Knowledge Base Public

A curated collection of research, analysis, and strategic guides covering AI agents, competitive intelligence, experimentation methodology, premium branding, and behavioral science.

📚 Browse the Knowledge Base

→ Wiki (Desktop & Web)

The primary knowledge base with full wiki navigation, automatic linking, and search. Recommended for desktop and web browsers.

→ /wiki Directory (Mobile-Accessible)

Complete mirror of the wiki content accessible on mobile GitHub clients. Start with wiki/Home.md for the full table of contents.

⭐ Featured Resources

Project Experiment

A comprehensive, 25-lecture knowledge base on experimentation methodology, statistical techniques, and organizational implementation. 67 detailed documents covering statistical methods, organizational frameworks, regulatory compliance, and industry best practices from Netflix, Airbnb, Spotify, Microsoft, Amazon, and Vanguard.

Anthropic Engineering Knowledge Base

The most comprehensive synthesis of Anthropic's engineering blog and research publications covering context engineering, agentic systems, tool use, MCP, evaluation frameworks, and deployment patterns.

Claude Code Architecture & Ecosystem: Exhaustive Technical Guide

The definitive technical deep-dive into Claude Code's autonomous development platform, covering Sonnet 4.5 → 4.6 evolution, Model Context Protocol (MCP), programmatic tool calling, Agent Teams architecture, plugin system, and advanced orchestration patterns.

Vibe Analytics

The future of data-driven decision making in the age of large language models and AI agents. Covers the paradigm shift from execution to orchestration, High-Fidelity Intent Specifications (HFIS), and Agile Agentic Analytics.

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🔧 Markdown Viewer Tools

Links to other projects:

• Markdown Viewers:
  • https://github.com/retext-project/retext
    • Native GUI: It runs as a standalone desktop window, not a local web server/browser tab.
    • Live Preview: It features a synchronized preview pane that updates as the content changes.
    • Extensible: Because it is written in Python, you can easily add extensions (like MathJax for formulas).
  • https://github.com/alexaldearroyo/MarkdownViewer
    • Description: A compact viewer built specifically with Python and PyQt5 for macOS.
    • Pros: Designed solely for viewing; simpler interface.
    • Cons: Less actively maintained than ReText.
  • https://github.com/joeyespo/grip
    • The most accurate viewer is Grip, which uses the actual GitHub API to render markdown, ensuring it looks exactly like it does on GitHub.
    • How it works: You run grip myfile.md in the terminal, and it opens a browser window that auto-refreshes whenever you save the file.