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Enterprise adoption of large language models is constrained by three problems that are usually treated separately: factual reliability, development throughput, and regulatory conformity. This paper reports a longitudinal design-science case study of a single production artefact — Lumina, a multi-tenant AI assistant platform — across two complete generations built fourteen months apart in capability terms and seven months apart in calendar terms.
Režun, D. T. (2026). Context as Architecture: Full-Corpus Grounding, Orchestrated Agentic Development, and Compliance-by-Design in a Production AI Assistant Platform. talirezun.com. https://talirezun.com/library/context-as-architecture
@misc{context-as-architecture,
author = {Dr. Tali Režun},
title = {Context as Architecture: Full-Corpus Grounding, Orchestrated Agentic Development, and Compliance-by-Design in a Production AI Assistant Platform},
year = {2026},
url = {https://talirezun.com/library/context-as-architecture},
note = {talirezun.com}
}DOI: none yetNO TRACKING COOKIES
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