MEL – Machine Expression Language
A step-by-step journey to turn your query into a powerful, directive-based LLM prompt
Your human query:
Step 1: Define the Persona
Adjust the expertise and character of the assistant.
Student
Assistant
Collaborator
Expert
Specialist
Mentor
Visionary
Devil's Advocate
Oracle
Simulator
Step 2: Clarify the Intent
Specify the clarity and precision of your core instruction.
Rephrase
Execute
Achieve
Synthesize
High-stakes
Brainstorm
Explain
Critique
Strategize
Deconstruct
Step 3: State the Purpose
Explain the "why" behind your request for a more meaningful outcome.
None
Practical
Educational
Durable
Strategic
Commercial
Impactful
Artistic
Provocative
Transformative
Step 4: Set the Innovation Level
Choose how much creativity and novelty to introduce.
Standard
Improved
Unconventional
Surprising
Analogical
Challenging
First-Principles
Heresy
Paradigm Shift
Exotic
Step 5: Choose the Style
Define the aesthetic and readability of the final output.
Raw
Direct
Formatted
Technical
Narrative
Socratic
Literary
Poetic
Masterpiece
Code-like
Step 6: Shape the Output
Determine the structure and format of the response.
Raw Text
Bullets
Markdown
JSON/XML
Presentation
Diagram
Production Code
Formal Paper
Polished Artifact
Interactive
Step 7: Add a Constraint (Optional)
Apply a specific rule or limitation to the output.
None
Concise
Word Limit
Formal Tone
No Jargon
In-Character
Step-by-Step
Code Only
Data Only
Strict
Generated MEL prompt (auto-updates):
Copy Prompt
Run MEL query using ChatGPT