TaewoooPark

TaewoooPark / NODEPROMPT

Public

Spatial prompt engineering through interactive 3D concept graphs

3d-visualization anthropic claude-api cognitive-science concept-graph
26
2
100% credibility
Found Apr 13, 2026 at 26 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

NodePrompt turns natural language prompts into interactive 3D concept graphs on a sphere for spatial editing and improved AI responses.

How It Works

1
🖥️ Open the 3D idea explorer

You launch the app and see a clean white canvas with a glowing sphere ready for your thoughts.

2
🔑 Connect the AI helper

Paste a private code once so the AI can understand and build ideas from your words.

3
💭 Type your big idea

Enter a question or topic in the box at the bottom, like 'How will AI change jobs?' and pick how many ideas to explore.

4
✨ Watch the sphere come alive

Hit extract and see the AI scatter colorful idea bubbles across the 3D sphere, connected by curving lines like a mind map in space.

5
🖱️ Spin, zoom, and reshape

Orbit the sphere with your mouse, dive inside for a fisheye view, drag bubbles to new spots, tweak sizes for importance, or wave your hand to control it hands-free.

6
Link ideas or refine
✅
Ready to ask

Your idea map feels perfect and balanced.

🔄
Keep tweaking

Go back to explore more or adjust further.

7
⚡ Synthesize and generate

Click synthesize to weave your spatial map into a super-smart prompt, then generate for a thoughtful AI response.

🎉 Unlock deeper insights

Enjoy clearer, more nuanced answers that match your reshaped thinking, ready to copy or explore further.

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Star Growth

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AI-Generated Review

What is NODEPROMPT?

NODEPROMPT turns linear text prompts into interactive 3D concept graphs for spatial prompt engineering. Type a natural language prompt, and it uses Claude API to decompose it across six dimensions like concepts, nuances, and moods, rendering nodes on a Fibonacci-distributed sphere in TypeScript with React Three Fiber and Three.js. Edit spatially—drag nodes, tweak weights, add edges—then resynthesize into structured prompts for sharper AI outputs, bridging non-linear thinking and linear language.

Why is it gaining traction?

Unlike flat mind maps or opaque chat interfaces, it offers three modes: orbital sphere overview, draggable radial editing, and immersive interior fisheye, plus webcam hand gestures for hands-free navigation. Grounded in cognitive research like Rosch's categorization and Novak's concept mapping, it enforces limits like Miller's 7±2 for usable graphs. Developers dig the cyclic human-AI loop for spatial prompting and spatial understanding prompts, elevating basic RAG into spatial RAG github workflows.

Who should use this?

Prompt engineers refining complex queries for LLMs, AI researchers exploring spatial intelligence github tools, or devs in spatial analysis like github spatial data viz or scgpt spatial github proteomics. Ideal for anyone battling vague AI responses on topics needing multi-faceted structure, from veo 3 spatial prompting to spatial media concepts.

Verdict

Try it for spatial prompt experiments—demo loads instantly, docs are thorough despite 26 stars and 1.0% credibility signaling early maturity. Polish gesture tracking and add tests before production; it's a fresh take on interactive graphs worth forking.

(198 words)

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