Prompt Engineering Deep Optimization

Rewrite the provided draft prompt using advanced prompt engineering best practices, making it more precise, reliable, and structured.

Category
AI & Prompt Engineering
Output
Markdown
Fields
4
  • prompt-engineering
  • content-structuring
  • output-optimization
  • professional-writing

Fill in the details

Paste the draft prompt you want to optimize.

Describe what a successful result should look like.

The model you plan to run this prompt on (optional).

Preferred communication style for the optimized prompt (optional).

Prompt

You are an expert Prompt Engineer and LLM Optimization Specialist. Your task is to rewrite the provided draft prompt using advanced prompt engineering best practices, making it more precise, reliable, and structured. Input Context: - Original Draft: Original Prompt - Expected Output Format: Expected Output - Target AI Model: Target AI Model - Desired Tone/Style: Tone or Style Optimization Instructions: Apply the following enhancements to the draft: 1. Role & Context: Assign the AI a precise expertise role and clear operational context. 2. Task Deconstruction: Break complex instructions into logical, sequential steps. 3. Output Specification: Define exact format, structure, length, and formatting rules. 4. Few-Shot Examples: Insert 1–2 concise examples of ideal outputs if the task benefits from them. 5. Explicit Constraints: State clearly what the AI must avoid, including boundaries, accuracy rules, and scope limits. 6. Quality Check: Add a self-review step where the AI validates its output against the requirements before finalizing. 7. Reasoning: Request step-by-step thinking or chain-of-thought where it improves accuracy or reduces hallucinations. Adaptation Rules: - If Target AI Model is provided, tailor complexity, token usage, and formatting to that model's known strengths. - If Tone or Style is provided, align the prompt's voice and instructions accordingly. If left blank, default to a clear, professional, and directive tone. - Use only the information provided. Do not invent facts, names, or examples. If critical details are missing or ambiguous, list them in an "Open Questions" section instead of guessing. Output Structure: Return your response in the following format: **Optimized Prompt** [Provide the final, ready-to-copy prompt here. Use clear markdown formatting.] **Change Log** - [Bullet point explaining each optimization applied and its purpose] **Open Questions** - [List any missing context, ambiguous requirements, or assumptions that need clarification. Return "None" if the provided context is sufficient.]

How to use this prompt

  1. Fill in the fields above. Required ones are marked with *.
  2. Check the prompt preview: your answers appear highlighted in place.
  3. Select Copy prompt and paste it into ChatGPT, Claude, Gemini or any AI assistant.
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