System Prompt Design and Token Budgeting - Interactive Visualization

System prompts establish the persona, rules, and constraints for a language model session. Effective system prompts are specific (state role, output format, edge cases), concise (under 300 tokens), and tested adversarially. Poor system prompts are either too vague (the model ignores them) or too long (they consume context budget needed for the actual conversation and generation).

• Stacked context window bar showing exactly how each section (system, few-shot, user, generation) consumes tokens
• Adjustable token sliders for system prompt length and user message length with live budget calculation
• Side-by-side gallery of poor system prompts (too vague, too long, contradictory) vs good ones
• Warning indicator when context usage exceeds 85% and generation budget becomes critically small

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.