How the academy uses the tools
Codex is positioned as a primary coding-agent workflow for build, review, tests, docs, and multi-agent execution. OpenClaw is one applied lab surface, not the overall required headline.
Codex course
Learn Codex as a core build, review, and testing workflow.
Codex matters because it can help with real engineering work: code changes, reviews, tests, docs, and parallel agent tasks. This academy keeps that power grounded in a small service demo and a human-reviewed final project.
Implementation noteReview checklistTest logDocumentation noteProposal
Safety boundary
Students keep Codex work reviewable: test outputs, inspect diffs, avoid secrets, and never let a success page or tool claim stand in for actual access and safety checks.
Student artifacts
What students actually build.
A service artifact that names the workflow and output before any code is changed.
A Codex workflow note for docs, troubleshooting, review, testing, or future customization.
A test log that proves the demo handles normal and edge cases.
A proposal that describes the service, not a vague promise to use AI.
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.