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Alex Thorpe provides a practical exploration of building AI systems that are reliable, understandable, and human-centered. The content spans philosophy, evaluation, and hands-on experiments for developers, product managers, and researchers.

• Guiding Philosophy: AI systems should be understandable, predictable, and aligned with real human needs. The approach emphasizes clarity, constraints, and careful evaluation.
• Notebook: Working notes on evaluation, agent design, and the practical realities of LLM-powered systems. These capture early ideas and frameworks in progress.
• Experiments: A collection of small, thoughtful AI tools and prototypes covering retrieval, evaluation, summarization, and interactive visualization. Each project is built, tested, and refined through real user interaction.
• Product Patterns: Insights on designing features and workflows that behave reliably, expose reasoning, and give users meaningful control.

This resource is updated regularly as new challenges and patterns emerge in the field of human-centered AI.