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1. Scenario

An official YesDev pick for edtech companies and teams building AI-powered course products. It covers the full delivery chain — curriculum design, aligning AI models with teaching, teacher- and student-side development, integration testing, go-live and teaching feedback — with a multi-stage project skeleton, course requirement pool, R&D task system, iteration board, teaching-research knowledge base, issue tracking, discussion and reference links. Apply it to stand up a structured AI + education course R&D workspace.

Suitable for

Outsourcing, industry and AI-education startup teams building AI course productsR&D teams of any sizeTeaching-research leads / product leads

Solves

Teaching-research standards hard to unify: curriculum frameworks, AI answer guidelines and terminology libraries are scattered across documents and chatBreakpoints between course work and AI: teaching research, AI models, front-end/back-end and operations each run on their own scheduleInsufficient review records: AI-generated content and courseware reviews leave no audit trailNo learning-data feedback loop: after launch, learner behaviour, wrong-answer distribution and Q&A records are scatteredReuse across stages and subjects is hard: no framework models content by school stage and age, course type or delivery formatTeaching compliance and data security gaps: red lines such as learner data encryption and conversation retention have no project-level agreement

2. Demo Company

Demo company
Zhixue Edtech (a company building AI + education course products)
Demo project
2026 Q3 development and launch of the "AI Teaching Assistant course series v1.0"

Template screenshotsClick to enlarge

AI + Education Course Product Development Screenshots 1

3. Project Template

A structured project skeleton, ready to use out of the box: project overview, course documents, course requirements, R&D tasks, R&D issues, iteration board, teaching-research knowledge base, teaching-research discussion and reference links — covering the whole chain from curriculum design to launch and teaching feedback.

Project stages
  1. 1
    Curriculum design
  2. 2
    Aligning AI models with teaching
  3. 3
    Teacher- and student-side development
  4. 4
    Integration and testing
  5. 5
    Launch and teaching feedback

4. Custom Fields

FieldType
Course typeStatus
School stage and ageStatus
AI model foundationText
Data compliance requirementsText
Target learnersText
Course delivery formatText
Teaching-research review gateStatus
AI-generated content reviewStatus

5. Workflow Configuration

Status
Not started→In progress→Pending acceptance→Done→Delayed→Cancelled

6. Default Document Templates

Once the template is enabled, the following document structure is generated automatically (one-click creation will be available later).

  • AI teaching assistant course series syllabusCourse basics / course objectives / chapter outline / AI teaching-assistant touchpoints / teaching-research review gates / supporting material checklist
  • Teaching-research terminology librarySubject terms / AI answer terminology / pedagogy terminology / version change log
  • Course R&D monthly report templateWork summary for the month / key milestones / risks and blockers / next month's plan / metrics review
  • Learner data monthly report templateOverview data / learning behaviour distribution / wrong-answer distribution / feedback highlights / improvement items