Agentic Artifact Creation: Systems, Evaluation, Principles, and Opportunities
- 类型:arxiv
- 标识:2608.28122
- 链接:https://arxiv.org/abs/2608.28122
- 主分类:agent
- 形态:survey
- TLDR: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
- 副分类:evaluation
- 待LLM分类:否
- 来源文件:
- /inbox/tom/_candidates/2026-08-31-agent-rag-longcontext-candidates.json