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 1Orientation Presentation
Orientation to the Agent Factory learning path — how the crash courses fit together and the foundational mechanics every later module assumes.
Module 2What AI Actually Is
The mental model the rest of the course builds on: what today's AI models really are, what they can and cannot do, and the vocabulary (context, reasoning) later modules assume.
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.
Module 4Markdown In, HTML Out
Markdown as the instruction-writing foundation for spec-driven work — write structured instructions that AI reliably turns into finished output.
Module 5Code You Never Write
Describe a problem in plain words, let AI write and run the code, and verify the result without reading a line: spot code problems, write a five-section brief, force real computation, and run scripts safely.
Module 6Skills & Connectors
Teach AI a task once so it does it your way every time (a Skill), and give it safe, scoped access to your apps — files, email, spreadsheets (a Connector); build your own with zero code.
Module 7Driving General Agents
Tool fluency with Claude Code and OpenCode: tab strategy (Claude Code as Tab 1, OpenCode as Tab 2), model selection, sessions, slash commands, shareable sessions, MCP basics, file-system ops, and cost discipline as a habit.
Module 8Spec-Driven Development
Agree on the what before you generate the how — keep the spec as the source of truth and run the Constitution -> Research -> Specify -> Clarify -> Build loop across your tools.
Module 9Problem Solving with General Agents
Methodology, not features: problem decomposition, spec-first workflow, Test-Driven Generation, dual-tool composition, the 10-80-10 rule, and the PRIMM-AI+ meta-loop — when to stop prompting and start coding, and back.
Module 10OpenClaw with General Agents
Hands-on — use your coding agent to set up a Personal AI Employee: install OpenClaw, connect your phone, delegate real work, customize its identity, extend it with skills and tools, and schedule autonomous tasks.
Course Outcomes
Drive Claude Code and OpenCode fluently — tab strategy, model selection, sessions, slash commands, and MCP basics
Decompose real problems for agentic execution, and tell a code problem from a reasoning problem
Reason about token economics as a design constraint, not an afterthought — cost discipline as a habit
Write precise Markdown instructions and specs that general agents execute reliably
Commission and verify code you never write — brief it, force real computation, and prove it's right without reading it
Teach AI a task once and connect it safely to your apps with Skills and Connectors
Situate your work in the Agent Factory paradigm and stand up your first Personal AI Employee with OpenClaw
Prerequisites
There are no pre-requisites for this course.
