AI Knowledge Base
A practitioner’s guide to understanding, using, and deploying AI systems effectively — from first principles to production systems.
New to AI? Start with How LLMs Work for the mental model that makes everything else click. Already building? Jump to the Toolkit or browse the Prompt Library.
Choose Your Path
Foundations
Core concepts: how LLMs work, tokens, pricing, model selection, agents, memory, and deployment. Start here to understand the technology.
Toolkit
Hands-on guides for Claude Code, MCP Servers, n8n, Obsidian, and web scraping. Setup instructions, workflows, and production patterns.
Prompt Library
Battle-tested prompts for documentation, market research, landing page audits, and web scraping. Copy, paste, deploy.
Playbooks
Complete AI automation systems for Sales, Product Management, and Design. Architectures, costs, and measurable results.
What Makes This Different
Every article includes cost analysis, decision frameworks, and comparison tables. No hype — just data to make informed choices about AI adoption.
Step-by-step setup guides, production checklists, and copy-paste prompts. Built from real projects, not theoretical examples.
Organized by role: sales, PM, design, development. Share the playbook section relevant to each team member’s work.
Quick Reference
| Question | Answer |
|---|---|
| How much does AI cost? | Tokens & Pricing |
| Which model should I use? | Choosing a Model |
| How do I set up Claude Code? | Claude Code |
| How do AI agents remember? | Memory & RAG |
| Give me a prompt I can use now | Prompt Library |
| How do I automate my sales? | Sales Playbook |
This knowledge base is built on DocPlatform — a self-hosted, git-backed documentation system. Every component you see (cards, tabs, callouts, steps, accordions) is a built-in directive.