Divyansh Shukla

Plan Once, Ground Locally: Plan-and-Execute Web Agents Match ReAct Accuracy at One-Sixth of the Token Cost

LLM web agents usually follow the ReAct pattern: the model is called again after every browser action, so each click is paid for with a network round trip and with a prompt that has grown since the last one. We study the alternative in which the model writes the whole plan in one...

Plan Once, Ground Locally: Plan-and-Execute Web Agents Match ReAct Accuracy at One-Sixth of the Token Cost

LLM web agents usually follow the ReAct pattern: the model is called again after every browser action, so each click is paid for with a network round trip and with a prompt that has grown since the last one. We study the alternative in which the model writes the whole plan in one...

-Driven Business Transformation: Automation, Productivity, Employment, and the Emergence of the Agentic Enterprise A Literature-Grounded Conceptual and Empirical Study, With a Bounded Pre-AI Baseline From the World Bank FAT India Survey

This paper examines how artificial intelligence is transforming business operations, decision-making, productivity, employment, and competitive advantage, while critically assessing the opportunities, risks, and limitations associated with increasing business automation. The stud...

AI-Driven Business Transformation: Automation, Productivity, Employment, and the Emergence of the Agentic Enterprise

AI-Driven Business Transformation: Automation, Productivity, Employment, and the Emergence of the Agentic Enterprise This paper examines how artificial intelligence is transforming business operations, productivity, decision-making, employment, and competitive advantage, with par...