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Coles AI for Librarians: Create research guides, summaries, and patron-ready answers at Bayshore Shopping Centre in Ottawa, ON
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Reference work is demanding: patrons need clear, trustworthy answers, while librarians must manage limited time, complex questions, and ever-growing information. AI for Librarians: Faster Reference Services shows you how to use AI tools such as ChatGPT thoughtfully to speed up research support without sacrificing accuracy, judgment, or professional standards.This practical guide begins with a safe, responsible AI reference workflow, including ways to protect privacy, verify information, and maintain librarian oversight. You'll learn how to write effective prompts, create research guides more efficiently, turn dense material into accessible summaries, and develop patron-ready answers that are clear, useful, and appropriately qualified.The focused chapters offer repeatable methods for everyday reference services, from preparing source-based responses to building systems that save time across recurring tasks. Along the way, you'll find guidance for refining AI output, checking sources, adapting language for different audiences, and improving service quality.The book concludes by helping you integrate these techniques into sustainable library workflows. Whether you are exploring generative AI for the first time or looking for a more consistent approach, this guide provides a practical foundation for faster, safer, and more effective reference support.
Reference work is demanding: patrons need clear, trustworthy answers, while librarians must manage limited time, complex questions, and ever-growing information. AI for Librarians: Faster Reference Services shows you how to use AI tools such as ChatGPT thoughtfully to speed up research support without sacrificing accuracy, judgment, or professional standards.This practical guide begins with a safe, responsible AI reference workflow, including ways to protect privacy, verify information, and maintain librarian oversight. You'll learn how to write effective prompts, create research guides more efficiently, turn dense material into accessible summaries, and develop patron-ready answers that are clear, useful, and appropriately qualified.The focused chapters offer repeatable methods for everyday reference services, from preparing source-based responses to building systems that save time across recurring tasks. Along the way, you'll find guidance for refining AI output, checking sources, adapting language for different audiences, and improving service quality.The book concludes by helping you integrate these techniques into sustainable library workflows. Whether you are exploring generative AI for the first time or looking for a more consistent approach, this guide provides a practical foundation for faster, safer, and more effective reference support.
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