πŸ“š MOC β€” Books

Overview

All book-length works processed for the PUMA vault. Organised by theme. Use Template-Book-Note for new entries.


πŸ€– AI, Human-AI Collaboration & Society

  • LN-Lawrence-2024-AtomicHuman β€” The Atomic Human (Lawrence, 2024) β€” human uniqueness in the AI age; embodied intelligence; HITL theoretical framing
  • LN-Suleiman-2023-ComingWave β€” The Coming Wave (Suleyman & Bhaskar, 2023) β€” AI/biotech proliferation; containment problem; wide safety framework

🎯 Prompting & AI Methodology

  • LN-Shum-2025-PensarConPrompts β€” Pensar con Prompts (Shum, 2025) β€” CO-STAR framework; 20+ prompting techniques; structured output; generative cognition

βš™οΈ Agile, XP & Software Engineering

  • LN-Beck-1999-XPExplained β€” Extreme Programming Explained (Beck & Andres, 2nd ed. 2004) β€” XP values, TDD, story points, planning game, adaptive development

🏒 Business Systems & Operations Management

  • LN-Carpenter-2025-WorkTheSystem β€” Work the System (Carpenter, 5th ed. 2025) β€” systems mindset; SOP documentation; working ON vs. IN the business
  • LN-Gerber-2009-EMythRevisited β€” The E-Myth Revisited (Gerber, 2009) β€” entrepreneurial myth; Technician/Manager/Entrepreneur; franchise prototype
  • LN-Wickman-2012-Traction β€” Traction (Wickman, 2012) β€” EOS; 6 components (Vision, People, Data, Issues, Process, Traction); Rocks; L10 meetings
  • LN-Harnish-2022-ScalingUp β€” Scaling Up (Harnish, Revised 2022) β€” Rockefeller Habits; Four Decisions; One-Page Strategic Plan
  • LN-Goldratt-2004-TheGoal β€” The Goal (Goldratt & Cox, 3rd rev. ed. 2004) β€” Theory of Constraints; bottleneck; throughput; Five Focusing Steps
  • LN-Price-2022-Frictionless β€” The Frictionless Organization (Price & Jaffe, 2022) β€” customer effort; friction mapping; DIRTFT; Customer Effort Score

πŸ€– AI Implementation & Agent Systems

  • LN-Wooldridge-2009-MultiAgentSystems β€” An Introduction to MultiAgent Systems (Wooldridge, 2nd ed. 2009) β€” BDI agents; reactive vs. deliberative; coordination and negotiation; formal agent definition
  • LN-Tunstall-2022-NLPTransformers β€” Natural Language Processing with Transformers (Tunstall et al., 2022) β€” Hugging Face pipeline; LoRA fine-tuning; GGUF quantization; local inference
  • LN-Shieh-2024-GenerativeAIAgents β€” Generative AI Agents (Shieh, 2024) β€” ReAct implementation; RAG pipelines; SDD and CDD for agents (Packt)
  • LN-Mavor-Parker-2024-AgenticAI β€” Agentic AI (Mavor-Parker, 2024) β€” LangGraph cyclical workflows; Bounded Autonomy levels; HITL handoff patterns (Manning)

πŸ“– Knowledge Management & Research Methods

  • LN-Ahrens-2017-SmartNotes β€” How to Take Smart Notes (Ahrens, 2017) β€” three-tier note system; atomic notes; link-over-folder; Zettelkasten slip-box (CreateSpace)
  • LN-Wohlin-2012-ExperimentationSE β€” Experimentation in Software Engineering (Wohlin et al., 2012) β€” factorial design; validity threats; Wilcoxon justification; PUMA experimental backbone (Springer)
  • How Big Things Get Done (Flyvbjerg & Gardner, 2023) β€” see LN-Books-KeyReferences
  • Getting Things Done (Allen, 2001) β€” see LN-Books-KeyReferences

πŸš€ Quick Notes

πŸ“’ Misc.

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