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Enterprise systems, fiscal solutions, retail automation, and architectures that need to remain reliable.

Technology explained with depth, clarity, and a commitment to people who need to apply knowledge in the real world.
Régys Borges da Silveira is an author, software developer, consultant, teacher, and speaker. For more than two decades, he has worked with Delphi and Object Pascal, enterprise systems, databases, APIs, integrations, Brazilian fiscal software, and the modernization of legacy applications, on projects in Brazil and abroad.
An Embarcadero MVP since 2014, he currently develops software at BDMG on assignment through Montreal and teaches the evening Digital Game Development technical course at SENAI Araxá. He has also worked as a consultant to Cegid on point-of-sale and retail automation solutions since 2012.
As the creator of regys.com.br, he shares knowledge through books, articles, video lessons, courses, talks, and open-source projects. His work connects software engineering, artificial intelligence, education, and leadership, emphasizing clarity, testing, and human responsibility for decisions.
He holds a degree in Information Systems from Uniaraxá and has completed postgraduate specializations in Software Engineering; Database Administration; Systems Development with Python; Artificial Intelligence and Data Science; Artificial Intelligence and Educational Technologies; Higher Education Teaching and Active Learning Methods; and Psychology in the Digital Age.
As of October 2026, he is pursuing seven specializations at Faculdade Metropolitana, with completion expected in November 2026: Data Science and Big Data Analytics; Industry 4.0; Cybersecurity; Occupational Health and Safety; Artificial Intelligence and Gamification in Education; Generative AI and Intelligent Agents for Business; and Brazilian Tax Reform in Practice. He has also completed USP extension courses in prompt engineering and leadership.
In 2018, he taught a single PHP programming workshop at Uniaraxá as a one-off activity, without an ongoing teaching appointment. His current teaching role is at SENAI. He takes part in technical events, live streams, and podcasts, and makes the open FireDAC course available on his YouTube channel.
His independent projects include RadIA, an AI assistant integrated into the Delphi IDE; Boss4D, a dependency manager; AgentKit4D, focused on quality and automation; delphi-unit-backtrace, for dependency analysis; and libraries for the Horse ecosystem. He also has a history of contributions to Projeto ACBr.
He organized the free Entender e participar collection, comprising 123 educational guides in Portuguese across nine reading pathways on citizenship, democracy, institutions, rights, information, and technology. The materials include sources for reference, browser reading, and free PDFs, with no registration required. The channels below bring together his background, technical work, and further learning materials.
Information reviewed in October 2026.
“Making complex ideas easier to understand without separating them from practice.”
Enterprise systems, fiscal solutions, retail automation, and architectures that need to remain reliable.
Courses, professional education, talks, and learning experiences connected to real situations.
Books, articles, open-source projects, and tools that turn experience into verifiable paths.
The books grow from the intersection of technical experience, teaching, and human decisions.
Architecture, responsible use, and practical application of models and agents.
Corporate systems, databases, architecture, and software evolution.
Teaching, learning, and technology while preserving authorship and responsibility.
Decisions, people, and results in contexts expanded by technology.
Choose a subject and continue through a dedicated book page.

Open this book beside your phone or computer and start using AI usefully, consciously, and safely.
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Understand what each student demonstrates and explore ways to plan, explain, offer support, and adjust your next lesson.
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Recognize when to pause, what to confirm, and how to seek evidence before believing, sharing, or acting.
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Move beyond prompting and design AI solutions that can operate reliably in the real world.
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Replace improvisation with method and guide AI through objectives, context, criteria, and responsibility.
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Use technology to reveal the right problem and restore attention to work that requires human judgment.
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Bring AI into education while preserving the teacher's authorship, judgment, and responsibility.
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Discover how we arrived here through an accessible journey across the ideas, people, and machines that changed the world.
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Learn to turn scattered data into evidence that supports more responsible business decisions and actions.
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Understand the journeys behind the empty chair and recognize signs while the student is still present.
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Build the bridge between your Delphi systems and AI agents with MCP, controlled capabilities, and human approval.
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Turn AI responses into Delphi solutions you understand, test, and maintain.
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Move beyond the first connection and build a predictable, secure data-access layer ready for production.
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Open the black box of language models by building, training, and running a small educational LLM in Delphi 13.
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Put specifications at the center and use AI with greater clarity, control, and technical quality.
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Restore your ability to evolve Delphi systems through small, verifiable, and reversible changes.
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