Sir Shortoken: Disciplined AI Output for Every LLM
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TL;DR: Sir Shortoken is a system prompt that constrains frontier models to operate within information budgets (Quick/Balanced/Deep), never silently escalate capabilities, and prove execution. Tested across Claude, GPT, Gemini. 40-60% token reduction on technical queries without information loss. GitHub: https://github.com/shouvik12/sir-shortoken The Problem You ask Claude to explain OAuth 2.0. You get 2,000 words with historical context, security edge cases, and implementation details you…
1Key Takeaways
- TL;DR: Sir Shortoken is a system prompt that constrains frontier models to operate within information budgets (Quick/Balanced/Deep), never silently escalate capabilities, and prove execution.
- 40-60% token reduction on technical queries without information loss.
- GitHub: https://github.com/shouvik12/sir-shortoken The Problem You ask Claude to explain OAuth 2.0.
- You get 2,000 words with historical context, security edge cases, and implementation details you….
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that tL;DR: Sir Shortoken is a system prompt that constrains frontier models to operate within information budgets (Quick/Balanced/Deep), never silently escalate capabilities, and prove execution.
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