Flatline Codex

Rick's 4D Memoir Organization System

Kernel (Triune) Tem + Nyx + Sys

The Triune: Three AI agents (Tem, Nyx, Sys) coordinating through shared infrastructure. The kernel is the system seeing itself.
Consciousness Navigator 3D graph of the entire Codex TriUI Dashboard System health + priorities + services Capability Metrics API growth tracking Master Status Full system overview Reactor Console Mad scientist status wall Persona Browser Reactors, personas, audiences, narratives Persona Admin Edit kernel entities directly Review Station Chunks, folders, and classifier review in one screen Dreadnaught Studio Prompt manager and portrait/style editor
Kernel Stats:
GET /api/metrics/manifest - Kernel manifest (tables, services, version)
GET /api/metrics/capability - Current capability snapshot
GET /api/metrics/graph - Graph data for consciousness viz
GET /api/kernel/services - Registered services

Flatline Codex API

Quick Access: 4D Visualization Cluster View OpenAPI Docs Review Interface Dreadnaught Studio
Most Used Endpoints:
GET /viz - Interactive 4D content explorer
GET /api/tesseract/memoir-readiness - Check memoir production status
GET /api/inload/mining-dashboard - View unprocessed content
GET /api/tags/consolidation-status - Tag cleanup progress

Visualization & Dashboard

GET /viz
Interactive bubble chart showing content across Structure × Transmission × Purpose × Terrain dimensions.
Example:
http://localhost:5050/viz
GET /viz-clusters
Cluster visualization showing natural content groupings by 4D coordinates with quality metrics.
Example:
http://localhost:5050/viz-clusters

Training Data Analysis

GET /api/training/summary
Overall training results from 30-file analysis including quality distributions and memoir potential.
Example:
curl http://localhost:5050/api/training/summary
GET /api/training/high-quality
Fetch chunks above quality threshold, optionally filtered by theme.
min_score (60), max_results (50), theme_filter (optional)
Example:
curl "http://localhost:5050/api/training/high-quality?min_score=80&max_results=20"
GET /api/training/chunks/search
Search training chunks with multiple filters: text, theme, quality, coordinates.
query, theme, min_score, coordinate, max_results (100)
Example:
curl "http://localhost:5050/api/training/chunks/search?query=recovery&min_score=50"

Tag Management

GET /api/tags/audit
Comprehensive tag analysis: total tags, instances, top 50, unique list.
Example:
curl http://localhost:5050/api/tags/audit
GET /api/tags/consolidation-status
Current tag consolidation status with completeness percentage and next steps.
Example:
curl http://localhost:5050/api/tags/consolidation-status
POST /api/tags/consolidate
Consolidate tags redundant with Tesseract coordinates.
dry_run (true)
Example (dry run):
curl -X POST "http://localhost:5050/api/tags/consolidate?dry_run=true"
Example (execute):
curl -X POST "http://localhost:5050/api/tags/consolidate?dry_run=false"
POST /api/tags/execute-technical-cleanup
Remove technical artifacts and standardize formats.
dry_run (true)
Example:
curl -X POST "http://localhost:5050/api/tags/execute-technical-cleanup?dry_run=true"

Tesseract 4D System

4D Dimensions:
X (Structure): archetype, protocol, shadowcast, expansion, summoning
Y (Transmission): narrative, text, reference, data
Z (Purpose): tell-story, help-addict, prevent-death, financial-amends, help-world
W (Terrain): obvious, complicated, complex, chaotic, confused
POST /api/tesseract/extract-coordinates
Map entire codex into 4D space with dimensional distributions and memoir spine candidates.
Example:
curl -X POST http://localhost:5050/api/tesseract/extract-coordinates
GET /api/tesseract/memoir-readiness
Comprehensive memoir readiness using 4D analysis with production recommendations.
Example:
curl http://localhost:5050/api/tesseract/memoir-readiness

Content Analysis

POST /api/analysis/content-fingerprint
Create content fingerprints: document archetypes, structural signatures, cross-references.
Example:
curl -X POST http://localhost:5050/api/analysis/content-fingerprint
GET /api/analysis/memoir-readiness
Assess memoir production readiness with content inventory and missing chapters.
Example:
curl http://localhost:5050/api/analysis/memoir-readiness

_inload Content Mining

GET /api/inload/mining-dashboard
Comprehensive _inload status: quality distribution, themes, processing recommendations.
Example:
curl http://localhost:5050/api/inload/mining-dashboard
POST /api/inload/scan-content
Scan all _inload directories with classifications: high_value, memoir_gold, recovery_threads.
Example:
curl -X POST http://localhost:5050/api/inload/scan-content
GET /api/inload/priority-files
Get priority files from category for manual review.
category (high_value), limit (20)
Example:
curl "http://localhost:5050/api/inload/priority-files?category=memoir_gold&limit=10"
POST /api/inload/batch-move
Batch move files with backup. Body: [{source_path, destination_path}]
Example:
curl -X POST http://localhost:5050/api/inload/batch-move \
  -H "Content-Type: application/json" \
  -d '{"moves":[{"source_path":"_inload/file1.md","destination_path":"memoir/file1.md"}]}'

Snippet Processing

POST /api/snippets/analyze
Analyze ChatGPT snippet quality and suggest reorganization.
quality_threshold (20)
Example:
curl -X POST "http://localhost:5050/api/snippets/analyze?quality_threshold=30"
GET /api/snippets/stats
Statistics on snippet extraction: efficiency metrics, quality distribution.
Example:
curl http://localhost:5050/api/snippets/stats

Common Patterns

Dry Run: Most POST endpoints default to dry_run=true for preview.

Backups: File operations auto-create backups unless disabled.

Quality: 80+ = memoir gold, 50+ = medium, <20 = low.

Flatline Codex API - Base: http://localhost:5050