> ## Documentation Index
> Fetch the complete documentation index at: https://docs.americ.io.vn/llms.txt
> Use this file to discover all available pages before exploring further.

# Prompting Framework

> Popular prompting frameworks for various usecases.

### 1. **RTF — Role | Task | Format**

**Purpose**: Direct and structured prompts that clearly define who ChatGPT is, what it must do, and how the output should be structured.

* **Role**: Defines who/what ChatGPT acts as\
  *Example*: “Act as a TED Talk speaker”

* **Task**: What you want ChatGPT to do\
  *Example*: “Explain quantum computing to teenagers”

* **Format**: How you want the output delivered\
  *Example*: “In 5 bullet points with analogies”

✅ **Full Prompt Example**:

> Act as a TED Talk speaker. Explain quantum computing to teenagers in 5 bullet points using fun analogies.

### 2. **RISE — Role | Input | Steps | Expectation**

**Purpose**: Excellent for **step-by-step processes** and guided workflows.

* **Role**: Assign a specific expert identity\
  *Example*: “You are a senior UX researcher.”

* **Input**: Provide data or context\
  *Example*: “Here’s a user feedback file…”

* **Steps**: Ask for a clear breakdown of the process\
  *Example*: “Follow a 4-step process to analyze.”

* **Expectation**: Define what success looks like\
  *Example*: “Summarize key insights and suggest UX improvements.”

✅ **Full Prompt Example**:

> You are a senior UX researcher. Given the user feedback below, follow a 4-step process to analyze user sentiment and suggest two UX improvements.

### 3. **APE — Action | Purpose | Expectation**

**Purpose**: Action-focused prompts with clarity on intention and desired outcome.

* **Action**: What you want ChatGPT to do\
  *Example*: “Create a content calendar.”

* **Purpose**: Why you want this done\
  *Example*: “To increase engagement for a fitness brand.”

* **Expectation**: Final format or goal\
  *Example*: “Include daily post ideas with themes and hashtags.”

✅ **Full Prompt Example**:

> Create a content calendar to increase engagement for a fitness brand. Include daily post ideas with themes and relevant hashtags.

### 4. **TAG — Task | Action | Goal**

**Purpose**: Useful for productivity and instructional requests.

* **Task**: The overall job\
  *Example*: “Write a product description.”

* **Action**: Specifics of how to do it\
  *Example*: “Use persuasive tone and highlight 3 key benefits.”

* **Goal**: What outcome you're aiming for\
  *Example*: “To boost conversions on the product page.”

✅ **Full Prompt Example**:

> Write a product description using a persuasive tone and highlight 3 key benefits. The goal is to boost conversions on the product page.

### 5. **BAB — Before | After | Bridge**

**Purpose**: Great for **storytelling**, transformation marketing, and content hooks.

* **Before**: Describe the problem or old situation\
  *Example*: “Marketers wasted hours creating reports.”

* **After**: Describe the solution or new situation\
  *Example*: “Now it takes 5 minutes with automation.”

* **Bridge**: Ask for how we get there\
  *Example*: “Write a landing page explaining this transformation.”

✅ **Full Prompt Example**:

> Before: Marketers wasted hours creating reports. After: Now it takes 5 minutes with automation. Write a landing page explaining this transformation.

### 6. **TRACE — Task | Request | Action | Context | Example**

**Purpose**: Highly descriptive prompts for nuanced outputs.

* **Task**: What needs to be done\
  *Example*: “Create a marketing email.”

* **Request**: Special request or format\
  *Example*: “Use a catchy subject line and one CTA.”

* **Action**: What action GPT should take\
  *Example*: “Write in a friendly tone.”

* **Context**: Explain the setting\
  *Example*: “This is for a new pet grooming app.”

* **Example**: Give a sample if needed\
  *Example*: “Similar to this: ‘Tame the Tangles!’”

✅ **Full Prompt Example**:

> Create a marketing email. Use a catchy subject line and one CTA. Write in a friendly tone. This is for a new pet grooming app. Example: ‘Tame the Tangles!’

