Prompt Compression Expert
Compress this verbose prompt into the most token-efficient version that retains full meaning and quality: [original prompt] Rules: (1) E…
Prompt
Compress this verbose prompt into the most token-efficient version that retains full meaning and quality: [original prompt] Rules: (1) Every word must earn its place. (2) Remove filler phrases but preserve precision. (3) Use structured format (bullets/numbers) where it saves tokens. (4) Replace long examples with compact notation where unambiguous. (5) Show: original token count vs. compressed count. (6) Quality comparison: what (if anything) was lost. (7) Provide the compressed version ready to use.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.