Archive Management: - Moved RALPH_LOOP, CANVAS, and dashboard implementation plans to archive/review/ for CEO review - Moved completed restructuring plan and protocol v1 to archive/historical/ - Moved old session summaries to archive/review/ New HQ Documentation (docs/hq/): - README.md: Overview of Atomizer-HQ multi-agent optimization team - PROJECT_STRUCTURE.md: Standard KB-integrated project layout with Hydrotech reference - KB_CONVENTIONS.md: Knowledge Base accumulation principles with generation tracking - AGENT_WORKFLOWS.md: Project lifecycle phases and agent handoffs (OP_09 integration) - STUDY_CONVENTIONS.md: Technical study execution standards and atomizer_spec.json format Index Update: - Reorganized docs/00_INDEX.md with HQ docs prominent - Updated structure to reflect new agent-focused organization - Maintained core documentation access for engineers No files deleted, only moved to appropriate archive locations.
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Atomizer Dashboard V2 - Implementation Status
Last Updated: January 14, 2026 Status: COMPLETE
Implementation Audit Summary
All phases of the Atomizer Dashboard V2 have been implemented.
Phase 0: MCP Chat Foundation - COMPLETE
| Component | Files | Lines | Status |
|---|---|---|---|
| MCP Server | mcp-server/atomizer-tools/src/ |
579+ | COMPLETE |
| Backend Services | backend/api/services/ |
1,897 | COMPLETE |
| Frontend Chat | frontend/src/components/chat/ |
6 files | COMPLETE |
MCP Tools Implemented:
list_studies- List all studiesget_study_status- Study detailscreate_study- Create from descriptionrun_optimization- Start optimizationstop_optimization- Stop optimizationget_trial_data- Query trialsanalyze_convergence- Convergence metricscompare_trials- Side-by-side comparisonget_best_design- Best design detailsgenerate_report- Markdown reportsexport_data- CSV/JSON exportexplain_physics- FEA conceptsrecommend_method- Algorithm recommendationquery_extractors- Extractor list
Phase 1: Canvas with React Flow - COMPLETE
| Component | Location | Status |
|---|---|---|
| Schema | frontend/src/lib/canvas/schema.ts |
COMPLETE |
| Intent Serializer | frontend/src/lib/canvas/intent.ts |
COMPLETE |
| Validation | frontend/src/lib/canvas/validation.ts |
COMPLETE |
| Templates | frontend/src/lib/canvas/templates.ts |
COMPLETE |
| Canvas Store | frontend/src/hooks/useCanvasStore.ts |
COMPLETE |
| Main Canvas | frontend/src/components/canvas/AtomizerCanvas.tsx |
COMPLETE |
Node Types (8):
- ModelNode, SolverNode, DesignVarNode, ExtractorNode
- ObjectiveNode, ConstraintNode, AlgorithmNode, SurrogateNode
Panels (6):
- NodeConfigPanel, ValidationPanel, ExecuteDialog
- ChatPanel, ConfigImporter, TemplateSelector
Phase 2: LLM Intelligence Layer - COMPLETE
| Component | Location | Status |
|---|---|---|
| Canvas Chat Hook | frontend/src/hooks/useCanvasChat.ts |
COMPLETE |
| Canvas MCP Tools | mcp-server/atomizer-tools/src/tools/canvas.ts |
COMPLETE |
Canvas Tools:
validate_canvas_intent- Validate graph before executionexecute_canvas_intent- Create study + optionally runinterpret_canvas_intent- Get recommendations
Phase 3: Bidirectional Sync - COMPLETE
| Feature | Status |
|---|---|
| Session persistence | COMPLETE (SQLite) |
| Context builder | COMPLETE |
| Canvas ↔ Chat bridge | COMPLETE |
| Study context loading | COMPLETE |
Phase 4: Templates & Polish - COMPLETE
| Feature | Status |
|---|---|
| Template selector | COMPLETE |
| Config importer | COMPLETE |
| Route: /canvas | COMPLETE |
File Inventory
MCP Server (mcp-server/atomizer-tools/)
src/
├── index.ts # Server entry (imports canvasTools)
├── tools/
│ ├── study.ts # Study management
│ ├── optimization.ts # Optimization control
│ ├── analysis.ts # Analysis tools
│ ├── reporting.ts # Report generation
│ ├── physics.ts # Physics explanations
│ ├── canvas.ts # Canvas intent tools
│ └── admin.ts # Power mode tools
└── utils/
└── paths.ts # Path utilities
Backend Services (atomizer-dashboard/backend/api/services/)
__init__.py
claude_agent.py # Full Claude API integration (722 lines)
claude_cli_agent.py # CLI-based agent (202 lines)
conversation_store.py # SQLite persistence (295 lines)
session_manager.py # Session lifecycle (425 lines)
context_builder.py # Context assembly (246 lines)
Frontend Canvas (atomizer-dashboard/frontend/src/components/canvas/)
AtomizerCanvas.tsx # Main canvas component
nodes/
├── index.ts # Node type registry
├── BaseNode.tsx
├── ModelNode.tsx
├── SolverNode.tsx
├── DesignVarNode.tsx
├── ExtractorNode.tsx
├── ObjectiveNode.tsx
├── ConstraintNode.tsx
├── AlgorithmNode.tsx
└── SurrogateNode.tsx
panels/
├── NodeConfigPanel.tsx
├── ValidationPanel.tsx
├── ExecuteDialog.tsx
├── ChatPanel.tsx
├── ConfigImporter.tsx
└── TemplateSelector.tsx
palette/
└── NodePalette.tsx
Canvas Library (atomizer-dashboard/frontend/src/lib/canvas/)
schema.ts # Type definitions
intent.ts # Serialization (174 lines)
validation.ts # Graph validation
templates.ts # Workflow templates
index.ts # Exports
Testing Checklist
To verify the implementation:
1. Build MCP Server
cd mcp-server/atomizer-tools
npm run build
# Expected: Compiles without errors
2. Start MCP Server
npm run dev
# Expected: "Atomizer MCP Server running in user mode"
3. Build Frontend
cd atomizer-dashboard/frontend
npm run build
# Expected: Compiles without errors
4. Start Dashboard
npm run dev
# Expected: Vite dev server starts
5. Browser Tests
- Navigate to
/canvas - Drag nodes from palette
- Connect nodes with edges
- Configure node properties
- Click "Validate"
- Click "Execute with Claude"
- Chat panel responds
What's Next?
The Dashboard V2 implementation is complete. Remaining work falls into:
Integration Testing
- End-to-end flow: Canvas → Intent → Claude → Study Creation → Optimization
- WebSocket stability under load
- Session recovery after browser refresh
Documentation
- Update ATOMIZER_PODCAST_BRIEFING.md (already done)
- Add user guide for Canvas interface
- Update README with new features
Optional Enhancements (Future)
- Phase 5: Tauri Desktop (see master plan)
- More workflow templates
- Advanced constraint types
- Real-time optimization progress on canvas
Original Ralph Loop Prompt (Archived)
The original autonomous development prompt is no longer needed since all phases are complete. The prompt below is kept for reference only.
Click to expand archived prompt
[Original prompt content - now obsolete]
All phases (0-4) have been implemented. The Canvas feature with React Flow
is fully functional with:
- 8 node types
- Drag-drop from palette
- Node configuration panels
- Graph validation
- Intent JSON serialization
- MCP tool integration
- Claude chat integration
Implementation completed via autonomous Claude Code sessions. Co-Authored-By: Claude Opus 4.5 noreply@anthropic.com