Augmented Mind: A Method for Learning, Working, and Building with AI - Volume 3: Building with AI (Phương pháp học, làm và kiến tạo cùng AI)
Abstract
Volume 3 of the Augmented Mind series moves the reader from AI user to AI builder, closing the use, evaluate, build arc of the series core. Across eight chapters it covers deciding when to build a tool versus simply use a chat interface, expressing an idea as a specification precise enough for AI to generate correct code, just enough Python, calling a model through an API and using Google AI Studio, structured output such as JSON and schemas with system instructions and function calling, grounding an assistant in one's own data through retrieval-augmented generation with chunking and embeddings at a conceptual level, building a simple plan-act-observe agent that keeps planning in human hands, and evaluating what one builds with test sets and LLM-as-judge. It assumes no prior programming: the reader specifies, directs, and verifies AI-generated code rather than blindly pasting it. Durable method and architecture are emphasized over product walkthroughs, and the verification habit from Volume 2 becomes executable tests.
Read the paper
Related studies
- Knowledge Management Perspective of Generative Artificial Intelligence
- Navigating Generative Artificial Intelligence Promises and Perils for Knowledge and Creative Work
- Characterizing the evolving research on enterprise content management
- Large language models and multimodal foundation models for precision oncology
- From Generative AI to Extended Reality: Multidisciplinary Perspectives on the Challenges, Opportunities, and Future of Educational Computing
- Generative Artificial Intelligence: A New Engine for Advancing Environmental Science and Engineering
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.