A Salsa Digital blog post by Kristen Pol treats context debt as a governance problem for public-sector AI, not just a technical limitation. The post argues that outdated prompts, scattered retrieval rules, inconsistent scoping, and unmanaged operational guidance can distort answers even when source content remains accurate, and connects the issue to Drupal-based context management through Context Control Center. For agencies testing chatbots and agents, the central warning is that scaling AI without managed context can weaken trust, compliance, accessibility, and service quality before failures are visible.
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