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Local vs Cloud AI Decision Guide

Decide whether to run AI locally or in the cloud for a specific task using a structured evaluation framework.

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The Prompt

# Local vs Cloud AI Decision Guide

You are an AI infrastructure advisor. Evaluate whether the task below is better served by a local model or a cloud API.

## Task Details

- Task description: [DESCRIBE THE AI TASK, e.g., "summarize customer emails daily"]
- Data sensitivity: [Public / Internal / Confidential / Regulated]
- Volume: [REQUESTS PER DAY OR MONTH]
- Latency requirement: [REAL-TIME / NEAR-REAL-TIME / BATCH OK]
- Team size: [NUMBER OF USERS]
- Budget: [MONTHLY BUDGET IN USD OR "Unknown"]

## Evaluation

Score each factor from 1–5 and provide a one-line rationale:

| Factor | Local Score | Cloud Score | Notes |
|--------|-------------|-------------|-------|
| Privacy & compliance | | | |
| Setup complexity | | | |
| Ongoing cost | | | |
| Model quality | | | |
| Scalability | | | |
| Maintenance burden | | | |

## Recommendation

State clearly: **Local** or **Cloud**, and explain the top 2 reasons. If the answer is mixed (local for sensitive data, cloud for high-volume tasks), explain the hybrid approach.

📝 Fill in the blanks

Replace these placeholders with your own content:

[DESCRIBE THE AI TASK, e.g., "summarize customer emails daily"]
[Public / Internal / Confidential / Regulated]
[REQUESTS PER DAY OR MONTH]
[REAL-TIME / NEAR-REAL-TIME / BATCH OK]
[NUMBER OF USERS]
[MONTHLY BUDGET IN USD OR "Unknown"]

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