This is a personal resource hub and portfolio for developers, product leaders, and researchers focused on creating practical, human-centered artificial intelligence. It provides frameworks, working notes, and experimental tools aimed at making AI systems more reliable and understandable.

Notebook: Features ongoing working notes that document the process of building with large language models. These notes cover evaluation techniques, agent design patterns, and product development, serving as an open log of practical reasoning.

Experiments: A collection of small, functional prototypes and tools. These projects test concepts in areas like retrieval, summarization, and visualization, demonstrating a hands-on approach to understanding AI interaction.

Philosophical Foundation: The work is guided by a core belief that AI should be predictable and aligned with human needs. This principle informs all content, emphasizing clarity, user control, and rigorous evaluation over raw capability.

Practical Focus: The material avoids purely theoretical discussion, concentrating instead on actionable insights and tools derived from real-world building, testing, and refinement cycles.