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This wiki is a curated collection of research, analysis, and strategic guides covering AI agents, competitive intelligence, premium branding, and behavioral science.
A comprehensive, 25-lecture knowledge base on experimentation methodology, statistical techniques, and organizational implementation. This collection synthesizes academic research, industry best practices, and real-world case studies from Netflix, Airbnb, Spotify, Microsoft, Amazon, and Vanguard. Each lecture provides rigorous statistical foundations and practical implementation guidance for analytics professionals, data scientists, and business stakeholders.
Key topics covered:
- Statistical foundations: Sequential testing, CUPED/CUPAC, power analysis, variance reduction
- Email experimentation in the privacy era: Apple MPP, incrementality measurement, fatigue analysis
- Advanced methods: CATE analysis, multi-armed bandits, causal inference
- Organizational excellence: Operating models, governance, stakeholder communication
- Regulated experimentation: Model Risk Management (SR 11-7), Fair Lending, Conduct Risk
- Future directions: AI-powered design, privacy-preserving techniques, continuous optimization
67 detailed documents covering statistical methods, organizational frameworks, regulatory compliance, and industry best practices.
The most comprehensive synthesis of Anthropic's engineering blog and research publications. This definitive reference covers 14+ articles spanning December 2024 through January 2026, plus official documentation on prompt engineering, evaluations, and deployment. Essential reading for data analysts and teams building AI-focused analytics workflows.
Key topics covered:
- Context Engineering & Prompt Design
- Agentic Systems & Architecture Patterns
- Tool Use, MCP & Advanced Orchestration
- Agent Skills & the SKILL.md Pattern
- Multi-Agent Systems & Research Architecture
- The Claude Agent SDK & Claude Code
- Evaluation Frameworks & Benchmarking
- Safety, Alignment & Interpretability Engineering
- Inference, Deployment & Cost Optimization
- Practical Templates, Prompt Examples & Code Snippets
The definitive technical deep-dive into Claude Code's autonomous development platform. This exhaustive guide covers the complete evolution from Sonnet 4.5 to 4.6, Model Context Protocol (MCP), programmatic tool calling, Agent Teams architecture, and advanced orchestration patterns. Essential reading for developers, platform architects, and technical leaders implementing AI-powered development workflows.
Key topics covered:
- Timeline of innovations: Sonnet 4.5 → Opus 4.5 → Sonnet 4.6 (Feb 2026)
- Autonomous orchestration: Skills, Sub-Agents, and Agent Teams
- Claude Cowork desktop automation and browser integration
- Model Context Protocol (MCP) deep dive and tool discovery
- Programmatic Tool Calling (PTC) and sandboxed execution
- State management: Checkpointing, worktrees, and rewind mechanics
- Context compaction algorithms and session memory
- Peer-to-peer mesh architecture for multi-agent coordination
- Event hooks, SDK extensibility, and CI/CD integration
Part I: Strategic guide for technical leaders and LLM experts Part II: Deep architectural specification for developers
- Agents Companion v2
- Agile AI Agent Coordination
- AI Agents in Work and Life (2025–2030) – A Decision-Ready Analysis
- Anthropic - How We Built Our Multi-Agent Research System
- Efficient Agents: Building Effective Agents While Reducing Cost
- Google's AI Agent Ecosystem
- Infographic: AI Agents vs. Agentic AI
- McKinsey - What is an AI Agent
- OpenAI - A Practical Guide to Building Agents
- OpenAI Swarm: Comprehensive Guide
- The Ascendance of Agentic AI
- The Architect's Handbook for AI Agent System Prompts
- Why Agents are the Next Frontier of Generative AI
- AI-Enabled Hardware: Mapping the Path to the Next
- Five Ways B2B Sales Leaders Can Win with Tech and AI
- OpenAI - AI in the Enterprise
- OpenAI - Identifying and Scaling AI Use Cases
- The Case for Human-Centered AI
- The Human Side of Generative AI: Creating a Path to Productivity
- Unlocking Profitable B2B Growth through Gen AI
- 42signals E-Commerce Intelligence Knowledge Base Synthesis
- Competitive Intelligence in U.S. E-Commerce: Amazon Focus
- Competitive Intelligence in E-commerce and Amazon Arena
- Online Competitive Intelligence for Consumer Brands
- Premium Consumer Brand Performance on Amazon (2025)
- Retail Media Overview
- Vibe Analytics: The Future of Data-Driven Decision Making
- Email Marketing Holdout Attribution Innovations
- Rory Sutherland's Psycho-Logic Alchemy of Value and Perception
- Rory Sutherland Anecdotes 01
- Rory Sutherland Anecdotes 02
- Rory Sutherland Anecdotes 03
- Rory Sutherland Anecdotes 04
- Youtube: Rory Sutherland on Why Marketing is the Answer to Growth
- This Is Marketing (Seth Godin Summary)
- Claude Code Architecture & Ecosystem (Exhaustive Guide)
- Anthropic - Claude Code Best Practices
- Architectural Patterns for Text-to-SQL RAG Systems
- Building Streamlit Chatbot with Copilot
- Development Guide for Natural-Language-to-SQL Python Tool
- Google - Prompt Engineering Guide
- LangGraph and LangChain in Python (May 2025)
- Notion for Advanced Users
- Recreating Deep Research in Claude Code
- Recursive Deep Research
- Web Technology Overview
- Setting Up a Docker Server (Gemini)
- Strategic Market Audit: Vanguard 529 College Savings Plan
- In-Depth Analysis and Strategic Recommendations for VG529
- Pro Analysis of VG529 Plan
- What is an AI Agent?
- The AI-Augmented McKinsey Mind
- McKinsey Report Writing Process Analysis
- The Economic Potential of Generative AI
- What is an AI Agent?
- The AI-Augmented McKinsey Mind
- Report Writing Process Analysis
- The Economic Potential of Generative AI
- A Practical Guide to Building Agents
- AI in the Enterprise
- Identifying and Scaling AI Use Cases
- OpenAI Swarm Guide
- ⭐ Anthropic Engineering Knowledge Base: The Definitive Reference
- ⭐ Claude Code Architecture & Ecosystem: Exhaustive Technical Guide
- Claude Code Best Practices
- How We Built Our Multi-Agent Research System
Generated by Gemini CLI
- Agents Companion v2
- Agile Coordination
- AI Agents (2025–2030)
- Anthropic: Multi-Agent Research
- Efficient Agents (Cost Reduction)
- Google's AI Ecosystem
- Agents vs Agentic AI
- McKinsey: What is an Agent?
- OpenAI: Building Agents
- OpenAI Swarm Guide
- Ascendance of Agentic AI
- System Prompts Handbook
- AI-Enabled Hardware
- B2B Sales Tech & AI
- OpenAI: AI in Enterprise
- Scaling AI Use Cases
- Human-Centered AI
- AI & Productivity
- B2B Growth via Gen AI
- 42signals Synthesis
- CI in U.S. E-Commerce
- [CI: Amazon Arena](Competitive-Intelligence-in-the-E-commerce and Amazon-Arena_-Current-State-and-Future-Horizons.md)
- Premium Brands on Amazon
- Retail Media
- Claude Code Architecture (Full)
- Claude Code Best Practices
- Text-to-SQL RAG Patterns
- Streamlit Chatbot Guide
- NL-to-SQL Development
- Prompt Engineering Guide
- LangGraph & LangChain
- Notion Mastery
- Deep Research in Claude Code
- Recursive Deep Research
- Web Tech Overview
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