Skip to main content

​
Personnel qualifications

Adopted: March 2026 Responsible party: AgenticAdvertising.org program leadership

​
Purpose

This policy establishes qualification standards for everyone involved in designing, reviewing, and delivering the AdCP certification program.

​
Curriculum design

Module lesson plans, assessment criteria, and scoring rubrics are designed by subject matter experts with demonstrated expertise in advertising technology and/or the AdCP protocol. Expertise is established through direct involvement in protocol development, industry experience, or both.

​
Content review

Curriculum changes are reviewed through the standard code review process (pull requests) before deployment. Protocol accuracy is validated against the AdCP specification. Changes that do not meet review standards are not deployed.

​
AI teaching assistant

Addie is powered by Claude (Anthropic). Teaching behavior is governed by operational rules documented in the instructional design framework, covering:
  • Socratic methodology and turn structure
  • Assessment fairness and scoring calibration
  • Learner data handling and privacy
  • When and how to use tools for demos and exercises
Addie cannot award credentials without meeting server-side validation requirements: minimum engagement time, minimum conversational turns, checkpoint requirements, and score consistency checks. These are enforced by the application, not by AI judgment alone.

​
Ongoing qualification

Curriculum contributors stay current through participation in the AdCP working group, protocol development, and quarterly curriculum reviews.

​
Non-compliance

Teaching behavior changes require a CODE_VERSION bump to enable performance comparison. Curriculum changes that bypass the review process are reverted.