TeacHER Explains: How to use AI video tools safely
Learn safe beginner habits for AI video tools: privacy, likeness rights, realistic claims, source assets, and review before publishing.
TeacHER Explains: How to keep AI visuals consistent
A beginner lesson on using references, style rules, palettes, aspect ratios, and iteration notes to make AI visuals feel like…
TeacHER Explains: How to write a good AI image prompt
Learn a simple prompt formula for AI images: subject, context, style, composition, lighting, and what to avoid.
TeacHER Explains: What is generative AI for images and video?
A beginner-friendly explanation of how AI image and video tools turn prompts, references, and editing choices into visual content.
TeacHER Explains: How to try open source AI safely
A simple safety-first workflow for testing open source AI tools without risking private files, tokens, or your main computer setup.
TeacHER Explains: How to judge an AI GitHub project
Learn beginner-friendly signals for judging AI projects on GitHub before installing, trusting, or sharing them.
TeacHER Explains: What are AI model licenses?
A practical beginner lesson on AI model licenses, what they allow, and why “free to download” is not the same…
TeacHER Explains: What is Hugging Face?
Learn what Hugging Face is, why people use it for AI models and datasets, and how beginners can explore it…
TeacHER Explains: What is open source AI?
A beginner-friendly explanation of open source AI, open models, public code, and why openness matters for learning and trust.
TeacHER Explains: How to build a simple creator workflow with AI
A beginner workflow for moving from idea to published content with AI support, human review, and repeatable checkpoints.