Owned storefront lane SCBE Offers
Direct packages, no Shopify shell

Buy from the site you are already standing on.

This is the owned AetherMoore buy lane: package cards, direct checkout, public manuals, delivery guidance, and support routes in one place. The point is to reduce friction, not to make buyers wander through the repo.

Pick a package Open the buyer start guide
Direct Stripe checkout Manual-first delivery Support route on-site
Why this page exists

The homepage is the front door. The manuals are the operator layer. This page is the storefront layer that sits between them, with the narrative training companion kept visible instead of hidden as side lore.

Buyer logic

Each offer needs four things: price, fit, proof, and recovery.

  • Price is public before checkout.
  • Each package points to a manual or proof surface.
  • Delivery expectations are explicit.
  • Support stays on the owned site instead of a third-party storefront.
Companion training artifact

The Six Tongues Protocol is the memory layer, not a separate franchise detour.

  • Use the toolkit and manuals when you need the operator path.
  • Use the training vault when you need datasets, projector weights, and benchmark proof.
  • Use the free chapter when you want the same mechanics embedded in story form so the system actually sticks.
Catalog

Choose the smallest useful package.

These are the current public packages. The goal is not to sell the whole SCBE universe at once. The goal is to let a buyer pick one concrete lane and start.

Flagship package

AI Governance Toolkit

$29one time

Templates, thresholds, decision records, and a manual-first path for governed AI workflows.

Manual Starter pack Thresholds
  • Decision record template
  • Threshold worksheet
  • Pilot checklist
  • Recovery and delivery path
Buy toolkit Read manual
Builder lane

AI Security Training Vault

$29one time

Training data, projector weights, benchmark surfaces, and a Colab-friendly path for governed model work. It also pairs cleanly with the free chapter if you want the narrative memory layer alongside the raw assets.

Training data Benchmark Colab
  • SFT dataset lane
  • Projector weights
  • Benchmark suite
  • Model-training proof surface
  • Companion story lane
Buy vault Inspect benchmark lane
Operator packet

HYDRA Agent Templates

$9one time

Ready-made agent roles, packet shapes, and launch structures for small governed swarms.

Templates Packets Swarm ops
  • Role scaffolds
  • Packet naming patterns
  • Launch structure examples
  • Manual and verification path
Buy templates Read manual
Automation lane

n8n Workflow Pack

$49one time

Governed workflow building blocks for teams that want a clearer automation path without starting from zero.

Automation Workflow pack Ops
  • Importable building blocks
  • Governance-aware workflow patterns
  • Manual-first setup
  • Delivery and recovery route
Buy workflow pack Read manual
Creator workflow

Content Spin Engine

$19one time

Source-once creator workflow for adapting, reviewing, and publishing content with less drift across channels.

Content ops Review Publishing
  • Source-to-channel workflow
  • Faster review loop
  • Lower content drift
  • Manual and support path
Buy content engine Read manual
Training doctrine

Built like a real training academy because governed AI needs discipline.

The Training Vault is not just a bag of JSONL files. It is the doctrine behind the lane: standardized cohort foundation first, role specialization second, squad integration third. The goal is not to breed one benchmark king. The goal is to train a governed pack that can work together under pressure.

1. Cadet Phase

Shared core before ego.

Every model gets the same foundation first: Sacred Tongues, governance invariants, triangulated multi-view training, and the shared memory layer. This is where the structural lift shows up and where the squad learns the same rules before any member gets a special role.

Standardized cohort foundation
2. Role School

Specialize only after baseline competence.

Once a model clears baseline metrics, it branches into a role lane: leader/router, critic/judge, coder, retriever, governance verifier. You do not get specialists by skipping the basics. You get them by building on a shared identity and then pushing targeted tutoring where each member is weak.

Different jobs, same doctrine
3. Squad Phase

Promotion comes from team proof.

The final test is not solo loss. It is mission performance as a bonded pair or squad. We score success, safety, latency, complementarity, disagreement handling, and recovery. The pack gets stronger because the members learn how to work together, not because one model dominates the rest.

Promotion only after real proof
Anti-pattern: narrow obedience plus erased identity may look efficient for a few runs, but it produces brittle systems that break the moment the environment changes. The vault is built to reject that path and train adaptive governed units instead.
Get the full pipeline + Colab lane Read the training route
Comparison

Use the package that matches the job.

Offer Best for Public proof/manual Checkout
AI Governance Toolkit Teams starting governed AI workflow design Toolkit manual $29
AI Security Training Vault Builders training or evaluating governed models Benchmark lane $29
HYDRA Agent Templates Operators launching small governed swarms HYDRA manual $9
n8n Workflow Pack Automation teams that want importable governed building blocks n8n manual $49
Content Spin Engine Creator workflows and multi-channel publishing Content manual $19