docs: consolidate repository guides and preserve audit history

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cesnimda
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# AI Prompt Management
# Prompt and output rules
## Purpose
Prompts are assembled by feature services/controllers from the job, career profile, reviewed correspondence, and explicitly selected attachments. Inputs are bounded before leaving the API/sidecar. Structured tasks request typed JSON or constrained sections; callers validate and sanitize the result before storing or rendering it.
Centralise prompts.
Avoid random prompts scattered throughout code.
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# Requirements
Prompts should:
- Be version controlled.
- Be documented.
- Have tests where possible.
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# Prompt Structure
Every prompt should define:
Purpose.
Inputs.
Expected output.
Restrictions.
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# Example
Task:
Improve CV bullet point.
Input:
Existing bullet.
Output:
Improved bullet.
Restrictions:
Do not add unsupported achievements.
Prompts must preserve factual career data, avoid inventing credentials or experience, respect the selected locale, and keep user edits recoverable. Do not add automatic employer-facing sends to an AI feature without a separate review and delivery design.