Régys Borges da SilveiraBooks
AI Architecture
The conversation is only the visible layer.
IA Além da Conversa
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.
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This book is currently available in Brazilian Portuguese.
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
A path from intention to practice.
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.
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.
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
Knowledge that becomes action.
Developers, software architects, and technology leaders will find a direct approach connected to concrete problems.
✓ 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
Book readers
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How to turn language models into intelligent, secure, and operable solutions
Print edition ISBN: 978-65-02-31888-1Keep reading
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