🏗️ Architecture: How should we enhance the Command Center to show the complet...

📋 Decision Context

Question:

How should we enhance the Command Center to show the complete MCP process, not just logged decisions?

Task: Analyze user feedback and MCP documentation to design complete workflow visualization

🎯 Decision Made

Chosen:

Transform Command Center from decision-only display to complete MCP workflow visualization with 8 lifecycle stages

Options Considered:

• No alternatives documented

💭 Reasoning

The Command Center should visualize the entire MCP workflow lifecycle: (1) MCP Init Dashboard, (2) Preflight context gathering, (3) Task execution (quick/orchestrated), (4) Decision logging, (5) 3-tier pipeline (RAW→EMBEDDED→GOLDEN), (6) Pattern mining, (7) Outcome reporting, (8) Session tracking. This provides complete visibility into what MCP is doing at every stage, making it a true "mission control" for AI operations. Benefits: better debugging, performance monitoring, educational value, multi-agent orchestration tracking.

📁 Files Involved

• docs/english/sessions/editor2/session-31/31.6-command-center-complete-mcp-workflow-visualization.md
• libs/libs-ai/gograb-ai/src/lib/components/command-center/command-center.component.ts

🔗 Related

• Decision ID: dev_1767909915455_rs71u0p
• Session: 31
• Workspace: editor2

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