How the academy uses the tools
Claude Code and Codex are the main build/review workflows for implementation, troubleshooting, and documentation. OpenClaw is the applied demo environment when a lesson needs visible automation proof.
AI agents course
A beginner-safe AI agents course for client-ready workflow demos.
Instead of teaching agents as abstract architecture, this path teaches the operating layer: what to automate, what to avoid, how to test the agent output, and how to explain the service without hype.
Workflow pain finderDemo outputReview boundaryProposalHandoff note
Safety boundary
The course avoids regulated, sensitive, and irreversible first projects. Students start with fake or anonymized data and a human-in-the-loop review point.
Student artifacts
What students actually build.
A workflow pain finder for selecting a realistic first agent use case.
A lead follow-up, inbox triage, support FAQ, or report assistant demo shape.
A review boundary that explains where a human checks the agent output.
A proposal and handoff note that are honest about scope and limits.
Source-informed, not affiliated · non-affiliation note
Official product language shapes the course positioning.
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.