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Artificial Intelligence

What happens when your AI knows how you work?

Most people use AI like a search engine. They type a question, read the answer, close the tab. The ones pulling ahead use it differently — as a thinking partner that knows their standards, follows their judgment, and works while they sleep.

The gap between those two modes is setup. It takes 30 minutes. Most people never do it.

Where to Start

If you are...Start hereTime
A creator or business owner new to AI toolsOnboarding — five practical steps30 min
A developer configuring Claude Code for a projectConfig Architecture20 min
Choosing between AI models or toolsLLM Comparison10 min

The Shift

Using AI as a tool: you tell it what to do each time.

Using AI as a system: you tell it how you work once. It applies that judgment every time, on every file, without reminders.

The mechanism is the Cascade. Intention becomes a rule. A rule becomes a hook — a script that runs automatically on every action. Hooks become a system that enforces your standards without you watching.

Mantra → Rule → Hook → System

Claude Code is the instrument that runs this pattern for software and content work. The setup guide shows how it works in practice.

What's Here

SectionWhat it covers
OnboardingGuided setup — from install to first working loop
OrchestrationConfig architecture — agent-agnostic, portable, enforceable
PrinciplesHow models work, how to choose between them, data and reasoning
ToolsClaude Code, Cursor, Codex, Gemini CLI — setup and patterns
PromptsLibraries for coding, analysis, communication, creative work
SkillsModular capabilities you can invoke or compose
AgentsSubagents, agent teams, multi-agent coordination

Context

  • Mantra — the Cascade concept: how intention becomes an automated system
  • Config Architecture — the agent-agnostic setup standard
  • Claude Code — the most complete tool guide here
  • LLM Comparison — choosing the right model for the job
  • Standards — the AAIF standard that governs agent config

Questions

When does investing in AI configuration pay back more than just prompting better — and how would you know the difference?

  • What's the minimum viable CLAUDE.md that would make a meaningful difference to how you work today?
  • Which of your current workflows is most repetitive and most dependent on your personal judgment — and is that a candidate for an AI loop?
  • If your AI setup compounds over time, what does it look like in 12 months versus starting from scratch each session?