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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

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Markdown

# 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