cognitive-archaelogy-tribunal

Development Roadmap

Last Updated: 2025-11-19 Current Version: 0.2.0 Target Version: 1.0.0

This roadmap outlines the planned evolution of the Cognitive Archaeology Tribunal, prioritized by impact and aligned with the System Analysis.

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Current Status (v0.2.0)

✅ Completed:

• Ingestion chambers for 4 data types
• Processing modules (4 of 5 functional)
• Public archival configuration
• Publishing workflows
• Documentation framework
• Example datasets
• Governance infrastructure (this release)

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Sprint 1: Foundation & Governance (1-2 weeks)

Priority: CRITICAL

Focus: System governance, metadata standards, privacy enhancement

Tasks

1.1 Metadata System Implementation

• Create metadata.py utility module
• Integrate with all output generators
• Add UUID generation to all outputs
• Implement Dublin Core compliance
• Add DataCite schema support
• Update example outputs with metadata

Agent: General-purpose Deliverables: All outputs have standard metadata with UUIDs Success Metric: 100% of outputs include metadata

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1.2 License & Consent Infrastructure

• Create choose_license.sh script
• Create consent manifest template
• Add license validation to publishing workflow
• Create SPDX header automation
• Document legal requirements

Agent: General-purpose Deliverables: License chooser, consent templates, validation Success Metric: All published datasets have LICENSE and CONSENT files

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1.3 Privacy Enhancement

• Implement semantic sanitization (LLM-based)
• Create allowlist-based approach
• Add multi-pass sanitization
• Create human review checklist
• Add legal disclaimer templates
• Enhance sanitize_for_public.sh

Agent: General-purpose Deliverables: Enhanced privacy protection system Success Metric: Zero privacy leaks in test datasets

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1.4 Browser Tab Module Completion

• Implement BrowserTabAnalyzer class
• Add tab group analysis
• Add temporal clustering
• Add domain categorization
• Match feature parity with other modules
• Update ingest_tabs.sh to use module

Agent: General-purpose Deliverables: Fully functional browser tab analyzer Success Metric: Feature parity with other analyzers

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1.5 Data Validation Layer

• Create JSON Schema definitions
• Implement schema validation
• Add HTML structure validation
• Create helpful error messages
• Document schemas

Agent: General-purpose Deliverables: Validation layer for all inputs Success Metric: Malformed data caught with clear errors

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Sprint 2: Cross-Layer Synthesis (2-4 weeks)

Priority: HIGH

Focus: Unlock transformative value through unified analysis

Tasks

2.1 Discovery Phase

• Analyze potential connections across all 4 layers
• Identify entity types (topics, domains, concepts)
• Map relationship types
• Document synthesis opportunities
• Create connection examples

Agent: Explore agent (thorough mode) Deliverables: Connection map, synthesis spec document Success Metric: 10+ connection types identified

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2.2 Synthesis Engine Development

• Create SynthesisEngine module
• Implement entity extraction across layers
• Build cross-layer knowledge graph
• Add temporal correlation analysis
• Create relationship inference
• Implement pattern detection

Agent: General-purpose Deliverables: Working synthesis engine Success Metric: Generate unified knowledge graph from multi-layer data

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2.3 Synthesis Outputs

• Generate unified inventory
• Create cross-layer knowledge graph
• Build temporal correlation reports
• Add insight generation
• Create synthesis visualizations

Agent: General-purpose Deliverables: Synthesis output formats Success Metric: Answer cross-layer queries (e.g., “show resources related to X”)

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Sprint 3: Visualization & Testing (1-2 months)

Priority: MEDIUM

Focus: Make data beautiful and ensure reliability

Tasks

3.1 Visualization Pipeline

• Generate Cytoscape.js visualizations
• Create D3.js timeline charts
• Build domain frequency charts
• Export to SVG/PNG formats
• Create HTML viewer templates
• Add interactive features

Agent: General-purpose Deliverables: Auto-generated visualizations Success Metric: Every knowledge graph has visual representation

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3.2 CI/CD & Testing

• Set up GitHub Actions workflows
• Write unit tests (pytest)
• Create integration tests
• Add example data tests
• Implement cross-platform testing
• Set coverage targets (80%+)
• Add pre-commit hooks

Agent: General-purpose Deliverables: Complete test suite and CI pipeline Success Metric: 80%+ test coverage, all tests passing

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3.3 Performance Optimization

• Add streaming processing for large files
• Implement progress bars (tqdm)
• Add parallel file scanning
• Create incremental processing
• Add resume capability
• Optimize memory usage

Agent: General-purpose Deliverables: Optimized processing pipeline Success Metric: Handle 1M+ files without crashing

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3.4 Git LFS Setup

• Configure Git LFS for large outputs
• Set size thresholds
• Document LFS usage
• Create migration guide
• Add LFS to CI/CD

