Justin Donlon

full circle
learning design

Full stack, AI-driven learning ecosystems

← 02 The Studio & cmi5

Quality checks

AI output is never published unchecked. Every course passes three gates before learners see it, and every correction is recorded so the rules improve.

  • Automated checks on structure, tracking and the language the course is allowed to use.
  • An AI reviewer that judges each course against its own blueprint: its outcome, its level and its limits.
  • A person signs it off. Errors, bias and inconsistencies are caught here, not by learners.
  • Behind the checks: a written style guide for the AI for every element, so each generated exercise follows the same rules.

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