This week’s update focuses on one thing: making course creation smoother for creators and making learning more immersive for students.
If you’re already using AI-Shifu—whether you build courses or take them—this post highlights the updates that directly affect your workflow.
This Week at a Glance
1. Multi-editor course collaboration is now live.
2. “Learn AI with AI” course content has been upgraded.
1) Course Creation Updates: Collaboration Speed Keeps Improving
The most important release this week is **multi-editor course collaboration**.
You can now:
– Add other users as course editors.
– Get edit reminders/protection when multiple people modify the same section, reducing accidental overwrite.
The practical value for creator teams is simple: a course no longer has to be pushed by one person. Teams can split chapters and work in parallel, significantly increasing delivery speed.
At the same time, course archiving flow has also been optimized, making backend management smoother.
2) Open-Source Deployment Update: More Flexible Login Configuration
For self-hosted teams, this week adds **password-login configuration** for both phone login and email login paths.
If you lead engineering or operations, this update helps align account workflows with your existing security policies.
3) Content Upgrade: “Learn AI with AI” Has Been Updated
The “Learn AI with AI” curriculum received another upgrade:
– Added OpenClaw mechanism explanations.
– Reorganized course structure for more progressive learning.
– Added real-time generated diagrams to lower comprehension barriers.
– Added hands-on micro-experiments to reinforce “learn by doing.”
4) Creator Tooling Add-On: Turn Existing Materials into Teaching Prompts (MDF Skills Suite)
If you already have transcripts, course docs, or legacy materials, AI Shifu’s **mdf-skills-suite** can convert them into runnable teaching prompts.
Project repo: https://github.com/ai-shifu/mdf-skills-suite
You can run the full pipeline with **Codex, Claude Code, or OpenClaw**.
Current recommendation: generate first, then paste into the AI Shifu editor backend for publishing.
AI Shifu’s latest update launches multi-editor course collaboration, improves Listen Mode clarity and voice continuity, expands login flexibility for self-hosted deployments, and upgrades the “Learn AI with AI” curriculum. It also highlights MDF Skills Suite for converting transcripts and course documents into runnable MarkdownFlow teaching prompts.
FAQ
Who benefits most from this update?
Creator teams, course operators, and learners using AI Shifu for AI-enabled course delivery.
What is the biggest practical change?
Multi-editor collaboration: teams can now build courses in parallel with section-level overwrite protection.
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