AI & Productivity

The problem is not a lack of prompts. It is losing what you already know with every new request.

Don't Start from Zero

Create reusable specifications and prompts to produce better materials with AI

Turn context, rules, and examples into reusable specifications for creating better materials with AI, without starting again for every request.

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This book is currently available in Brazilian Portuguese.

EditionIn preparation2026Book languagePortugueseBrazilFormatsComing soonComing soon

About the book

A complete view of the book.

Don't Start from Zero begins with a common frustration: an AI conversation produces good material, but on the next request, rules, sources, examples, and decisions need to be explained all over again. Instead of collecting prompts, the book proposes saving what truly matters—knowledge, context, and criteria—in specifications that can be reused and improved.

Readers follow a practical path from disposable prompts to reusable models, from Markdown to complete specifications, and from sources to NotebookLM and other tools. By the end, they will know how to create consistent materials for different situations and build a personal library that turns accumulated experience into a starting point.

The challenge

Does this situation sound familiar?

When a good result is trapped in a conversation, its rules, sources, examples, and decisions need to be rebuilt for the next request. Work repeats itself, quality varies, and the knowledge produced is lost.

The book’s approach

A path from intention to practice.

Learn to turn prompts, context, rules, sources, and examples into reusable specifications. With them, you can produce consistent materials, adapt models to new goals, and build a personal knowledge library for working better with AI.

“Do not reuse prompts alone. Reuse knowledge, context, and rules.”

By the end of the book, you will be able to:

✓Identify what is worth turning into a reusable model

✓Evolve prompts into templates and Markdown specifications

✓Organize rules, sources, and examples so AI can work with context

✓Use the same specification in NotebookLM and other AI tools

✓Create different materials from one well-structured foundation

✓Build a personal library so you do not start from zero

Questions that guide the reading

Answers begin with the right questions.

Questions explored through context, criteria, and examples.

Why does a good answer lose value when it remains only in a conversation?

What is the difference between a disposable prompt and a reusable specification?

How can rules, sources, and examples be recorded without making the process complicated?

How can a useful foundation be adapted to new goals and AI tools?

Inside the book

A structured journey that helps you move forward.

Concepts and applications presented in a coherent sequence.

Stop starting from zero

Recognize why useful results are lost when they remain trapped in an isolated conversation.

From prompt to reusable model

Turn requests that work into models that preserve purpose, audience, format, and criteria.

Specifications in Markdown

Use Markdown simply to record instructions, rules, and the structure of a specification.

Sources and context

Bring together sources, examples, and references so AI has trustworthy material before you ask it to produce.

One specification, many results

Apply one specification to lessons, presentations, activities, assessments, reports, and other materials.

Personal library

Organize your models so you can reuse, adapt, and improve what you have already learned.

Source code and examples on GitHub

Content in preparation

Planned book structure

Explore the 5 parts and 12 planned chapters. Titles may be refined during editorial review.

View chapters12 chapters

Part I — Stop Starting from Zero

Stop starting from zero
Turning prompts into reusable models
Reusable specifications

Part II — Creating Your Specifications

Markdown without complication
Building your first complete specification
Sources: giving AI material to work with

Part III — Putting Them to Work

Putting everything into NotebookLM
Using the same specifications in other AI tools

Part IV — Building Complete Materials

One specification, many results
Creating a personal library

Part V — Complete Cases

Complete projects
Build your own system

What makes this book different

Depth to understand. Clarity to keep moving forward.

Not a collection of ready-made prompts: it teaches how to preserve reusable knowledge

A progressive method from prompt to specifications with sources and context

Independent from a single AI tool

Complete projects that show how one foundation can generate different materials

Who this book is for

Knowledge that becomes action.

Teachers, professionals, and creators who produce recurring materials with the support of artificial intelligence will find a direct approach connected to concrete problems.

✓ Teachers and instructors who create learning materials✓ Professionals who produce reports, procedures, communications, or training✓ Content creators who repeat audience, format, language, and rules✓ People without a technical background who want to use AI more consistently

Before you begin

What you need to benefit from the book

✓No programming or advanced technical knowledge is required

✓Basic familiarity with documents, files, and an AI tool is enough

An informed choice

This may not be the right book if…

—Readers looking for magic formulas or prompts that eliminate revision and judgment

—Readers who only want to copy results without organizing their own knowledge

Why this author, on this subject

Experience that gives the reading context.

A teacher, developer, and researcher of practical AI applications, Régys brings together knowledge organization, authorship, and real work to show how to turn good conversations into assets that remain useful.

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