### 7. **RACE — Role | Action | Context | Expectation**

**Purpose**: Instructional format great for decision-making or creative problem-solving.

* **Role**: Define GPT’s persona\
  *Example*: “You are a financial analyst.”

* **Action**: The core action\
  *Example*: “Review this investment plan.”

* **Context**: What’s the situation?\
  *Example*: “Startup looking for angel funding.”

* **Expectation**: What should be delivered?\
  *Example*: “Identify red flags and summarize viability.”

✅ **Full Prompt Example**:

> You are a financial analyst. Review this investment plan. The startup is seeking angel funding. Identify red flags and summarize its viability.

### 8. **COAST — Context | Objective | Actions | Scenario | Task**

**Purpose**: Best used for simulations, training, or complex guidance.

* **Context**: Background\
  *Example*: “A software company launching new AI tool.”

* **Objective**: The goal\
  *Example*: “Generate interest through email outreach.”

* **Actions**: Required activities\
  *Example*: “Write 3 cold email variations.”

* **Scenario**: Situation to consider\
  *Example*: “Recipients are CTOs unfamiliar with AI.”

* **Task**: Final deliverable\
  *Example*: “Each email must have a unique value proposition.”

✅ **Full Prompt Example**:

> A software company is launching a new AI tool. The goal is to generate interest through email outreach. Write 3 cold email variations. The recipients are CTOs unfamiliar with AI. Each email must have a unique value proposition.

### 9. **ERA — Expectation | Role | Action**

**Purpose**: Fast and effective when you need quick clarity with minimal fluff.

* **Expectation**: What’s the output\
  *Example*: “Create a concise 3-line summary.”

* **Role**: Who GPT should act as\
  *Example*: “As a political analyst.”

* **Action**: What’s the task\
  *Example*: “Summarize this debate transcript.”

✅ **Full Prompt Example**:

> Create a concise 3-line summary as a political analyst after reviewing this debate transcript.

### 10. **ROSES — Role | Objective | Scenario | Expected Solution | Steps**

**Purpose**: Perfect for complex problem solving or strategic recommendations.

* **Role**: Who GPT is\
  *Example*: “You are a DevOps consultant.”

* **Objective**: What you're trying to achieve\
  *Example*: “Reduce server downtime by 40%.”

* **Scenario**: What's happening\
  *Example*: “Client has legacy infrastructure.”

* **Expected Solution**: Define the outcome\
  *Example*: “Recommend a hybrid migration approach.”

* **Steps**: Request step-by-step action\
  *Example*: “Break down migration in 5 actionable phases.”

✅ **Full Prompt Example**:

> You are a DevOps consultant. The objective is to reduce server downtime by 40%. The client has legacy infrastructure. Recommend a hybrid migration approach. Break down the migration in 5 actionable phases.

### 11. **CARE — Context | Action | Result | Example**

**Purpose**: Clarity and realism with built-in demonstration

* **Context**: The situation\
  *Example*: “Remote team needs better communication.”

* **Action**: What to do\
  *Example*: “Write Slack guidelines.”

* **Result**: Desired outcome\
  *Example*: “Ensure consistent and polite interactions.”

* **Example**: Include model response\
  *Example*: “E.g., ‘Use threads for topic-specific replies.’”

✅ **Full Prompt Example**:

> Remote team needs better communication. Write Slack guidelines to ensure consistent and polite interactions. Example: “Use threads for topic-specific replies.”

***

## ✅ Summary Table

| Framework | Best For                            |
| --------- | ----------------------------------- |
| **RTF**   | Simple, instructional tasks         |
| **RISE**  | Step-by-step workflows              |
| **APE**   | Purpose-driven content              |
| **TAG**   | Conversion-focused writing          |
| **BAB**   | Storytelling & persuasion           |
| **TRACE** | Detailed creative instructions      |
| **RACE**  | Professional advice/decision making |
| **COAST** | Simulations & complex planning      |
| **ERA**   | Quick summaries                     |
| **ROSES** | Strategic problem-solving           |
| **CARE**  | Instruction + modeled example       |