Content Production System

Content Production System is a file-driven operating system for launch narrative, demo planning, content workflows, expert routing, and governed evidence. It starts from a route-context fixture so the project has route-context, memory, protocol, expert, evidence, and Aming Claw governance boundaries before product-specific code is added.

Project Shape

• system-fixture/ contains the instantiated route-context baseline.
• system-fixture/map/system-map.json defines domains, files, dependencies, and graph reconcile hooks.
• system-fixture/route-context/ owns visible route context and action policy.
• system-fixture/protocols/ defines starter file-backed protocols.
• system-fixture/experts/ defines routed expert lanes for content work.
• system-fixture/memory/ defines private feedback and lesson boundaries.
• system-fixture/evidence/ defines dispatch, merge, and close evidence gates.
• system-fixture/governance/ binds this system to Aming Claw backlog, graph, timeline, and close gates.
• content-system/ defines the first content production video demo contract: brief, storyboard, shot list, and reproducible capture/render pipeline.

Content Production Demo

The first governed content artifact is a technical product demo for the content production system itself. The demo shows how a fuzzy video goal becomes an expert-routed content plan, then a backlog-backed production contract with evidence checkpoints.

Core artifacts:

• content-system/demo-brief.md: audience, claim, duration, route evidence, and done definition.
• content-system/storyboard.md: scene-by-scene story with evidence checkpoints.
• content-system/shot-list.md: recording plan for each visible capture.
• content-system/render-pipeline.md: reproducible capture, narration, caption, assembly, and verification flow.
• content-system/test-scenarios/: executable scenario contract and current satisfaction/toolchain reports for media E2E readiness.
• content-system/capture-plan.md, content-system/narration-script.md, and content-system/captions/: source-controlled inputs for future CLI capture, voice, caption, and render automation.

Baseline Validation

Run:

python -m unittest discover -s tests

The tests confirm every JSON config parses, all manifest paths exist, route context exposes visible alerts and role policy, and the governance, expert, memory, and evidence layers are present.

Aming Claw Bootstrap

Recommended project id: content_sys

Reviewed bootstrap excludes:

• .git
• .pytest_cache
• __pycache__
• node_modules
• dist
• build
• .expo
• .next
• coverage