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Ismail Haddou
Ismail Haddou

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Prompt Science: Bridging the Human-AI Communication Gap

Executive Summary

As Large Language Models (LLMs) become ubiquitous tools across industries, a critical gap has emerged between the potential of these systems and the ability of humans to leverage them effectively. Current approaches to "prompt engineering" focus on model-specific tactics that decay rapidly with each new model release.

This paper introduces Prompt Science, the systematic, model-agnostic study of the principles governing effective human-AI communication. Grounded in systems thinking, critical thinking, and the scientific method, Prompt Science provides a durable cognitive framework for achieving intent clarity.


The Core Framework: Intent Clarity

Prompt Science defines intent clarity as the precise articulation of user needs across four critical dimensions:

  • Strategic Intent: The high-level objective and ultimate goal.
  • Tactical Intent: The specific steps, format, and execution constraints.
  • Contextual Intent: The situational background and relevant nuances.
  • Evaluative Intent: The criteria by which the success of the output is measured.

Checkout my paper at

GitHub logo TrustFRAME-org / Prompt-Science

Prompt Science, the systematic study of these fundamental principles through the lenses of systems thinking and critical thinking. Prompt Science is not a collection of prompts. It provides the mental models and thought processes necessary to effectively communicate with any complex, non-deterministic system.

Prompt Science: Bridging the Human-AI Communication Gap

Executive Summary

As Large Language Models (LLMs) become ubiquitous tools across industries, a critical gap has emerged between the potential of these systems and the ability of humans to leverage them effectively. Current approaches to "prompt engineering" focus on model-specific tactics that decay rapidly with each new model release.

This paper introduces Prompt Science, the systematic, model-agnostic study of the principles governing effective human-AI communication. Grounded in systems thinking, critical thinking, and the scientific method, Prompt Science provides a durable cognitive framework for achieving intent clarity.


The Core Framework: Intent Clarity

Prompt Science defines intent clarity as the precise articulation of user needs across four critical dimensions:

  • Strategic Intent: The high-level objective and ultimate goal.
  • Tactical Intent: The specific steps, format, and execution constraints.
  • Contextual Intent: The situational background and relevant nuances.
  • Evaluative Intent: The criteria by which the success ofโ€ฆ

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