Stop guessing. See exactly how an expert AI rewrites your request. Analyze the "diff" to learn the patterns of effective prompt engineering.
Enter your draft on the left. We'll show you the "Diff" between your version and a professional version.
We don't just fix your prompt; we show you the diff. Seeing what was added (context, persona, constraints) helps you internalize the patterns of high-performance LLM interactions.
Leveraging state-of-the-art large language models, this tool understands complex reasoning chains and can inject "Chain of Thought" logic into your simple requests automatically.
The difference between a generic output and a production-ready result often lies in specific constraints and persona definitions. This tool acts as your personal prompt tutor.
Dive deeper into the techniques that separate amateur prompts from production-grade instructions.
6 Patterns That Actually Matter
After 1000+ hours of prompt engineering, a tech lead discovered 6 consistent patterns that make prompts work. The KERNEL framework delivers a 340% increase in accuracy with simple, verifiable, and reproducible prompts.
Let AI Show Its Work
Chain of Thought (CoT) prompting encourages LLMs to break down complex problems into intermediate steps, dramatically improving accuracy on reasoning tasks.
Get Exactly What You Need
Defining explicit output formats transforms vague AI responses into production-ready content. JSON schemas, markdown templates, and format specifications are your secret weapons.