caveman

To reduce token usage without losing accuracy, compress conversational verbosity by dropping pleasantries and filler. This preserves exact technical terms and code blocks, ensuring troubleshooting and implementation clarity while consuming fewer tokens.

Caveman mode is a prompt optimization technique that compresses conversational verbosity into ultra-brief responses. It drops articles, hedging, and filler while preserving technical meaning, using compact phrasing patterns for troubleshooting and debugging.

Ultra-brief prompting applies to multi-turn technical discussions, but includes an auto-clarity exception. It temporarily relaxes compression for safety-critical warnings, irreversible confirmations, and multi-step sequences where order could be misread.

Compressing AI responses does not affect technical implementation guidance because the compression omits only filler and pleasantries. It preserves exact technical terms, deterministic phrasing, and code blocks needed for accurate debugging and implementation.

Avoid brevity prompting for technical writing involving security warnings, irreversible confirmations, or multi-step sequences where order could be misread. The auto-clarity exception temporarily relaxes compression to ensure safety and clarity in these scenarios.

The best way to get low-token technical explanations is to apply explicit omission rules that drop filler and hedging. This provides short-form technical guidance while maintaining deterministic, instruction-friendly phrasing for implementation requests.