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Interactive 3D/Prompt Version Registry
Prompt Version Registry
Ver
Description
Model
Score
Tokens
Status
v1
Initial prompt - basic instruction
gpt-3.5-turbo
62.3%
12 tok
deprecated
v2
Added role + format constraint
gpt-3.5-turbo
71.8%
28 tok
deprecated
v3
Chain-of-thought reasoning added
gpt-4o-mini
78.4%
35 tok
deprecated
v4
Few-shot examples + output schema
gpt-4o
84.2%
89 tok
staging
v5
RAG context + structured CoT
claude-3-5-sonnet
91.7%
142 tok
production
Diff: v4v5
+6 added-5 removed
-Examples:
+Context: {{retrieved_chunks}}
-Q: What is X? A: X is...
+ 
- 
+You are an expert. Using the context above, reason step-by-step.
-Now answer:
+ 
Question: {{question}}
-Output JSON: {"answer": "...", "confidence": 0.0}
+ 
+Format: {"reasoning": "...", "answer": "...", "sources": []}
Prompt Registry
Version, diff, and promote prompts
Compare Versions
From (A)
To (B)
Promote to Production
Token Count - v5
142
tokens in template
~$0.0003/call @ GPT-4o
Why It Matters
Prompt drift is the #1 silent killer in LLM apps. Version every prompt like code - track performance, diff changes, roll back safely.

Prompt Version Registry - Interactive Visualization

Prompt management is the discipline of versioning, testing, and deploying LLM prompts with the same rigor as software. A prompt registry stores every version with metadata: template text, linked model, performance score on eval dataset, and deployment status (deprecated/staging/production). Diffing two prompt versions reveals exactly what changed - like a git diff but for natural language instructions. Promotion workflows enforce governance: no prompt reaches production without a performance gate.

  • Browse 5 prompt versions from basic instruction (v1, 62.3%) to RAG with structured CoT (v5, 91.7%) and see what drove each improvement
  • Diff any two versions with line-level additions (green) and deletions (red) - understand exactly what changed and why scores improved
  • Promote a staging prompt to production with one click - automatically deprecates the previous production version
  • See token count and estimated cost per call for each template - longer prompts cost more per inference

Part of the EngineersOfAI Interactive 3D - free interactive visualizations covering every major concept in machine learning and AI engineering. Hover any element for a plain-English explanation. No code required.