Beyond Prompt-to-App: Accountable Translation in Teacher-Facing Agentic Authoring

Nizam Kadir; Wei Ting Liow; Sumbul Khan; Lay Kee Ang

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arXiv · 2609.04679

Beyond Prompt-to-App: Accountable Translation in Teacher-Facing Agentic Authoring

Nizam Kadir·Wei Ting Liow·Sumbul Khan·Lay Kee Ang

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Abstract

Natural-language app builders let domain experts create software, but their pipelines transform professional intent across compilation, generation, checking, and approval. We report a bounded trace study of a teacher-facing agentic authoring system. Evidence comprises six eligible build attempts across three accounts; a separate corpus of 37 workshop units from 23 display names contextualizes commitments without person-level linkage. Compiled specifications added governance requirements, while downstream representations sometimes normalized case-specific learning relations. Two drafts met a stored package/security threshold despite analyzer reservations and unresolved correspondence to their briefs; four attempts in one account produced no usable payload, and repair messages did not translate internal terms into domain-legible revisions. We develop accountable translation as an analytic framework for making consequential changes attributable, inspectable, scoped in validation, and contestable. It extends HCI accounts of traceability and end-user debugging by locating professional authority and repair rights across heterogeneous technical and organizational handoffs.

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Nizam Kadir, Wei Ting Liow, Sumbul Khan, Lay Kee Ang. 2026-09-04. Beyond Prompt-to-App: Accountable Translation in Teacher-Facing Agentic Authoring. https://arxiv.org/abs/2609.04679

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