayerMap: React Native + Supabase + Mapbox

Full-stack mobile app architecture: real-time prayer connections, Mapbox GL integration, 6-dashboard admin command center, and a 3-tier AI behavior monitoring engine.

46 edge functions6 dashboards3-tier AI engine
Design SystemsPublished

Ethereal Glass: A Design System from My Idea to Figma to Production

How PrayerMap’s UI/UX was born in Figma as the "Ethereal Glass" design language, translated into a production React web app, then migrated to React Native with a 470-line animation preservation spec bridging Framer Motion to Reanimated and Skia.

Figma to production470-line animation spec60fps native target
Developer ToolingPublished

Claude Code Toolkit: Production Infrastructure for AI Agents

An open-source toolkit adding agent orchestration, smart MCP loading, quality evaluation, session intelligence, and project bootstrapping to Claude Code.

13 skills7 agentsSmart MCP Loader
AI InfrastructurePublished

Neurotoken: Adaptive Thinking Allocation for Claude Code

A prompt scoring engine that replaces static thinking allocation with a two-axis complexity × stakes matrix, 11 model/effort tiers, verb-aware parsing, context dampening, adversarial-tested signal tuning, and an opt-in ceiling mode for cost-optimized downgrade, all in zero-dependency Node.js.

183 tests11-tier matrixActive-ceiling mode
Multi-Agent SystemsPublished

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
OraPublished

Ora: An Orchestration Framework Extracted from Production

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 and a 5-minute bootstrap, 15-minute daily oversight model.

6-tool orchestrationFile-based agentsExtracted from MCP-WP
MCP ProtocolPublished

MCP-WP: A LangGraph Architectural Prototype for WordPress Analysis

A LangGraph-based architectural prototype for multi-agent WordPress analysis. 27 agent personas built on 7 LangGraph agent types, with Pinecone vector retrieval and a live orchestration harness. Performance scoring and revision loops are stubbed; the sync layer and orchestration are production.

27 agent personas7 LangGraph agent typesPinecone vector retrieval
AutomationPublished

The n8n Advantage: 29 Workflows Automating Everything

How I built 29 production n8n workflows spanning AI code review, daily orchestration, Slack bots, Instagram content generation, and session intelligence classification.

29 workflows14 active261 nodes
Mobile DevelopmentIn Progress

Puber: An Ultramarathon Support App, Built End to End

A community app for the 100-mile ultra world: connecting trail runners with pacers and crew, plus per-race coordination boards. Expo SDK 54 mobile app, a Next.js ops console, and a Supabase backend with RLS on every table, a Postgres match state machine, 14 edge functions, 5 pg_cron jobs, and an offline Race Kit. Safety is designed in as architecture. v1 is built and running locally; the target is iOS + Android for the 2026 100-mile season. Currently building.

25 migrations14 edge functionsRLS on every table
Multi-Agent SystemsIn Progress

GBuild: An AI-Native Build System

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 a calm, voice-first interface. Electron + a Rust sidecar over JSON-RPC (916 registered methods), pluggable agent drivers, an on-device voice pipeline (MLX Whisper, Kokoro, Gemini Live), a fully local Qwen3 RAG layer, bidirectional Obsidian sync, and full MCP lifecycle management. One shell: the "Lattice" cockpit, plus a menu-bar ambient presence; the legacy power-user portal was retired in a 26,000-line single-shell consolidation. Behind it: a 14-Worker Cloudflare edge backend, a signed app marketplace, and an on-device model line. 275 notarized releases shipped in its first 81 days. Marketing site live at gbuild.app; the desktop app is in private development. Currently building.

6,308 commits in 81 days275 notarized releases916 RPC methods
Data SystemsIn Progress

Johnson Power Rankings: A World Ranking for the 200+ Mile Ultra

A data-driven, weekly world ranking system for ultramarathon runners, launching with the 200+ mile distance tier. A pure-TypeScript ranking 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, in roughly two days. Live in preview; public launch pending. Currently building.

Pure-TS rating engine11 migrations~2 days, 36 commits
Case Studies | Jeffrey Michael Johnson | Technical Deep Dives