How the academy uses the tools
Students choose Codex, Claude Code, or another compatible coding agent and keep using that one tool. OpenClaw is an optional lab surface for selected automation demos and proof artifacts.
Agentic AI course
This track frames agentic AI as a service skill: choose one repeated workflow, shape the assistant output, keep human approval visible, test the edge cases, and package a small offer a business owner can understand.
Students choose Codex, Claude Code, or another compatible coding agent and keep using that one tool. OpenClaw is an optional lab surface for selected automation demos and proof artifacts.
No autonomous customer-facing action is treated as launch-ready without sample-data testing, a human approval boundary, and clear client limitations.
Student artifacts
A service map that names the business type, workflow pain, assistant output, and approval point.
A demo summary with sample data, output notes, and visible limitations.
A testing checklist for normal, missing-detail, risky, and not-a-fit cases.
A final project package that can be reviewed before any client promise is made.
Practical guides
These guides turn the category into one narrow offer, a fake-data demonstration, and prompts you can use with your coding agents.
Use an AI agent where judgment helps, keep predictable rules deterministic, and package one useful workflow a buyer can review.
Read guideChoose a small workflow a real buyer can inspect before you spend days building anything.
Read guideStart with outputs people review, not autonomous actions that can create expensive mistakes.
Read guideSource-informed, not affiliated · non-affiliation note
These links are used for positioning and screenshot/source planning. The academy is independent educational training and is not officially affiliated with OpenAI, Anthropic, or OpenClaw.