Automate Real Work with AI

Automate Emails, Scheduling, and Data Entry with AI

Lena Devlin

• Publisher: Chiify
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9798259603967
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

AI agents API automation Build agents and API-driven pipelines that handle real tasks, connecting language models to tools, data, and the systems your work actually uses. This practical, hands-on guide takes you from beginner to pro, teaching you to automate real work with AI—no fluff, just code and results. You'll learn to design, deploy, and scale AI workflows that interact with databases, web services, and enterprise platforms, turning complex problems into automated solutions. Whether you're a developer, data scientist, or tech lead, this book provides step-by-step tutorials, real-world examples, and best practices for integrating LLMs into your existing infrastructure. Master prompt engineering, function calling, and agent orchestration to create reliable, production-ready systems. By the end, you'll have the skills to build custom AI assistants, automate repetitive tasks, and connect AI to any API or data source. This book stands out from competitors like [placeholder] and [placeholder] by focusing on practical implementation rather than theory. Perfect for professionals who want to move beyond chat interfaces and build real automation that saves time and drives results. Start automating your real work today. What You'll Learn Build AI agents that call APIs and process data Create multi-step automation pipelines Connect language models to databases and spreadsheets Implement error handling and retry logic for reliability Deploy agents to cloud or on-premises systems Who This Book Is For Developers, data engineers, and tech professionals who want to automate real tasks using AI. No prior AI experience needed—just basic programming skills.

Table of contents

• Automate Real Work with AI
• Automate Real Work with AI
• Preface
• Chapter 1 — Your Time Audit: Finding the Hours You’ll Automate
• Chapter 2 — Assembling Your Robot Toolbox: ChatGPT, Gemini, and Zapier
• Chapter 3 — Module 1: The Email Triager – From 2 Hours to 15 Minutes
• Chapter 4 — Module 2: The Data Entry Clerk – No More Copy-Paste
• Chapter 5 — Module 3: The Content Generator – Drafts in Seconds
• Chapter 6 — Module 4: The Scheduling Ninja – End the Email Tennis Match
• Chapter 7 — Module 5: The Customer Support Bot – Answers That Don’t Need You
• Chapter 8 — Module 6: The Social Media Scheduler – One-Click Month Planning
• Chapter 9 — Module 7: The Research Assistant – Summarize and Synthesize
• Chapter 10 — Module 8: The Personal Productivity Layer – To-Do Lists That Manage Themselves
• Chapter 11 — Weaving the Web: Integrating All Your Existing Apps
• Chapter 12 — Designing Custom Workflows: When Off-the-Shelf Isn’t Enough
• Chapter 13 — Keeping It Safe: Security, Privacy, and Ethics in Automation
• Chapter 14 — Measuring What Matters: Tracking Your Time Savings
• Chapter 15 — Scaling Up: From One Person to a Team-Wide System
• Chapter 16 — Future-Proofing: Advanced AI Trends and Next Steps
• Chapter 17 — Project Completion: Your 24/7 Virtual Assistant Goes Live
• Chapter 18 — Beyond the Book: Maintaining and Evolving Your Automation
• About the Author