AI for Everyday Automation

What this book covers

Most professionals spend their days juggling a constant flow of information, communication, and coordination. Individually, these tasks seem small. Together, they consume hours every week. AI for Everyday Automation shows you how to use AI to turn these recurring responsibilities into practical, repeatable workflows.

Using tools like ChatGPT, Claude, and Perplexity, this book walks you through seven practical workflows for automating emails, meetings, research, reports, task tracking, spreadsheets, content creation, and professional communication. Each workflow includes prompts, templates, and step-by-step guidance that you can immediately apply to your own work.

By the end of the book, you'll have a set of repeatable AI-assisted systems that help you save time, reduce repetitive work, and get through your workday with far less friction.

Key features

• Learn practical AI workflows for communication, research, reporting, coordination, and data analysis
• Master ready-to-use prompts, templates, and AI workflow patterns with tools like ChatGPT, Claude, and Perplexity
• Build reliable daily AI productivity routines that speed up repetitive work

What you will learn

• Automate email triage and response drafting using AI-assisted workflows
• Generate meeting summaries, action items, and follow-ups in minutes
• Conduct research and create structured briefs faster with AI tools
• Build reports, proposals, and business documents using reusable prompt chains
• Extract tasks and status updates automatically from conversations and meeting notes
• Analyze spreadsheets and messy data without advanced Excel skills
• Create professional content and communications faster while maintaining your personal voice

Who this book is for

This book is for professionals who spend a large part of their day handling emails, meetings, reports, research, spreadsheets, and coordination work. It's designed for readers who have experimented with AI tools but want practical ways to turn them into reliable everyday productivity systems. No technical background is required.

Table of contents

1. 1. Audit, Arm, Go
2. 2. Your First AI Win
3. 3. Inbox Zero in 25 Minutes
4. 4. Meetings That Actually Work
5. 5. Research in 30 Minutes, Not 3 Hours
6. 6. First Drafts in 15 Minutes
7. 7. Tracked Tasks in 15 Minutes
8. 8. Spreadsheets Without Writing Formulas
9. 9. Write Once, Use Everywhere
10. 10. Your Automated Week
11. 11. Appendix

About the author

Dipankar Sarkar is the author of AI for Everyday Automation (Packt, 2026) and the open-source GenAI Playbook. He writes about practical AI adoption — from everyday productivity workflows to enterprise agentic AI strategy. Read more about the author →

How this book differs from the free GenAI Playbook

This book and the GenAI Playbook on this site solve different problems for different readers. The book is for an individual who wants to spend less time on email, meetings, and reports this week — it's chat-tool prompts and templates, no technical setup required. The Playbook is for a leader or team planning an organization-wide GenAI or agentic AI rollout — strategy, governance, data architecture, and (in its Agentic AI half) building and deploying autonomous agents. If you're deciding where to start: read the book if your goal is personal productivity, and the Playbook if your goal is an organizational implementation plan.

Frequently asked questions

Do I need to know how to code?

No. Every workflow uses chat-based tools (ChatGPT, Claude, Perplexity) through their normal interfaces — there is no scripting or API setup involved.

Does this book cover building AI agents?

No — this book is about using existing chat-based AI tools for daily productivity. For building and deploying autonomous AI agents, see the Agentic AI Playbook chapters instead.

Which AI tools do I need?

The workflows are written around ChatGPT, Claude, and Perplexity, but the underlying prompt patterns and templates are tool-agnostic and adapt to any capable chat assistant.

Is this a general AI book or specifically about productivity?

It's deliberately narrow: seven recurring workplace tasks — email, meetings, research, reports, task tracking, spreadsheets, and written communication — each turned into a repeatable workflow, rather than a broad survey of what AI can do.