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Update docs/HVE/README.md
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> ⚠️ **Note**: The use of AI agents does **not eliminate the need for human review**. Human oversight remains essential
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> to ensure correctness, context awareness, ethical compliance, and alignment with business goals.
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## 📊 Measurable Impact from Real-World Pilots
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HVE pilots have demonstrated:
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These results reflect the power of combining AI tooling, engineering fundamentals, and structured planning.
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## 🧪 Testing Framework for HVE
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A proposed testing framework for HVE includes:
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This ensures HVE-generated content meets enterprise standards without manual bottlenecks.
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## 🔐 Security in HVE Workflows
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Security guidance for HVE includes:
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- Preferring secure infrastructure and prompt engineering best practices
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- Aligning with policy-as-code and secure defaults from day one
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## 📈 HVE in Data Science
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HVE principles are being applied to machine learning workflows, enabling:
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- Integration of CRISP-DM and hypothesis-driven development
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- Use of LLMs as coding agents for iterative feedback and rapid prototyping
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## 🧰 Implementation Checklist
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| Practice | Description |

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