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AI Architecture

The conversation is only the visible layer.

AI Beyond the Conversation

How to turn language models into intelligent, secure, and operable solutions

Move beyond prompting and design AI solutions that can operate reliably in the real world.

Print edition availableBuy the print bookRead on paper, ready to consult and keep close.R$ 169,75Buy on UICLAP Buy on KindleAlso included with Kindle Unlimited

Prices checked on 28/09/2026. Shipping is set by the store.

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This book is currently available in Brazilian Portuguese.

Edition1st edition2026Length474 pages16 × 23 cmBook languagePortugueseBrazilFormatsPrint and KindleTwo editionsISBN978-65-02-31888-1Print edition

About the book

A complete view of the book.

A conversational interface may be impressive, but it does not reveal everything an artificial intelligence solution needs to work in the real world. AI Beyond the Conversation examines the layers surrounding language models: context, data, retrieval, tools, identity, permissions, evaluation, cost, and operations.

The book guides readers from initial product decisions to systems built with RAG, function calling, workflows, agents, and MCP. At every stage it compares alternatives, makes risks explicit, and shows how to choose the smallest solution capable of delivering verifiable value. Its purpose is not to promote one technology, but to develop criteria for useful, secure, and sustainable experiences.

The challenge

Does this situation sound familiar?

A compelling demonstration is not a production solution. Real systems need trustworthy data, state, tools, permissions, controlled costs, evaluation, and recovery from failure.

The book’s approach

From a convincing answer to a solution you can evaluate.

Understand the decisions around the model and identify the smallest architecture capable of delivering value with evidence, control, and security.

“Models matter greatly, but they do not work alone.”

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

✓Design clear input and output contracts

✓Choose between workflows, agents, and simpler alternatives

✓Build RAG with verifiable criteria

✓Control identity, authority, and tool access

✓Evaluate quality, latency, and cost

✓Operate with security, governance, and observability

Questions that guide the reading

Answers begin with the right questions.

Questions explored through context, criteria, and examples.

When is a predictable workflow better than an agent?

How can RAG be built with evidence that retrieval works?

How should identity, permissions, and tools be controlled?

What should be measured to balance quality, latency, and cost?

Inside the book

A structured journey that helps you move forward.

Concepts and applications presented in a coherent sequence.

Models and prompting

Understand models, context, contracts, and prompting as parts of a larger solution.

Embeddings and RAG

Design retrieval with embeddings, traceable sources, and relevance criteria.

Function calling

Turn responses into controlled actions through schemas, validation, and failure handling.

Agents and MCP

Compare agents, workflows, and MCP while matching autonomy to risk.

Serving and costs

Evaluate execution options, latency, token usage, and operational sustainability.

Security and governance

Protect identity, data, and tools through continuous evaluation, logs, and governance.

Additional resources on GitHub

What makes this book different

Depth to understand. Clarity to keep moving forward.

Architecture before tools

Decisions supported by criteria and trade-offs

Security and operations treated as part of the product

A complete path from prompt to serving

Who this book is for

Find your place in this book.

Developers, software architects, and technology leaders.

✓ Developers✓ Software architects✓ Technical leaders✓ Product and technology managers

Before you begin

What you need to benefit from the book

✓General development knowledge helps, but machine learning expertise is not required

✓Concepts progress from models and data to architecture and operations

An informed choice

This may not be the right book if…

—Readers looking only for a collection of ready-made prompts

—Readers expecting one architecture to fit every project

Why this author, on this subject

Experience that gives the reading context.

Régys brings together his experience in software engineering, systems architecture, and applied AI to explain everything that exists beyond the conversational interface.

Beyond this book

Experiences from readers.

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Choose your edition

Continue your journey with the complete book.

How to turn language models into intelligent, secure, and operable solutions

Buy the print book on UICLAP · R$ 169,75 Prefer the Kindle edition? Buy on Amazon →Also included with Kindle Unlimited

Prices checked on 28/09/2026. Shipping is set by the store.

Print edition ISBN: 978-65-02-31888-1

AI Beyond the Conversation

How to turn language models into intelligent, secure, and operable solutions

A complete view of the book.

Does this situation sound familiar?

From a convincing answer to a solution you can evaluate.

Answers begin with the right questions.

When is a predictable workflow better than an agent?

How can RAG be built with evidence that retrieval works?

How should identity, permissions, and tools be controlled?

What should be measured to balance quality, latency, and cost?