Guides

Practical tutorials. From zero to a fully functional AI-powered workflow.

easy first

ACE Framework for Personal AI Implement David Shapiro's six-layer cognitive architecture to give your Claude Code assistant mission, values, and strategic context Auto-Activating Skills in Claude Code Configure skills to trigger automatically based on keywords, file patterns, and context instead of manual slash commands. Automated Development Journaling with MCP and CLAUDE.md Connect Claude Code to your note app via MCP, then use CLAUDE.md instructions to create journals automatically as you work Build a Personal Knowledge Graph Connect your notes, projects, and contacts in a queryable graph. Entity extraction, Neo4j setup, and Obsidian graph visualization. Build a TIL System That Actually Works Set up a Today I Learned repo in 10 minutes. Low-friction knowledge capture that compounds into a searchable reference. Build Your First Browser Agent with browser-use Set up AI-powered browser automation in Python. Install browser-use, configure your LLM, and run your first web task in under 10 minutes. Building a Memory System Build persistent AI memory with Claude Code using episodic-memory MCP, memory files, and external tools like Obsidian and Notion Building Your First MCP Server Create custom MCP servers to extend Claude with your own tools Checkpointing - Safe Rollback for Agent Work How automatic checkpoints protect your work and let you recover from agent mistakes Claude Code for Non-Developers How product managers, analysts, and writers use Claude Code without writing a single line of code Claude Code Plugins System Extend Claude Code with plugins for custom tools, MCP servers, and workflows Claude Code Setup Guide Complete Claude Code setup guide: installation, MCP servers, custom CLAUDE.md instructions, shell aliases, and security configuration CLAUDE.md Best Practices Write effective project instructions that Claude reads at every conversation start Custom Slash Commands Create reusable workflows triggered by /name in Claude Code Customizing the Status Line Configure Claude Code's status line to display model, git status, tokens, and custom information Debug Your RAG Pipeline Before Users Notice Monitor retrieval-augmented generation systems with OpenTelemetry tracing. Find whether bad answers come from retrieval, context, or generation. From Chat to Cron: Building Automated PKM Pipelines Stop manually organizing notes. Build cron-triggered AI workflows that process, tag, and connect your knowledge base on autopilot. Git Worktrees for Parallel Agents Run multiple AI agents on the same codebase without conflicts using git worktrees Hooks System in Claude Code Automate workflows with deterministic triggers that run shell commands at specific points in Claude Code's lifecycle. How to Debug AI Agents A practical workflow for finding and fixing failures in AI agents using tracing, logs, and observability tools. Keep Claude Running for Hours Build autonomous development loops using todo files, hierarchical subagents, and context compaction to process task lists for hours without human input. LLM Logging: Capture Every AI Conversation Track prompts, responses, and token usage. Build a searchable archive of LLM interactions for debugging, learning, and prompt optimization. LLM-as-Judge Evaluation Use LLMs to evaluate LLM outputs. Build reliable automated judges through critique shadowing and iterative calibration with domain experts. MCP Server Stacking: One Data Source is Data, Two is Intelligence Combine multiple MCP servers to unlock cross-domain insights that no single server can provide on its own. Multi-Agent Content Pipeline with Claude Code Build autonomous content systems using Claude Code skills, semantic search, and chained agents Multi-Agent Coordination: How to Run Three AI Agents Without Merge Conflicts The four-phase workflow for running parallel AI agents on the same codebase using tmux, git worktrees, and a shared AGENTS.md file. Multi-Model Routing for LLM Applications Route requests to the right model based on task complexity. Cut costs 40-70% while maintaining quality where it matters. Parallel AI Sessions: Run Multiple Agents Run multiple AI agents simultaneously. Patterns for concurrent prompts, session orchestration, and task distribution across LLM workers. Pixel NAS: Turn a 2016 Pixel into a Google Photos Upload Daemon Use an original Pixel as a tiny always-on inbox that syncs photos from other devices and uploads them to Google Photos. Proactive AI Agent with Semantic Memory Turn your AI from reactive chatbot into proactive assistant using heartbeats, semantic search, and persistent memory. Quick Start: Pick Your Path Three ways to build a personal OS today. Choose based on your tools and comfort level: Claude Code for developers, GPT + Zapier for quick setup, or Gemini for Google users. Running Claude Code in Containers Isolate agent execution with Docker for security, scalability, and 24/7 operation Running LLMs on Your Hardware with llama.cpp Build llama.cpp from source, download GGUF models, pick the right quantization, and run a local AI server on Mac, Linux, or Windows. Sandboxing & Security for AI Agents How to isolate AI agents using OS-level sandboxing to prevent unauthorized access and reduce permission fatigue. Task Decomposition for AI Documentation Break documentation projects into discrete steps to get accurate, consistent output from AI tools instead of hallucinated garbage. The Skills System Create reusable AI capabilities with Claude Code skills Token Efficiency: Fit More in Less Practical techniques to reduce token usage, optimize context windows, and cut LLM costs without losing quality. Voice-First Content Creation Replace typing with talking. Brain dump while walking, transcribe with AI, generate multiple versions, polish the best. From 2 hours to 30 minutes per piece.

38 guides