DSH Visual Acceptance: A Workbench for Acceptance and Revalidation of Local AI-Generated UIs

DSH Visual Acceptance is a local acceptance and re-acceptance workbench plugin developed by PolinniZhong, designed to address the difficulty of reproducing acceptance results for AI-generated web pages. Focused on local environments, it helps users manually verify page states through features such as scope validation, anomaly logging, and conditional re-acceptance. It offers multiple acceptance plans—including Quick, Standard, and others—supports screenshot viewing, and allows users to manually create Issues. The plugin emphasizes a manually closed-loop decision process, does not perform automated visual scoring or file modifications, requires use in a non-empty session, and is currently in Beta.