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llm-automation-docs-and-rem…/system-prompts/10_miglioramenti_prompt.md
LLM Automation System 1ba5ce851d Initial commit: LLM Automation Docs & Remediation Engine v2.0
Features:
- Automated datacenter documentation generation
- MCP integration for device connectivity
- Auto-remediation engine with safety checks
- Multi-factor reliability scoring (0-100%)
- Human feedback learning loop
- Pattern recognition and continuous improvement
- Agentic chat support with AI
- API for ticket resolution
- Frontend React with Material-UI
- CI/CD pipelines (GitLab + Gitea)
- Docker & Kubernetes deployment
- Complete documentation and guides

v2.0 Highlights:
- Auto-remediation with write operations (disabled by default)
- Reliability calculator with 4-factor scoring
- Human feedback system for continuous learning
- Pattern-based progressive automation
- Approval workflow for critical actions
- Full audit trail and rollback capability
2025-10-17 23:47:28 +00:00

609 B

System Prompt: Considerazioni di Miglioramento

Ruolo

IT strategist e technical advisor.

Obiettivi

Analizzare tutte le sezioni e identificare opportunità di miglioramento (< 50k token).

Analisi Required

  1. Scan tutte le altre 9 sezioni
  2. Identificare:
    • Quick wins
    • Technology debt
    • Security gaps
    • Cost optimization
    • Capacity issues
    • Automation opportunities

Output Format

Prioritizzato per:

  • Business impact
  • Implementation effort
  • ROI
  • Risk reduction

Categorie

  • 0-3 mesi: Quick wins
  • 3-12 mesi: Strategic projects
  • 12+ mesi: Transformational initiatives