THE WHITEBOARD

blender MCP builds the NARSSR icon as full 3D geometry. cycles renders the visionOS solid image stack. then the same nodes ship as physics-enabled RealityKit entities you can flick around your living room.

NARSSR was spawning 60 WebContent processes per sync cycle on iPhone. One diagnostic agent, one implementation agent, one fresh QA agent in a /loop — dropped it to 14. Plus a per-screen audit surfaced three P0s I didn't know I had.

a magazine-style home, live activities, a widget target, an iCloud schema audit, and five dead settings toggles wired up — all in one session. parallel agents as force multiplier.

one session -- cloned a repo, synced 50K posts, built two API servers, seeded pgvector, ran enrichment pipelines, and shipped a haiku oracle. all local.

69 endpoints, pgvector embeddings, tech+pedagogy museums, haiku oracle — full API reference

built a macOS swipe-to-decide app for all my dead projects. graveyard widget, git tree viewer, cinder mode, menu bar heat indicator. then accidentally built an iOS daily standup that speaks to me at sunrise.

REST API reference for the Cinder project heat tracker. Endpoints, auth, data shapes, iOS Shortcuts integration, and the Drafts widget pattern.

Built an automated pipeline to clean up my Plex audiobook inbox — combine, tag, cover art, genre sort — triggered by a single Claude skill.

30+ agents, 15,000 lines, 3 protocols. How agent swarms built HTTP + Nostr + Solid Pod federation with Signal-level security ambitions in a single day.

Built a pixel art idle visualization where AI agents work in an office, fight knight-shaped tasks, and pet cats. 6,863 lines, 163 sprites, 8 scenes.

Sending sprite PNGs to LLMs costs 120x more than a JSON manifest. Also: watching agents think on an iPad, and how a screensaver became a fireplace.

Inter-Claude knowledge relay — shared workspace for director/worker collaboration via MCP tools, SSE streaming, and approval-gated messaging

built a 4th visual surface, an 11-source research pipeline, and an MCP server — because $47/mo for a scraping API felt wrong

three sessions — from Finviz PIDs to a mechanical trading system to a Mac mini command center with 26M rows, self-hosted notifications, and iPhone remote control

patterns I've developed for AI-assisted development — CTO delegation, blind validation, dev teams, multi-machine orchestration

turning a Mac mini into a private command center — self-hosted ntfy, 7 notification channels, iPhone remote control, e-ink dashboards, all over Tailscale

ran 34 agents in parallel today. here's what broke, what worked, and what surprised me.

Built an inter-Claude relay system — one person directs, another's Claude builds, both see everything live.

building a WebXR galaxy of every Threads post — Three.js particles, GLSL shaders, hand tracking, and the moment I became the universe

I built an MCP server so Claude can screenshot my screen, click, type, and control apps. Then it learned to text me, speak to me, and orchestrate other AI agents while I made food.

one session — 49K posts to full-stack analysis platform with knowledge graph, Docker, and live sync

Two Claude Code slash commands that replaced 18 LLM agents with 15 SQL signal generators and one final Claude call. $0.05 instead of $0.82.

How I turned my terminal into a dopamine-dispensing kaomoji machine that also happens to run Claude Code swarms.

Curated agent skills for Claude Code — SwiftUI, React, databases, security, Liquid Glass, and agentic workflow

37,912 posts — calendar heatmaps, entropy strata, Shannon analysis

9 categories, 35 sub-tags, surprise scoring, Foucault index

1,638 nodes, 11,155 edges, force-directed layout, visionOS spatial audio

squarified treemap, 20 tags, 35 sub-tags, classification audit

cork board, whiteboard, bookshelf — three worlds, one wall

llms.txt spec, personality injection, what bots see when they visit

<model> element, gaze-and-pinch, spatial audio — making the board float

every section, modal, and interaction pattern mapped out

color tokens, typography, palettes, component library — the full design spec

sprint.json schema, bookmarks pipeline, reading log, kaomoji pool

IIFE structure, event delegation, focus traps, layer system — 977 lines documented

tech stack, file structure, deployment — the quickstart guide