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| Main Author: | |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.15044 |
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| _version_ | 1866918390498590720 |
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| author | Guinard, Sebastien |
| author_facet | Guinard, Sebastien |
| contents | Prompt engineering has become a production critical component of generative AI systems. However, organizations still lack a shared, auditable method to qualify prompt assets against operational objectives, safety constraints, and compliance requirements. This paper introduces Prompt Readiness Levels (PRL), a nine level maturity scale inspired by TRL, and the Prompt Readiness Score (PRS), a multidimensional scoring method with gating thresholds designed to prevent weak link failure modes. PRL/PRS provide an original, structured and methodological framework for governing prompt assets specification, testing, traceability, security evaluation, and deployment readiness enabling valuation of prompt engineering through reproducible qualification decisions across teams and industries. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_15044 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Prompt Readiness Levels (PRL): a maturity scale and scoring framework for production grade prompt assets Guinard, Sebastien Artificial Intelligence Computers and Society Machine Learning I.2.0; I.2.6; I.2.7; I.2.11 Prompt engineering has become a production critical component of generative AI systems. However, organizations still lack a shared, auditable method to qualify prompt assets against operational objectives, safety constraints, and compliance requirements. This paper introduces Prompt Readiness Levels (PRL), a nine level maturity scale inspired by TRL, and the Prompt Readiness Score (PRS), a multidimensional scoring method with gating thresholds designed to prevent weak link failure modes. PRL/PRS provide an original, structured and methodological framework for governing prompt assets specification, testing, traceability, security evaluation, and deployment readiness enabling valuation of prompt engineering through reproducible qualification decisions across teams and industries. |
| title | Prompt Readiness Levels (PRL): a maturity scale and scoring framework for production grade prompt assets |
| topic | Artificial Intelligence Computers and Society Machine Learning I.2.0; I.2.6; I.2.7; I.2.11 |
| url | https://arxiv.org/abs/2603.15044 |