# Agentic Course Redesign (ChatGPT Plugin)

> Gated evidence-led redesign

- Type: plugin
- Publisher: GIAN PETER OCHSNER
- Categories: Education
- Website: https://chatgpt.com/plugins/plugins_6a88cdd968088191b7a22c9e92cbb5ba
- Open in ChatGPT: https://chatgpt.com/plugins/plugins_6a88cdd968088191b7a22c9e92cbb5ba
- Version: 0.2.5
- Listed: 2026-10-15

## About

◆ LECTURER / TEACHER CONTROL • You retain every consequential decision. The Course Redesign Orchestrator is the sole lecturer-facing interface.
◆ SPECIALIST TEAM (10) • Course Mapper and Learning-Outcomes Auditor; Active-Learning Researcher; AI Integration and AI-Competence Researcher; Student Experience, Accessibility and Workload Proxy Critic; Assessment and Constructive-Alignment Designer. • Source Verification and Citation Auditor; Evidence and Feasibility Red Team; Learning Designer; Learning Material Designer; Artefact Accessibility and Visual QA Auditor. The student-experience role is a design-review proxy and never authorises identifiable student data.
◆ GATED WORKFLOW • Gate 0A: verify ownership/processing authority, sensitivity, student data, protected assessment and environment before any source path or content. • Gate 0: confirm sources, rights, tools and egress. Gate 1: confirm the course brief and a fresh run. • HITL 1: approve focus after preliminary mapping. Research, source verification, cross-specialist synthesis, assessment integration and red-team review lead to HITL 2. • Gate 3: approve the integrated blueprint and file plan. Material production creates only approved working copies, followed by evidence, accessibility, visual, alignment and assessment-security QA. • Verify production handoff before HITL 3; accept, revise or reject each artefact. • Request or decline final system review; the accepted run becomes complete and dormant until a later manual or separately approved scheduled trigger creates a fresh run.
◆ DECISION DIALOGUE • One unresolved question at a time. • Use a card only if the live host can show the complete option set plus custom answer. Verified current Codex in Plan mode: 2–3 explicit choices plus automatic Other. • If capacity is unknown, unavailable or exceeded, use ordinary chat with every valid numbered option plus Other, then wait. Never prune, hide or combine valid options to fit a card. • Long sets may use dependency-based chunks with every option visible; the lecturer may split, merge, reorder or rename them. • Preserve custom answers verbatim, show editable recaps, never preselect recommendations and fail closed on uncertainty.
◆ BOUNDARY • The plugin does not register schedules, start runs, publish content, add connectors or change permissions.

## Install

1. **Add it in ChatGPT** Open Plugins in the ChatGPT sidebar (web or desktop), search for “Agentic Course Redesign” and select +. You'll be asked to sign in to any connected service on first use. Then type @ in a chat to call it.

## Skills

- **Course Redesign Assessment**: Align outcomes, evidence, rubrics, and grading.
- **Course Redesign Materials**: Produce and validate accessible course files.
- **Agentic Course Redesign**: Run the complete gated redesign workflow.
- **Course Redesign Research**: Verify claims, sources, texts, and evidence.
- **Course Redesign Setup**: Create one protected local course project.
- **Course Redesign System**: Validate and govern the reusable runtime.

## Example prompts

- "Guide me through processing eligibility one question at a time, then set up one protected course."
- "Audit an eligible, approved course for evidence-based redesign priorities."
- "Continue the active course-redesign run at its next approved gate."

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