AI RESEARCH
Compiled AI: Deterministic Code Generation for LLM-Based Workflow Automation
arXiv CS.AI
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ArXi:2604.05150v1 Announce Type: cross We study compiled AI, a paradigm in which large language models generate executable code artifacts during a compilation phase, after which workflows execute deterministically without further model invocation. This paradigm has antecedents in prior work on declarative pipeline optimization (DSPy) and hybrid neural-symbolic planning (LLM+P); our contribution is a systems-oriented study of its application to high-stakes enterprise workflows, with particular emphasis on healthcare settings where reliability and auditability are critical. By cons.