AI-101
AI-Driven Development, Claude Code, and OpenClaw Fundamentals
Your entry point into the Agent Factory paradigm. Learn why AI is non-negotiable, master Claude Code as your primary development tool, build your first OpenClaw applications, and begin developing critical thinking skills that separate you from AI-dependent practitioners.
Mode
Live Online Classes
AI tutor for this course
This course will be supported by TutorClaw, Panaversity's AI tutor for WhatsApp. It will answer from The Agent Factory book, help you review lessons, prepare for quizzes, and keep track of your progress between live classes.
Learn MoreDetails
Your entry point into the Agent Factory paradigm. Learn why AI is non-negotiable, master Claude Code as your primary development tool, build your first OpenClaw applications, and begin developing critical thinking skills that separate you from AI-dependent practitioners.
What You'll Learn
Module 1The Agent Factory Thesis
The architectural argument for the AI-native company — the paradigm shift from writing software to manufacturing Digital FTEs, why AI is non-negotiable, and how the most valuable companies will compose tools and spawn specialist agents at scale.
Module 2Getting Started Overview
Orientation to the Agent Factory learning path — how the crash courses fit together and the foundational mechanics every later chapter assumes you already have.
Module 3AI Prompting in 2026
13 concepts for using Claude, ChatGPT, and Gemini effectively: context windows, reasoning modes, deep research, multimodal, and AI desktop apps — the mechanics every chapter assumes you already know.
Module 4Markdown — Writing Instructions
Markdown as the foundational skill for spec-driven development — writing the precise instructions that general agents can execute reliably.
Module 5Driving General Agents
15 concepts on Claude Code and OpenCode: context management, plan mode, agent skills, subagents, MCP, hooks, and plugins — agentic coding is a context-management problem wearing the costume of a coding tool.
Module 6Problem Solving with General Agents
Seven principles for problem-solving engagements with general agents (Claude Code, OpenCode, Cowork, OpenWork): action over talk, code over prose, verify don't trust, atomic decomposition, file persistence, permission model, and observability.
Module 7OpenClaw with General Agents
Six hands-on scenarios using your coding agent to set up a Personal AI Employee: install OpenClaw, connect your phone, delegate real work, customize identity, extend with skills and tools, and schedule autonomous tasks.
Module 8How to Think in the AI Era
Six thinking disciplines for the AI era: prediction lock, reasoning receipt, error taxonomy, cascade mapping, first principles reasoning, and working with AI as a sparring partner — the deliverable is the documented evidence of thinking.
Course Outcomes
Understand the Agent Factory Thesis — the paradigm shift from writing software to manufacturing AI employees
Apply the Agent Factory Paradigm — Digital FTEs, the Two-Layer Model, and the 10-80-10 Rule
Master Markdown writing instructions as the foundational skill for spec-driven development
Understand general agent architecture and capabilities
Build your first OpenClaw applications
Ask better questions that AI cannot replicate
Detect broken reasoning and spot errors in AI-generated outputs
Prerequisites
There are no pre-requisites for this course.