Agent: General-purpose Deliverables: Git LFS configuration Success Metric: Repository size stays manageable

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Sprint 4: Temporal Analysis (1-2 months)

Priority: MEDIUM

Focus: Track cognitive evolution over time

Tasks

4.1 Temporal Engine

• Implement concept drift detection
• Build interest trajectory mapping
• Create knowledge accumulation metrics
• Add trend analysis
• Implement prediction models

Agent: General-purpose Deliverables: Temporal analysis engine Success Metric: Generate evolution reports

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4.2 Temporal Visualizations

• Create “cognitive growth rings” viz
• Build interactive timelines
• Add concept evolution animations
• Create comparative visualizations

Agent: General-purpose Deliverables: Temporal visualizations Success Metric: Beautiful evolution visualizations

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Future Sprints (Backlog)

Plugin Architecture (HIGH Value)

• Design plugin API
• Create plugin loader
• Build example plugins
• Create plugin documentation
• Set up plugin marketplace

Agent: General-purpose Estimated Effort: 3-4 weeks

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REST API (MEDIUM Value)

• Design API endpoints
• Implement FastAPI backend
• Create API documentation (OpenAPI)
• Build client libraries (Python, JS)
• Add authentication/authorization

Agent: General-purpose Estimated Effort: 4-6 weeks

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Collaborative Features (HIGH Value)

• Design multi-user architecture
• Implement access control
• Create merge strategies
• Build collaborative annotation
• Add real-time sync

Agent: General-purpose Estimated Effort: 6-8 weeks

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Export Bridges (MEDIUM Value)

• Obsidian export (markdown + graphs)
• Notion export (databases)
• Roam Research export
• Zotero export
• Anki export

Agent: General-purpose (per bridge) Estimated Effort: 1-2 weeks per bridge

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Interactive Web UI (HIGH Value)

• Design UI/UX
• Build React frontend
• Integrate D3.js visualizations
• Add Three.js 3D graphs
• Implement search and filter
• Create annotation features

Agent: General-purpose Estimated Effort: 8-12 weeks

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Semantic Search & RAG (HIGH Value)

• Implement embedding generation
• Build vector database
• Create RAG pipeline
• Add question answering
• Implement smart recommendations

Agent: General-purpose with Claude API Estimated Effort: 4-6 weeks

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Educational Materials (MEDIUM Value)

• Create tutorial notebooks
• Record video walkthroughs
• Develop coursework
• Design workshop templates
• Write case studies

Agent: General-purpose Estimated Effort: 4-6 weeks

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Dataset Marketplace (MEDIUM Value)

• Build dataset registry
• Create search/browse UI
• Add download tracking
• Implement citation generation
• Add quality ratings

Agent: General-purpose Estimated Effort: 6-8 weeks

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Version Milestones

v0.3.0 - Governance & Privacy (2 weeks)

• Complete Sprint 1
• All outputs have metadata
• License/consent infrastructure
• Enhanced sanitization
• Browser tab module complete

v0.4.0 - Cross-Layer Synthesis (6 weeks)

• Complete Sprint 2
• Synthesis engine functional
• Unified knowledge graphs
• Cross-layer queries working

v0.5.0 - Visualization & Testing (10 weeks)

• Complete Sprint 3
• Auto-generated visualizations
• 80%+ test coverage
• Performance optimized

v0.6.0 - Temporal Analysis (14 weeks)

• Complete Sprint 4
• Evolution tracking
• Temporal visualizations
• Trend predictions

v1.0.0 - Public Release (20-24 weeks)

• All core features complete
• Documentation comprehensive
• Tests passing
• Ready for wide adoption

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Agent Handoff Guide

When to use which agent:

General-purpose agent:

• Implementation tasks
• Code development
• Documentation writing
• Script creation
• Most development work

Explore agent (thorough mode):

• Understanding codebase connections
• Discovering patterns
• Analyzing relationships
• Pre-implementation discovery
• Use before building cross-layer synthesis

Plan agent:

• Breaking down complex features
• Creating implementation plans
• Architectural decisions
• Sprint planning

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Contributing to Roadmap

To propose new features or changes:

1. Create issue with [Roadmap] prefix
2. Describe feature and value proposition
3. Estimate effort and dependencies
4. Suggest sprint placement
5. Tag with enhancement label

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Success Metrics

Technical

• All modules at feature parity
• 90%+ test coverage
• < 1% error rate on valid inputs
• Handle 1M+ files without issues

Community

• 100+ GitHub stars
• 10+ public datasets released
• 5+ forks with contributions
• 3+ academic citations

Impact

• Used in published research
• Featured in creative projects
• Taught in courses
• Referenced in media

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Document ID: CAT-ROADMAP-001 Status: Active Version: 1.0.0 Last Updated: 2025-11-19

See also: System Analysis

Governance

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