Structuring AI prompts to produce specific output formats (Lists, Tables, Emails) requires clear, explicit instructions that define the structure, content constraints, and style. Using delimiters and providing examples (few-shot prompting) further improves accuracy.

Here are the key structures and patterns for common output formats:

1. List Output Prompts:- These are used for summarizing, brainstorming, or outlining key points.
   • Core Pattern:[Topic] -> [Task: List/Summarize] -> [Constraint: Number/Type] -> [Format: Bullet/Numbered]
   • Example Prompt: "Summarize the key findings of the attached report into 5 concise, bullet-pointed, actionable items."
   • Structure:
     1. Goal: [Create list]
     2. Format: [Numbered/Bulleted]
     3. Constraints: [Max items/Word count]
2. Table Output Prompts:- Tables are ideal for comparisons, structured data, or summarizing complex information.
   • Core Pattern:[Topic] -> [Task: Compare/Extract] -> [Structure: Define Rows/Columns]
   • Example Prompt: "Compare Smartphone X and Smartphone Y. Present the data in a Markdown table with columns: Feature, Smartphone X, Smartphone Y, Winner."
   • Key Techniques:
     1. Specify columns explicitly.
     2. Ask for a specific format (e.g., CSV, Markdown, LaTeX).
     3. Define the data source (e.g., "based on the text above").
3. Email Output Prompts:- These require tone, audience, and context constraints to be effective.
   • Core Pattern:[Role] -> [Recipient/Context] -> [Purpose] -> [Tone] -> [Length Constraint]
   • Example Prompt: "Draft a follow-up email to a client regarding a delayed project, in a professional but urgent tone. Keep it under 150 words. Focus on next steps and include a CTA for a 15-minute meeting."
   • Structural Elements:
     1. Subject Line: [Direct/Descriptive]
     2. Opening: [Contextual]
     3. Body: [Key Points/Actionable]
     4. Closing: [Call to Action (CTA)]