# 智能体工件创作综述：系统、评测、原则与机遇

- 来源：HuggingFace Daily Papers（社区热门论文）
- 发布时间：2026-08-28 08:00
- AIHOT 分数：48
- AIHOT 链接：https://aihot.virxact.com/items/cmtgz8l5g0e8jrochgvazbawi
- 原文链接：https://arxiv.org/abs/2608.28122

## AI 摘要

一项综述研究将智能体工件创作定义为AI系统有状态地构建或修改交付物、并由中间观察结果重定向后续工作的过程，并系统梳理了截至2026年8月20日的259篇文献，涵盖230个系统和29个评测基准。研究比较了六类工件族，提出保持承诺与责任明确、将反馈转化为针对性修复、变更后重新验证受影响状态等原则，并指出工件、创作者意图与构建系统演进中持续可控性的机遇。

## 正文

Generative models can turn natural-language prompts into images, text, code, and other content, lowering the cost of producing drafts and components. Their practical impact increasingly depends on whether those pieces can become complete, dependable deliverables. This survey examines agentic artifact creation, which we define as stateful construction in which an AI system materially constructs or revises a deliverable and intermediate observations redirect later work. Functionally, the process links an operational representation of the artifact, a construction policy, and runtime verification whose feedback can redirect later actions. We reviewed 259 works available through August 20, 2026: 230 systems meeting this definition and 29 benchmarks of agentic artifact construction. We compare six artifact families, then analyze application settings and evaluation practice as separate dimensions. Across families, construction challenges reflect not only modality but also how tightly decisions are coupled and whether failures become visible while they remain repairable. Decomposition can reduce local complexity while increasing coordination and reassembly costs. Learned judges may add little independent evidence when they share the generator's preferences or blind spots. We formulate principles for keeping commitments and responsibility explicit, turning feedback into targeted repair, and revalidating affected state after change. We also identify opportunities for sustaining coherent, accountable control as artifacts, creator intent, and construction systems evolve. A curated paper list is available at https://github.com/GeminiLight/awesome-agentic-artifact-creation.