GenAI Prompting Frameworks
Meta-prompts and structural guides to master the art of prompting itself.
Self Correction Logic
Instructs the AI to pause, audit its previous response for errors or hallucinations, and provide a corrected version with a confidence score.
Open prompt →CO-STAR Framework
A comprehensive, multidimensional framework designed to maximize context, relevance, and output precision for complex requests.
Open prompt →APE Alignment Model
Ensures output aligns with user intent by explicitly connecting the Action to its Purpose and the final Expectation.
Open prompt →TAG Protocol
A linear execution protocol focusing on the distinct relationship between the specific Task, the method of Action, and the ultimate Goal.
Open prompt →RTF Persona Strategy
Leverages deep persona adoption to tailor output for specific professional contexts by strictly defining the Role, Task, and Format.
Open prompt →RISEN Workflow
A rigorous framework for structured deliverables that requires constraints (Narrowing) to reduce hallucinations and generic outputs.
Open prompt →AI Logic And Accuracy Auditor
Instructs the AI to self-correct by identifying glitches, false assumptions, or inaccuracies in its previous response.
Open prompt →Universal Expert Persona Solver
Executes any given task by strictly embodying a specific, high-fidelity expert persona to ensure professional depth, correct terminology, and stylistic accuracy.
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