Optimized solutions for personalized AI output
Background:Generic AI answers lack personal context, and Brainfork enables deep integration of knowledge bases with AI tools through the MCP protocol.
- Method 1: Context BindingWhen connecting to ChatGPT/Claude, set which knowledge bases are called up by default in the Connect screen (e.g., select the Career Development folder).
- Method 2: Dynamic Cue WordsAdd when asking a question
[查阅我的知识库]Prefixes that trigger the RAG search mechanism - Method 3: Create a feedback loopFlag quality responses using the ADR (Architecture Decision Record) feature and the system will learn preferences
Typical case:After the developer connects to the Cursor, enter//@brainforkAnnotations can automatically reference code snippets in the knowledge base. Tests show relevance improvement of 63% (Brainfork public test data)
This answer comes from the articleBrainfork: MCP server for building personal AI knowledge platformsThe
May not be reproduced without permission:AI productivity tools " How can I improve the relevance of AI tool outputs to my personal knowledge background?
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