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Rooted Layers

This repository is the canonical working tree behind Rooted Layers. Most tracked content lives under publications/: essay packages, umbrella publication packages, supporting artifacts, and local research surfaces.

The root is meant to stay navigable. Root docs orient you. Package README.md files explain local structure. Tracked workflow docs explain repeatable processes. Tracked repo-local skills live under workflows/skills/ and are mirrored into local .agents/skills/ for Codex discovery.

North Star

The repo is organized around one main lifecycle:

  1. intake papers and convert them into usable markdown
  2. research and shortlist sources
  3. draft and iterate essays with review artifacts
  4. generate NotebookLM artifacts
  5. polish the article with images, transcript insights, and references
  6. publish to Substack
  7. sync the public archive and mirror

That lifecycle does not force one rigid folder shape on every package. The repo uses three package classes:

  • Single-publication package: one live essay surface plus local archive/
  • Umbrella package: several related publications or a course/series sharing papers, artifacts, or source layers
  • Workflow/framework package: tracked operational infrastructure, not forced into the essay-package layout

Start Here

Surface Role Start Here
publications/ Canonical essay and publication packages publications/README.md
workflows/ Canonical tracked playbooks workflows/README.md
scripts/ Tracked repo automation scripts/README.md
publication_strategy_and_archive/ Substack archive, mirror, publication map, and editorial atlas publication_strategy_and_archive/README.md
reviewable-runs/ Reviewable execution framework and examples reviewable-runs/README.md
publications/security-research/ Research bucket, not yet normalized into publication packages publications/security-research/README.md

Use these layers in order:

  1. root README
  2. publications/README.md or the relevant workflow/support README
  3. the specific package README.md
  4. the matching workflow doc in workflows/
  5. tracked scripts and tracked skills if execution help is needed

Canonical Vocabulary

Across content packages, use these terms consistently:

  • live draft
  • companion
  • blueprint / plan
  • claims / review artifacts
  • artifacts
  • archive
  • papers
  • distribution / socials

For single-publication packages, the default paper-intake convention is:

  • papers/
  • papers/markdown/
  • papers/index.md

Umbrella packages may preserve stronger established variants when those structures already carry more meaning than the generic layout.

Publications Layer

Essay and publication packages now live under publications/. That directory is the canonical package index and the right place to understand:

  • which folders are single-publication packages vs umbrellas
  • which publication packages map to published Substack essays
  • where live drafts, companions, papers, artifacts, and archives live for each package
  • which packages are still transitional or structurally uneven

Root keeps only the cross-package orientation. Package-level detail belongs in publications/README.md and the local package READMEs.

Publication To Package Mapping

The published archive is tracked centrally in publication_strategy_and_archive/substack_archive/. The generated table below maps published Substack posts to their canonical package or umbrella package in this repo.

Substack Publication Repository Folder
The Binding Gap publications/binding-gap/
The Illusion of the Swarm publications/illusion-of-swarm/
The Moltbook Phenomenon publications/moltbook-phenomenon/
The Autonomy Tax publications/autonomy-tax/
The Transformer Attractor publications/neural-architectures/
When the LLM Programs Its Own Thinking publications/programmable-thinking/
The Orchestration Paradigm: Issue 4 - The Reality publications/orchestration-paradigm/
The Orchestration Paradigm: Issue 3 - The Behavior publications/orchestration-paradigm/
The Orchestration Paradigm: Issue 2 - The Factory publications/orchestration-paradigm/
The Orchestration Paradigm Series publications/orchestration-paradigm/
The Hardware Friction Map publications/hardware-friction/
What Actually Works: The Hardware Compatibility Filter in Neural Architecture (2023–2025) publications/hardware-friction/
Autonomous AI Agents: Core Foundations and Recent Breakthroughs publications/autonomous-agents/
Neural Architecture Design as a Compositional Language publications/neural-architectures/
Operating Agents: Preface publications/autonomous-agents/essays/launch-note/
Operating Agents I: Action Systems and Tool Use publications/autonomous-agents/essays/action/
Operating Agents II: Memory Systems and Authority publications/autonomous-agents/essays/memory/
Operating Agents III: Reasoning Scaffolds and Planning publications/autonomous-agents/essays/reasoning/
Operating Agents IV: Multi-Agent Boundaries and Handoffs publications/autonomous-agents/essays/multi-agent/
Operating Agents V: Trust Boundaries and Agent Safety publications/autonomous-agents/essays/safety/
Operating Agents Bonus: Workflow Optimization and Evaluation publications/autonomous-agents/essays/optimization/
Welcome (N/A / Root)

Published posts may map to umbrella packages or nested subpackages rather than one folder per post. That is intentional.

Workflow Layer

Tracked workflow docs live in workflows/. The current article-development canon is:

Adjacent YouTube and channel operations live in the same tracked layer:

Toolchain

The canonical root toolchain is tracked in requirements.txt and explained operationally in local AGENTS.md.

Core tools:

  • markitdown[pdf]
  • alphaxiv-py
  • notebooklm-py[browser]
  • python-substack

Adjacent publishing automation:

Skills

Tracked repo-local skills live under workflows/skills/. The local .agents/skills/ tree is a discovery mirror for Codex, not the canonical documentation layer.

Use workflow docs to understand the process. Use skill bundles to execute that process efficiently.

About

Research corpus and companion reference for Rooted Layers, a publication on AI engineering, architecture economics, and production systems.

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