Curriculum / Track 04 · The Orchestrator
Track 04 // The Orchestrator

NAM.LU.DIN: Augmented Systems.

Agentic orchestration with Claude, Gemini, and ChatGPT. Two specimens of AI-built software you can drive right here on the page — a brewery oversight system and a priority queue — synthesised from intent into machine-enforced state.

Module 04.1

04.1NAM.LU.DIN — The Brewery Oversight System

An AI-built oversight system for the Grain → Glass mission of a craft brewery. Each keg is governed by a rigid state machine: a keg cannot skip from Sanitized to Delivered, and every transition is written to an immutable audit trail. The architecture pairs a Go backend with a Flutter client and a multi-tenant "Digital Cellar" — database-per-tenant isolation — while a layer of synthesised Sumerian nomenclature turns inventory into a Digital Repertoire.

Live Specimen · Keg Lifecycle Interactive
𒁹
KEG-001½ BBL · 15.5 gal · Main Brewery
EMPTY
Audit Trail · keg_history
Fig. 04.1 · Advance the keg through its enforced lifecycle. Skipping a state is rejected — exactly as the Go API returns HTTP 400.
  • Stewardship (AGRIG). The state machine holds institutional precision across the full Grain-to-Glass mission.
  • Digital Cellars. Database-per-tenant isolation for high-security multi-tenancy across craft breweries.
  • Cuneiform Synthesis. Ancient Sumerian nomenclature fused with a modern Go + Flutter stack.
NAM.LU.DIN Go + Flutter State Machine Multi-tenant QR Lifecycle
Module 04.2

04.2The Mighty Queue — Priority Orchestration

A task system built to kill decision fatigue by separating two axes that most tools conflate. Tier answers where a task lives — Slate (work-ready), Stack (queued), Seed (someday). Priority answers how urgent on a strict six-level ladder, from Urgent down to Interesting. Underneath, retry-resilient Google Apps Script logic uses AI-assisted debugging to survive sync delays and JSON parsing failures in shared environments.

Live Specimen · Dual-Axis Board Interactive
Sort by:
Click a tier header to collapse it; tap any task to walk it up the Urgent → Interesting ladder — it re-sorts by priority within its tier.
Fig. 04.2 · The dual-axis model — Tier (Slate / Stack / Seed) as collapsible sections, Priority (urgency) by colour. Rebuilt from the live React source — names & palette verbatim.
  • The Dual-Axis Model. Tier (context / location) is held strictly separate from Priority (urgency / importance).
  • Visual Logic. A color-coded six-level priority ladder (Urgent → Interesting) and Slate / Stack / Seed tiers for high-volume, at-a-glance triage.
  • Self-Healing Scripts. Retry-resilient Apps Script logic, debugged with AI, that absorbs sync delays and parse failures.
The Mighty Queue Dual-Axis Apps Script 6-Level Priority Retry-Resilient