Transduction is All You Need for Structured Data Workflows

• URL: http://arxiv.org/abs/2508.15610v2
• Date: Mon, 29 Sep 2025 13:42:12 GMT
• Title: Transduction is All You Need for Structured Data Workflows
• Authors: Alfio Gliozzo, Naweed Khan, Christodoulos Constantinides, Nandana Mihindukulasooriya, Nahuel Defosse, Gaetano Rossiello, Junkyu Lee,
• Abstract summary: This paper introduces Agentics, a functional agentic AI framework for building structured data workflow pipelines.<n>Designed for both research and practical applications, Agentics offers a new data-centric paradigm in which agents are embedded within data types.<n>We present a range of structured data workflow tasks and empirical evidence demonstrating the effectiveness of this approach.
• Score: 8.178153196011028
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This paper introduces Agentics, a functional agentic AI framework for building LLM-based structured data workflow pipelines. Designed for both research and practical applications, Agentics offers a new data-centric paradigm in which agents are embedded within data types, enabling logical transduction between structured states. This design shifts the focus toward principled data modeling, providing a declarative language where data types are directly exposed to large language models and composed through transductions triggered by type connections. We present a range of structured data workflow tasks and empirical evidence demonstrating the effectiveness of this approach, including data wrangling, text-to-SQL semantic parsing, and domain-specific multiple-choice question answering. The open source Agentics is available at https://github.com/IBM/Agentics.

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