AI Prompt Frameworks
A prompt framework is a structured template that organizes the components of an AI prompt. Frameworks help ensure prompts include the right level of context, role definition, constraints, and output expectations. PromptVibe supports six frameworks plus a general-purpose Standard option.
The Six Frameworks
ROLE — Role, Objective, Limitations, Expectations
Structures prompts around an expert persona with defined constraints and output expectations.
When to use: Complex tasks needing a clear persona — professional writing, expert analysis, coaching scenarios.
Learn the ROLE framework →TAG — Task, Action, Goal
A three-part structure for direct, unambiguous requests.
When to use: Simple, direct tasks — quick rewrites, code snippets, short-form content.
Learn the TAG framework →COAST — Context, Objective, Actions, Scenario, Task
A five-part framework that supplies full background before stating the task.
When to use: Complex scenarios needing full background — strategy documents, marketing plans, research tasks.
Learn the COAST framework →RISE — Role, Input, Steps, Execution
Defines the AI persona, input material, step sequence, and output format for workflow tasks.
When to use: Workflows needing step-by-step structure — tutorials, project plans, process documentation.
Learn the RISE framework →APE — Action, Purpose, Execution
Leads with the action, explains the purpose, and specifies output delivery.
When to use: Action-oriented tasks — data analysis, code generation, process automation.
Learn the APE framework →RACE — Role, Action, Context, Explanation
Assigns a teaching role, specifies the topic, defines the audience, and structures the explanation.
When to use: Educational or explanatory content — teaching, academic writing, learning material.
Learn the RACE framework →Standard — General purpose, no specific structure
A flexible, unstructured option that generates a clear, complete prompt without applying a named framework.
When to use: Quick queries, general use, exploratory tasks where rigid structure is not needed.
How to Choose a Framework
| Framework | Best for | Complexity |
|---|---|---|
| ROLE | Expert personas, professional tasks | Medium–High |
| TAG | Quick requests, direct tasks | Low |
| COAST | Full context scenarios, strategy | High |
| RISE | Step-by-step workflows, tutorials | Medium–High |
| APE | Data tasks, process automation | Medium |
| RACE | Teaching, explanations | Medium |
| Standard | Quick queries, general use | Low |
Frequently Asked Questions
What is a prompt framework?
A prompt framework is a structured template for organizing the components of an AI prompt. Frameworks define what information to include — such as role, objective, context, and output expectations — so the AI has everything it needs to produce a useful response.
Which framework should I use for ChatGPT?
It depends on task complexity. Use TAG for simple, direct requests. Use ROLE for expert persona tasks with specific constraints. Use COAST for complex scenarios needing full background context. PromptVibe's prompt generator lets you select any framework and previews the structure before generating.
Are these frameworks specific to PromptVibe?
These are established prompt engineering patterns used across the AI community. PromptVibe implements them as structured templates inside the prompt generator to make them easy to apply without prompt engineering expertise.
Try the Prompt Generator →Also see: AI Prompt Optimizer