GPT Tasks/Design an Online Course and Launch Plan
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Design an Online Course and Launch Plan

Turn subject expertise, learner needs, source material, delivery constraints, and launch assumptions into a structured course curriculum, production plan, and launch sequence.

Context → structured prompt → explicit AI handoff

Runs in this browser. No upload by this page. External AI handoff is explicit. Review before sharing.

Prompt workbenchConfigure → review → use
01

Configure task

Setup
Describe the subject, transformation or practical result the course should help learners achieve.
Describe the intended learners, what they already know, and the specific outcomes they should be able to demonstrate.
Prompt style
Additional options
Add verified expertise, notes, references, available assets, delivery constraints, timing, platform assumptions, or launch limits.

What you’ll need

  • Course topic, learner goal, and source expertise or notes you can support
  • Course topic and goal
  • Learner context and outcomes

What you’ll get

  • Course promise and learner profile
  • Learning outcomes
  • Module and lesson map
  • Lesson pattern and engagement ideas
  • Assessment or practice plan
02

Prompt preview

Editable

Review or edit the generated prompt before you copy it or explicitly open an AI chat.

Export

ChatGPT opens with the current prompt prepared. Gemini copies the current prompt, then opens Gemini so you can paste it. Keep secrets and sensitive information out of URL-carried prompts.

Task referenceExamples, expected output, boundaries, and routing.

Examples

1. Freelance analytics instructor

Context: A consultant has verified workshop material on spreadsheet analysis and wants a self-paced course for beginners.

Goal: Turn existing expertise into a balanced course and 90-day launch plan.

Useful output: Learner outcomes, module map, practice sequence, production checklist, launch assumptions, and first actions.

2. Internal team training

Context: An operations lead has documented SOPs and wants a cohort-style onboarding course for new coordinators.

Goal: Create a course structure without claiming accreditation or unsupported outcomes.

Useful output: Course promise, curriculum sequence, practice tasks, delivery plan, gaps, and rollout steps.

3. Creator mini-course

Context: A photographer has verified lessons and examples for a short lighting course and wants a 30-day launch plan.

Goal: Bound scope so the course can be produced quickly.

Useful output: Mini-course outline, lesson pattern, asset list, launch sequence, and assumptions.

Expected output

  • Course promise and learner profile
  • Learning outcomes
  • Module and lesson map
  • Lesson pattern and engagement ideas
  • Assessment or practice plan
  • Production requirements
  • Launch sequence
  • Assumptions and evidence gaps
  • Priority next actions

Truth boundary

Use only user-provided subject expertise, references and launch assumptions. Do not invent credentials, accreditation, enrollment results, platform capabilities, prices, or legal/compliance claims.

Overlap guard: Owns curriculum architecture, learner outcomes, lesson structure, course production, and course-launch planning. Use the study-guide task for learner review material, the project-plan task for generic execution planning, and the video task for an educational video deliverable.

Privacy and handoff

Runs in this browser. No upload by this page. Copy/download locally or explicitly open ChatGPT or Gemini. Source files are attached in the chosen AI service, not uploaded by Mycelgrid. Review the generated prompt and AI output before using or sharing it.