EQ4C Template Guide

We at EQ4C Tools, use a structured and comprehensive XML format to design high-quality prompts that produce consistent and context-aware outputs from ChatGPT.

For easy understanding we have broken the template in and . Following is explanation with example of each tag and if any sub-tags in it.

<System>

Defines the behavior, expertise, and limits of the AI.

  • <Role> – What the AI should act as
  • <Expertise> – Specific domain knowledge
  • <Boundaries> – Limitations, ethical or functional
  • <Mode> – Working style (e.g., Socratic, step-by-step)

✅ Good Example:

<System>
  <Role>You are a financial advisor.</Role>
  <Expertise>Retirement planning and mutual funds.</Expertise>
  <Boundaries>Do not offer stock trading advice or real-time data.</Boundaries>
  <Mode>Answer step-by-step with logic explained clearly.</Mode>
</System>

❌ Bad Example:

<System>You are helpful and smart.</System>

<Context>

Describes the situation, task, or environment in which the AI is operating.

✅ Good Example:

<Context>The user is creating a landing page to promote a new AI productivity tool targeting HR managers in mid-sized companies.</Context>

❌ Bad Example:

<Context>Help with something.</Context>

<Meta>

High-level instructions that shape the tone, target audience, and purpose.

  • <Tone> – Writing voice or emotion
  • <Audience> – Who will read the output
  • <Purpose> – Goal of the response

✅ Good Example:

<Meta>
  <Tone>Professional yet friendly</Tone>
  <Audience>Startup founders</Audience>
  <Purpose>Pitch a new SaaS feature</Purpose>
</Meta>

❌ Bad Example:

<Meta>
  <Tone>Good</Tone>
  <Audience>Everyone</Audience>
  <Purpose>Stuff</Purpose>
</Meta>

<Variables>

Dynamic values that personalize the response.

  • <Industry> – Business domain
  • <Goal> – Objective
  • <Platform> – Output platform or medium

✅ Good Example:

<Variables>
  <Industry>EdTech</Industry>
  <Goal>Increase newsletter signups</Goal>
  <Platform>LinkedIn</Platform>
</Variables>

❌ Bad Example:

<Variables>Education, traffic, LinkedIn</Variables>

<Instructions>

Clear tasks the AI should perform.

✅ Good Example:

<Instructions>Write three benefit-focused bullet points for a landing page. Include a CTA at the end.</Instructions>

❌ Bad Example:

<Instructions>Do your best.</Instructions>

<Constraints>

Defines limits and rules for the response.

✅ Good Example:

<Constraints>Keep bullet points under 12 words. Do not use passive voice.</Constraints>

❌ Bad Example:

<Constraints>Just be good.</Constraints>

<Definitions>

  • <Term> – The word
  • <Meaning> – Its meaning

✅ Good Example:

<Definitions>
  <Term>CTR</Term>
  <Meaning>Click-Through Rate: percentage of people who clicked the link</Meaning>
</Definitions>

❌ Bad Example:

<Definitions>CTR means click</Definitions>

<Examples>

  • <GoodOutput> – Best result example
  • <BadOutput> – Incorrect or weak result

✅ Good Example:

<Examples>
  <GoodOutput>This tool boosts productivity by 40% and saves 10 hours weekly.</GoodOutput>
  <BadOutput>This tool is good and does a lot of stuff.</BadOutput>
</Examples>

<Output Format>

  • <Sections> – Required structure for the response

✅ Good Example:

<Output Format>
  <Sections>Headline, Subheadline, Bullet Points, CTA</Sections>
</Output Format>

❌ Bad Example:

<Output Format>Nice looking output.</Output Format>

<Reasoning>

Instructs the model to explain its logic.

✅ Good Example:

<Reasoning>Explain why each suggestion is suitable for the audience and goal.</Reasoning>

❌ Bad Example:

<Reasoning>Just do it smartly.</Reasoning>

<Memory>

Preserves session context or facts.

✅ Good Example:

<Memory>The user has already published three SEO blogs about AI tools this week.</Memory>

❌ Bad Example:

<Memory>Earlier stuff we did.</Memory>

<User Input>

Dynamic input from the user that modifies the prompt.

✅ Good Example:

<User Input>Target audience: solopreneurs aged 30–45</User Input>

❌ Bad Example:

<User Input>People like me</User Input>

<Evaluation>

  • <Score> – Numeric rating
  • <Reason> – Explanation of rating

✅ Good Example:

<Evaluation>
  <Score>9/10</Score>
  <Reason>Strong value proposition but minor improvements needed in clarity.</Reason>
</Evaluation>

❌ Bad Example:

<Evaluation>Great!</Evaluation>

<Metrics>

  • <TargetReach> – Impressions or visibility goal
  • <EngagementRate> – Clicks, likes, etc.

✅ Good Example:

<Metrics>
  <TargetReach>15,000 impressions in 30 days</TargetReach>
  <EngagementRate>5%</EngagementRate>
</Metrics>

❌ Bad Example:

<Metrics>Lots of people. High response.</Metrics>

<Tools>

External services or platforms to use.

✅ Good Example:

<Tools>Canva, Ahrefs, Buffer</Tools>

❌ Bad Example:

<Tools>Stuff I like</Tools>

📌 Visit tools.eq4c.com for prompt templates, guides, and AI tools.

YML/YAML Version:

This YAML is clean, structured, and great for AI pipelines or editable prompt databases.

Template:

System: ""
Context: ""
Meta:
  Tone: ""
  Audience: ""
  Purpose: ""
Variables:
  Industry: ""
  Goal: ""
  Platform: ""
Instructions: ""
Constraints: ""
Definitions:
  - Term: ""
    Meaning: ""
Examples:
  GoodOutput: ""
  BadOutput: ""
Output_Format:
  Sections: ""
Reasoning: ""
Memory: ""
User_Input: ""
Evaluation:
  Score: ""
  Reason: ""
Metrics:
  TargetReach: ""
  EngagementRate: ""
Tools: ""

Markdown Version

This Markdown is readable, printable, and perfect for publishing inside posts or PDF creation.

Template:

## EQ4C Prompt Template

**System**  
*(Describe the system role or behavior)*  
` `

**Context**  
*(Background information relevant to the task)*  
` `

### Meta
- **Tone**:  
- **Audience**:  
- **Purpose**:  

### Variables
- **Industry**:  
- **Goal**:  
- **Platform**:  

**Instructions**  
` `

**Constraints**  
` `

### Definitions
- **Term**:  
  **Meaning**:  

### Examples
- **Good Output**:  
  ` `
- **Bad Output**:  
  ` `

### Output Format
**Sections**  
` `

**Reasoning**  
` `

**Memory**  
` `

**User Input**  
` `

### Evaluation
- **Score**:  
- **Reason**:  

### Metrics
- **Target Reach**:  
- **Engagement Rate**:  

**Tools**  
` `
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