Constraint-Driven Context Engineering: Designing Domain Interfaces for AI Systems
Generative AI systems are increasingly deployed to address domain problems. These systems operate under technical, regulatory, institutional, and normative constraints that define acceptable AI behaviour and outcomes within their domains. We observe a recurring pattern in our industry engagement: partners often arrive with a functioning but relatively generic AI solution. The challenge is no longer to build an AI system from scratch, but to improve the quality and domain appropriateness of an AI-generated solution. In these settings, the limiting factor is often the quality, scope, and structure of the context available to the system. Yet, existing context engineering approaches primarily...
| Authors | Xiwei Xu, Chen Wang, Mengmeng Yang et al. |
|---|---|
| Primary category | cs.SE |
| Published | 23 September 2026 |
| Last updated at source | 23 September 2026 |
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