Prompting the Future: Evolving Human–AI Languages for the Next Generation of Intelligence
DOI:
https://doi.org/10.15680/IJCTECE.2025.0806011Keywords:
prompt engineering, human–AI interaction, prompt pipelines, healthcare AI, finance AI, evaluation metrics, prompt taxonomy, safety, reproducibility, IEEE StandardsAbstract
Prompt engineering has moved from ad-hoc heuristics to an emerging discipline that combines linguistics, software engineering, domain modeling, and evaluation science. This paper defines a unifying framework for complex, effective, result-oriented prompts that are robust across domains and future-ready for evolving AI agents. We present: (1) a taxonomy of prompt constructs and pipelines; (2) domain-grounded strategies and metrics for healthcare and finance; (3) practical prompt templates and an evaluation protocol; and (4) case studies showing measurable improvement in task accuracy, safety checks, and human-in-the-loop productivity. We also discuss governance, reproducibility, and research directions for self-improving prompting systems. Real-world adoption trends and domain evidence motivate our recommendations.
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