AI for Everyday Automation - 7 AI workflows to save hours at work every week

Aug 7, 2026

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AI for Everyday Automation delivers practical, job-ready AI workflows designed to reclaim weekly work hours. The book starts with a time-mapping approach to understand where effort goes, then guides readers in building an “AI workbench” with clear decisions on free versus paid tools and how to tailor instructions. It then walks through hands-on wins like drafting email replies and summarizing meetings, emphasizing verification, refinement, and measurable outcomes for real workplace use.

LanguageEnglish

CategoryTechnology

FormatPDF

Pages156

Reading Time6 h 33 min

AccessFree to download

Preface

Chapter 1: Audit, Arm, Go

Where your hours actually go

The 30-minute time map

Scoring your tasks: Time vs. cognitive uniqueness

Building your hit list

Setting up your AI workbench

Why three tools, not one?

Free vs. paid: What you actually need

Teaching your tools who you are

Example custom instruction

Verifying everything works

Summary

Chapter 2: Your First AI Win

Walkthrough 1: Batch-draft three email replies

Walkthrough 2: Summarize a recent meeting

AI for Everyday Automation 7 AI workflows to save hours at work every week Dipankar Sarkar AI for Everyday Automation Copyright © 2026 Packt Publishing All rights reserved. No part of this book maybe reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book. Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information. Portfolio Director: Pavan Ramchandani Relationship Lead: Larissa Pinto Program Manager: Divij Kotian Content Engineer: Akanksha Gupta Technical Editor: Vidhisha Patidar Indexer: Rekha Nair Production Designer: Alishon Falcon Growth Lead: Nivedita Singh First published: June 2026 Production reference: 1240626 Published by Packt Publishing Ltd. Grosvenor House 11 St Paul's Square Birmingham B3 1RB, UK. ISBN 978-1-80808-981-7 [www.packtpub.com](www.packtpub.com) ForMaitrayee, whose constant support makes everything possible. For our two sons, who make every day an adventure. And in memory of my father, Amal, who taught me that the best work is done with patience and precision. – Dipankar Sarkar Contributors About the author Dipankar Sarkar is a Principal Engineer at Neul Labs where he builds open-source agentic AI tools. He previously served as Principal AI Architect at Aveni, an FCA-regulated fintech, where he worked at the intersection of AI capability and real-world deployment. He has filed multiple patents in generative AI and communication technologies. Dipankar holds a BTech in Computer Science and Engineering from IIT Delhi and an MS in Cybersecurity from Arizona State University. He is a published author and a machine learning researcher. He lives in Scotland with his wife and two sons. This book exists because of the people who made it possible. To my wife, Maitrayee, your constant support is the foundation everything else stands on. Your patience during long writing sessions, your sharp eye on early drafts, and your steady belief that this book would be worth the effort carried me through. Thankyou for being my first reader and my most honest critic. To our two sons, you are too young to read this, but old enough to have noticed that Dada was on his laptop more than usual. Thankyou for the interruptions. They were the best parts of my day. To my mother, for the discipline that makes a book possible, and the curiosity that makes it interesting. To my sister, foryour constant encouragement and for always asking how the writing was going, even when the answer was, "slowly. " To my father, Amal, Iwish you were here to hold this book. The scientific rigor you brought to your own work taught me how to bring the same to mine. This one is for you. To my father-in-law and mother-in-law, foryour warmth, your generosity, and the space you gave me to think and write. I am grateful. To the team at Packt, thankyou for believing that a concise book about AI workflows could be as valuable as a 500-page textbook, and for pushing it to be sharper and more practical at every turn. To my colleagues at Neul Labs and Skelf Research, the ideas in this book were tested in our daily work before they were written down. Thankyou for being the proving ground. And to every professional who picked up this book hoping to reclaim their

FAQs

What is the book’s main goal for readers?

It helps readers save hours every week by adopting seven practical AI workflows for everyday work tasks.

How does Chapter 1 help readers understand their time usage?

It introduces a “30-minute time map” and a method for scoring tasks by time spent versus cognitive uniqueness to build a targeted work list.

What do the walkthroughs in Chapter 2 demonstrate?

They show step-by-step how to draft email replies and summarize recent meetings using prompts, review loops, and refinement to improve results.

Aug 7, 2026

Upload by Finn