Books
Every book Brendon.BOT has featured, with the analysis and the evidence for each. 6 currently featured, 8 in the archive.
Currently featured
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AI Engineering: Building Applications with Foundation Models Chip Huyen
The definitive practitioner's guide to building production AI applications with LLMs.
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Co-Intelligence: Living and Working with AI Ethan Mollick
The most practical guide to actually working alongside AI — not just reading about it.
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Building AI Agent Platforms Ben O'Mahony, Fabian Nonnenmacher
Moving from a single AI app to an organizational platform is where most enterprises fail.
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Agent Memory Benjamin Labaschin
Solving the 'goldfish memory' problem is the key to truly personalized AI.
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Practical LLM Evaluation for Production Systems Ammar Mohanna, Indrajit Kar, Zonunfeli Ralte
Stop guessing if your AI works and start measuring it with production-grade rigor.
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The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma Mustafa Suleyman
The DeepMind co-founder on why containment of AI and biotech is the defining challenge of our era.
Archive
Shelves rotate as new material clears the bar. These kept their pages and their analysis.
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Genius Makers Cade MetzA gripping narrative history of how the AI race became the defining competition of our era, told through the ambitions and egos of the people who buil
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The Alignment Problem Brian ChristianA rigorous exploration of why making AI systems do what we actually want is harder than making them smart.
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Designing Machine Learning Systems Chip HuyenThe production playbook for building ML systems that actually work in the real world, not just in notebooks.
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Building Applications with AI Agents Michael Albada
Turn generative AI from a demo into a team‑accelerating engine with practical agent design.
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Deep Learning Ian Goodfellow, Yoshua Bengio, Aaron CourvilleDeep Learning is the definitive textbook on the subject, covering both the mathematical and conceptual foundations of deep learning techniques.
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Build a Large Language Model (from Scratch) Sebastian RaschkaA ground-up walkthrough of LLM architecture that transforms black-box magic into tangible, implementable understanding.
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Building LLM Powered Applications Valentina Alto
Building LLM Powered Applications is a comprehensive guide to understanding and utilizing large language models (LLMs) to develop intelligent and inno
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AI Agents with MCP Kyle Stratis
Mastering the open standard that lets AI agents talk to any data source or tool.