ReasonKit Interactive Tutorial System
Overview
The rk onboard command provides a progressive, interactive environment for mastering ReasonKit. Instead of reading walls of text, you learn by doing—executing real commands and analyzing live results.
Getting Started
To start your journey, simply run:
rk onboard
This will open an interactive menu where you can choose your learning path.
Tutorial Curriculum
The curriculum is divided into five specialized levels:
Level 1: First Time Setup (5 min)
- Verification: Confirming your installation and environment.
- Quick Start: Running your very first reasoning command.
- Configuration: Setting up your preferred LLM providers (Anthropic, OpenAI, etc.).
Level 2: Core Reasoning (15 min)
- The 5 ThinkTools: Deep dive into GigaThink, LaserLogic, BedRock, ProofGuard, and BrutalHonesty.
- Profiles: Learning when to use
--quickvs--paranoid. - Hands-on Analysis: Guided walkthrough of a real-world decision.
Level 3: Memory & Knowledge (20 min)
- Ingestion: How to feed PDFs and documents into your local knowledge base.
- Hybrid Search: Understanding the power of combined dense and sparse retrieval.
- RAG: Setting up Retrieval-Augmented Generation for fact-based reasoning.
Level 4: Web Sensing (15 min)
- Deep Research: Using
rk webto crawl and synthesize the latest internet data. - Verification: Automating claim verification against live web sources.
Level 5: Task Orchestration (15 min)
- Flow: Organizing complex goals into manageable tasks.
- JTBD: Tracking outcomes based on the “Jobs-to-be-Done” framework.
Advanced Usage
If you want to jump straight to a specific topic:
# Core reasoning only
rk onboard --tutorial core
# List all available modules
rk onboard --list
Features
- Zero-Risk Demos: Includes simulated environments so you can learn even without active API keys.
- Progress Tracking: Visual progress bars show how far you’ve come.
- Branching Paths: The tutorial adapts based on your answers and interests.
MCP (Pro) Tip: ReasonKit MCP (Pro) users get access to exclusive interactive exercises for advanced team collaboration and large-scale document analysis.