Private production framework

Forja Yggdrasil

Private creative-production framework with durable evidence and separate generation, review, promotion and release authority.

Overview

Problem

Generative pipelines often collapse creation, approval and publication into one ambiguous path.

Design

Artifacts move through explicit staged states; review and promotion never imply commercial/public release.

Outcome

A durable production model where technical validity, human approval and publication remain different decisions.

Verification

Public evidence focuses on authority boundaries and state transitions, not unpublished production data.

Creative pipelineReview gatesEvidenceHuman approvalCreative systemsGovernanceProduction

Architecture

  1. candidate generation
  2. technical validation
  3. human review
  4. promotion
  5. separate publication authority
  6. durable evidence
Public architecture diagram for Forja Yggdrasil

Components

component

Candidate state

Generated work exists without implied approval.

component

Review gate

Human inspection and explicit decision authority.

component

Promotion

Durable internal state distinct from public release.

component

Release gate

Separate authority for publication or commercial release.

Decisions

active

Selection is not approval

Generation and technical validity must not silently grant human approval.

active

Promotion is not publication

Internal durable state remains distinct from external release authority.

Timeline

  1. Controlled review frameworkmilestone · stable-local
  2. Publication boundarymilestone · enforced
  3. Generation, review, promotion and release authority remain separate — public_boundaryevidence · 2026-08-11

Experiments

Releases

No project-specific public release record.

Evidence

public_boundary

Generation, review, promotion and release authority remain separate

Generation, review, promotion and release authority remain separate

source-contract · checked 2026-08-11 · fresh until 2027-08-11

Boundaries

The public case study documents the control model without exposing datasets, unpublished assets or release automation.

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