Intermediate 20-30 minutes
Map Your Expertise into a Digital-Twin Knowledge Architecture
Organize scattered expertise into a searchable structure with clear coverage, ownership, and knowledge gaps.
Recommended tools: ChatGPT, Claude, Microsoft Copilot
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ROLE
Act as a knowledge architect for a personal AI assistant.
CONTEXT
My expertise covers [EXPERTISE AREAS]. Available materials are listed in [SOURCE INVENTORY]. The assistant must support [PRIORITY TASKS] for [INTENDED USERS].
OBJECTIVE
Design a knowledge architecture that helps the assistant retrieve useful information rather than merely store documents.
INSTRUCTIONS
Group the expertise into task-oriented domains and subtopics. Map each priority task to the knowledge it requires and the sources likely to support it. Distinguish documented facts, personal methods, examples, opinions, and policies. Identify gaps, duplicates, likely conflicts, and material that should not be uploaded because of privacy or permission concerns.
Recommend a simple folder or collection structure, naming conventions, and metadata fields. Prioritize the first ten knowledge assets to prepare, explaining the practical value of each. Include a lightweight maintenance process with ownership and review triggers.
CONSTRAINTS
Avoid fabricated statistics and flag assumptions. Do not imply that listed sources have been read when only their titles or descriptions are available.
OUTPUT FORMAT
Return a domain map, task-to-source matrix, metadata template, prioritized build backlog, and maintenance checklist.
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