A Virtual Member of a Community of Practice for the Society of Petroleum Engineers: From Prototype to Deployment
Source
arxiv.org
Author
John Boden, Joshua Eckroth, Dayne Freitag, Skyler Gipson, Johnathan Keefe, Karen Myers, Eric Schoen, Pedro Sequeira, Reid Smith, Michael Wessel
Date
Why it matters
A rare prototype-to-deployment account of a knowledge AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → measured against a strong RAGRetrieval-augmented generation — fetching relevant documents first and pasting them into the model's context so it answers from your data instead of memory.Full definition → baseline with 75 real professionals, including which weaknesses forced rework: multi-document retrieval, answer validation, and targeted proactive dissemination.
Terms in this piece · Glossary
RAG — Retrieval-augmented generation — fetching relevant documents first and pasting them into the model's context so it answers from your data instead of memory.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
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