Régys Borges da SilveiraBooks
AI & Automation
Talking to AI was only the beginning.
From Conversation to Action
Build AI agents and automations that work for you
Move beyond conversation and build automations and agents that organize information, use tools, and perform tasks under your control.
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This book is currently available in Brazilian Portuguese.
About the book
A complete view of the book.
Between receiving a good answer from artificial intelligence and seeing the work actually happen, there is still a gap. From Conversation to Action begins there, showing how recurring tasks can become executable workflows that organize information, connect services, and prepare or perform actions within clear limits.
Without requiring programming, the book follows the development of a Digital Assistant built with n8n. Triggers, conditions, context, memory, tools, approvals, and human supervision appear in practical experiences, always considering what may fail and what should not be delegated. By the end, readers will have criteria for identifying real opportunities and taking a solution from the laboratory into operation.
The challenge
Does this situation sound familiar?
A good answer still leaves work to be done: interpreting, deciding, copying information, opening applications, filling fields, tracking deadlines, and checking results. Without an executable workflow, intelligence ends with the conversation.
The book’s approach
A path from intention to practice.
Learn to observe processes, choose what is worth delegating, and build an n8n Digital Assistant that connects services, interprets requests, and acts within clear limits, with human approval whenever necessary.
“Artificial intelligence truly changes your work when the conversation ends and action begins.”
By the end of the book, you will be able to:
✓Recognize tasks suited to automation and agents
✓Turn recurring processes into clear, verifiable workflows
✓Connect applications and information with the least access required
✓Give an AI agent context, memory, and tools
✓Define autonomy, approvals, and limits proportional to risk
✓Take a solution from the laboratory into safe operation
Questions that guide the reading
Answers begin with the right questions.
Questions explored through context, criteria, and examples.
How can applications be connected without granting more access than necessary?
When does a workflow need AI, and when are simple rules better?
How far should an agent act alone, and when should it request approval?
Inside the book
A structured journey that helps you move forward.
Concepts and applications presented in a coherent sequence.
From conversation to automation
Identify repetitive work, rules, and opportunities before choosing a tool.
Putting machines to work for you
Model workflows, build your first n8n automation, and connect applications safely.
Intelligence inside workflows
Use AI models to interpret requests, choose paths, and preserve context.
From automation to agent
Build an agent, provide bounded tools, and talk to your own assistant.
Agents for real life
Apply automations and agents to real situations without handing important decisions to a machine.
Your personal AI system
Bring workflows, context, memory, and supervision together in a coherent system under your control.
Operation and evolution
Organize knowledge, distribute work among agents, and prepare the solution for reliable operation.
Content in preparation
Planned book structure
Explore the 7 parts and 17 planned chapters. Titles may be refined during editorial review.
View chapters17 chapters
Part I — From Conversation to Automation
- Are you still doing machine work?
- When AI stops answering and starts acting
- What is worth automating?
Part II — Putting Machines to Work
- Thinking like an automation
- Your first automation with n8n
- Making your applications talk to each other
Part III — Adding Intelligence to Automation
- When the workflow starts to think
- Decisions, paths, and context
Part IV — From Automation to Agent
- Your first agent
- Give your agent tools
- Talk to your own assistant
Part V — Agents Working for You
- Automations and agents for real life
- How far should we let AI act?
Part VI — Your Personal AI System
- From conversation to action
Part VII — After the First System
- Knowledge, memory, and sources
- When to divide work among agents
- From the laboratory to operation
What makes this book different
Depth to understand. Clarity to keep moving forward.
Concepts introduced before tools, with no programming required
A Digital Assistant project that evolves throughout the book
Practical experiences with n8n, integrations, context, and agents
Security, human supervision, and operation addressed from the first workflow
Who this book is for
Knowledge that becomes action.
People who want to automate everyday tasks and build useful agents without needing to know how to program will find a direct approach connected to concrete problems.
✓ Professionals who repeat tasks across messages, documents, and applications✓ People interested in automation and agents without a programming background✓ Entrepreneurs and teams that want to connect processes more thoughtfully✓ AI users who want to turn answers into useful, supervised actions
Before you begin
What you need to benefit from the book
✓No programming knowledge is required
✓Basic familiarity with applications, files, and online services is enough
An informed choice
This may not be the right book if…
—Readers seeking to remove people from processes or delegate important decisions to machines
—Readers expecting ready-made automations without observing, testing, and monitoring their own processes
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Os links oficiais serão publicados assim que as edições estiverem disponíveis.
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