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Prompt Coding: A New Logic System for AI-Driven Language Design
- The article introduces the Prompt Header Recall System (PHRS) as a method for improving precision in interacting with AI through language models.
- PHRS is inspired by software logic, aiming to streamline prompt design by treating them as modular linguistic commands.
- It advocates for structured, reusable, and readable prompt design to enhance cognitive clarity and efficiency.
- The system allows for the creation of prompt libraries that can be audited, scaled, and reused across time and team.
- It emphasizes the importance of pattern, boundary, instruction, and clean recall in prompt design.
- The article articulates the difference between simple and complex prompts, highlighting the advantages and disadvantages of each.
- It illustrates examples of complex prompts and introduces the concept of a 'super prompt' for detailed and advanced instructions.
- The article discusses the use of logic controllers such as AND, OR, NOT, XOR, IF/ELSE, and SWITCH/CASE to structure prompts effectively.
- It emphasizes the significance of sandbox testing to ensure the integrity and stability of complex prompts before integration.
- The article presents a strategic approach to prompt design, likening it to logic systems and pseudo-coding for effective communication with AI.
- It concludes by positioning 'Prompt Coding' as a transformative framework that elevates prompt design into a structured discipline akin to software development.
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