Prompt Frameworks

Discover structured templates for creating effective AI prompts using proven frameworks

What are Prompt Frameworks?

Prompt frameworks are structured approaches to designing effective prompts that maximize the quality of AI-generated responses. By following these established frameworks, you can elicit more comprehensive, balanced, and useful responses from large language models.

Each framework is designed for specific types of tasks and can be adapted to various domains and use cases. Explore our collection of proven prompt frameworks to enhance your AI interactions.

ACE Framework: A Structured Approach for High-Quality Content, Branding, and Creative AI Workflows

Intermediate

Audience, Context, Execution

A structured approach to AI prompting for creating high-quality content, branding, and storytelling by defining the audience, establishing context, and guiding execution

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AIM Framework: A Structured Approach for Goal-Oriented and Personalized Content

Beginner

Audience, Input, Method

A systematic approach to AI prompting for generating tailored content with clear purpose by defining audiences, providing relevant inputs, and specifying content structure methods

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A.P.E Framework: A Simple Yet Powerful Approach to Effective Prompting

Beginner

Action, Purpose, Expectation

Action, Purpose, Expectation - A powerful methodology for designing effective prompts that maximize AI responses

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CARE Framework: Context-driven Prompting for Actionable Results

Intermediate

Context, Audience, Requirements, Examples

A structured framework for creating detailed, contextual AI prompts that lead to practical, applicable outputs

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CLEAR Framework: Conversational Language with Emphasis on Adaptable Results

Beginner

Context, Language, Examples, Audience, Request

A flexible framework for crafting conversational prompts that adapt to different audiences while maintaining clarity and relevance

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COAST Framework: Context-Optimized Audience-Specific Tailoring

Intermediate

Context, Objective, Audience, Style, Tone

A comprehensive framework for creating highly contextualized, audience-focused prompts that deliver precisely tailored AI outputs

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ERA Framework: Expertise-Driven Prompting with Structured Approach

Intermediate

Execution, Results, Audience

A concise framework focusing on Expertise, Request, and Approach to produce expert-level AI responses with clear methodologies

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FOCUS Framework: A Structured Approach for High-Level Output Control

Beginner

Function, Outcome, Context, Usage, Specifics

A structured approach to AI prompting for creating outputs that align perfectly with use case goals by defining function, outcome, context, usage, and specifics

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4-U Framework: A Structured Approach for Persuasive Copywriting and Marketing

Intermediate

Urgent, Unique, Useful, Ultra-specific

A systematic approach to AI prompting for creating compelling sales copy, marketing emails, landing pages, and ad headlines using urgency, uniqueness, usefulness, and ultra-specific details

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GUIDE Framework: Goal-Oriented User-Intent Driven Execution

Intermediate

Goal, User, Information, Directions, Evaluation

A user-centric framework for creating detailed prompts that maintain focus on end objectives while adapting to user needs

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IDEA Framework: A Structured Approach for Creative Problem-Solving and Innovation

Intermediate

Identify, Define, Explore, Act

A systematic approach to AI prompting for generating creative solutions, product ideas, and innovation by identifying problems, defining context, exploring options, and planning actions

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MARK Framework: A Structured Approach for Strategic Marketing Planning and Campaign Design

Intermediate

Market, Audience, Research, Key Actions

A systematic approach to AI prompting for marketing strategy, go-to-market planning, campaign development, and audience targeting through market analysis, audience definition, research insights, and actionable steps

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PRIME Framework: A Structured Approach for Task Design and Goal-Based Prompts

Intermediate

Purpose, Requirements, Instructional, Metrics, Example

A structured approach to AI prompting for creating clear task designs, goal-based prompts, and structured outputs by defining purpose, requirements, instructions, metrics, and examples

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RACE Framework: Role-Aligned Contextual Expertise

Intermediate

Role, Action, Context, Expectation

A structured approach to AI prompting that leverages specific roles, actions, context, and expectations to produce highly targeted outputs

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RISE Framework: Role-Based Instructional Prompting with Specific Examples

Intermediate

Request, Input, Scenario, Expectation

A comprehensive framework for crafting AI prompts that leverage specific expertise, clear instructions, detailed parameters, and illustrative examples

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R.O.S.E.S Framework: Crafting Prompts for Strategic Decision-Making

Advanced

Role, Objective, Style, Example, Scenario

Use the R.O.S.E.S framework—Role, Objective, Style, Example, Scenario—to develop prompts that generate comprehensive strategic analysis and decision support.

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SCOPE Framework: Systematic Content Organization for Precision and Effectiveness

Intermediate

Situation, Constraints, Objectives, Preferences, Execution

A structured framework for producing well-organized and purpose-driven content through systematic planning and specification

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STEP Framework: A Structured Approach for Strategic Decision-Making and Business Planning

Intermediate

State, Tailor, Evaluate, Plan

A systematic approach to AI prompting for strategic decisions, business insights, and action planning by stating objectives, tailoring context, evaluating options, and planning next steps

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TAG Framework: Task-Aligned Guided Output

Beginner-friendly

Task, Action, Goal

A precise AI prompting framework focusing on Task definition, Audience specification, and Guardrails to ensure quality output

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T.R.A.C.E Framework: A Structured Approach for Technical Problem Solving with AI

Advanced

Task, Requirements, Audience, Context, Evaluation

Learn how to use the T.R.A.C.E framework—Task, Requirements, Audience, Context, Examples—to craft effective prompts for technical problem-solving, debugging, and development tasks.

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Benefits of Using Prompt Frameworks

Structured Thinking

Frameworks help organize your prompts logically, ensuring you cover all important aspects of a query.

Consistent Results

Using established frameworks leads to more predictable and reliable AI responses across different scenarios.

Domain Adaptability

Each framework can be customized for specific industries, tasks, or contexts while maintaining its core structure.

Getting Started with Prompt Frameworks

  1. Browse our collection of prompt frameworks above
  2. Select a framework that fits your use case
  3. Follow the template structure and customize for your specific needs
  4. Experiment with variations to find what works best for your context
  5. Share your results and successful adaptations with the community

Pro Tip:

Start with simpler frameworks if you're new to prompt engineering. As you become more comfortable, you can combine multiple frameworks for more sophisticated prompts.