📄️ Orchestrator Comparison
5-orchestrator scoring matrix — Claude Code, CrewAI, LangChain, NemoClaw, OpenClaw — with radar charts, Command Center roles, and 4-agent consensus scores.
📄️ Frontend Comparison
3-frontend scoring matrix — Open WebUI, AG-UI + CopilotKit, Vercel Chatbot — with radar analysis and Command Center-specific verdicts.
📄️ Architecture Layers
6-layer sovereign stack — full technical reference for each layer including tech choices, local/prod configs, ADLC mapping, and why-not alternatives.
📄️ Hybrid Deployment (Option C)
ECS AI + K3S GitOps hybrid architecture — ADR-005, activation triggers, 2026–2030 enterprise trend coverage, and cost model.
📄️ Delivery Roadmap
5-phase 10-week delivery plan — Foundation, MCP integration, FinOps pipeline, TF Module 3, AWS deploy. Each phase has deliverables, commands, MCP servers, HITL gates, and 4-agent assignments.
📄️ Cross-Validation Framework
4-way cross-validation — 24 signals across Layer 1 (boto3), Layer 2 (MCP), Layer 3 (runbooks PyPI), Layer 4 (Console screenshots). ≤0.5% tolerance, ≥99.5% accuracy target.
📄️ ADLC Governance Framework
ADLC 6-phase lifecycle applied to Command Center — agents, commands, skills, hooks, memory, and MCPs per phase. 9 agents, 62 commands, 20 skills, 12 governance hooks.
📄️ PM Lifecycle
Product Management lifecycle for Command Center — Discover, Specify, Plan, Build, Ceremony, Iterate. Skills used, commands, evidence artifacts, and DORA metrics.
📄️ Enterprise GenAI Integration
6-layer enterprise GenAI architecture applied to Command Center — Customer, Interaction, Generative AI, Backend Apps, Data Sources, Infrastructure. Agent-to-layer mapping.