AI "Surgical Editing" .mmap: Bi-directional Sync using Hidden GUIDs in Markdown
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The Problem: AI Updates Usually Break Your MapTraditional exports to AI are "dumb." When you ask an AI to update a map and bring it back, you lose your manual layouts, custom colors, and icons. The AI treats your map like a flat text file.
The Solution: Hidden HTML Meta-infoUsing my mindm-20plus (MCP) tool, I’ve implemented a way to blend MindManager with LLMs without losing data integrity.
How it works:
- Invisible Anchors: When exporting to Markdown, we hide the MindManager GUIDs (Global Unique IDs) inside HTML comments within the .md file.
Example: ## Phase 1 Development - LLM Intelligence: Modern LLMs are smart enough to process the text while respecting the hidden meta-info. They use these IDs as "anchors" but don't display them to the user.
- Surgical Edits: When the AI suggests a change, it doesn't rewrite the file. It sends a precise command back to MindManager: "Update only the branch with ID 5A7B-92C1."
The Result: Zero Layout DamageBecause the AI is performing "surgical" updates based on IDs:
- Your Styles Stay: Colors, shapes, and icons are untouched.
- Your Layout Stays: Manual branch positioning is preserved.
- Live Collaboration: You can brainstorm with the AI in real-time, and it "reaches into" your open map to add ideas or update task progress exactly where they belong.
I’m looking for feedback from the dev community: Is anyone else using hidden HTML metadata to bridge the gap between structured software and LLMs?
I like this idea
shortest summary:
today gemini suggested me that when we export .mmap, we could indeep hide the metainfo esp guid inside HTML in .md;
then, when .md is modified and need to use LLM+mcp/skill to write back into the .mmap;
this will be pin point accurate, save time, less resources.
shortest summary:
today gemini suggested me that when we export .mmap, we could indeep hide the metainfo esp guid inside HTML in .md;
then, when .md is modified and need to use LLM+mcp/skill to write back into the .mmap;
this will be pin point accurate, save time, less resources.
ps: GLM 4.7 make WORKING codes, my usage is claude code (CC)+GLM 4.7 for working backbone, then ask CC+ opus 4.5 to guard the quality. this is most cost effective.
ps: GLM 4.7 make WORKING codes, my usage is claude code (CC)+GLM 4.7 for working backbone, then ask CC+ opus 4.5 to guard the quality. this is most cost effective.
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