AI Tools
No prerequisite jargon. Follow the lesson numbers and add one new idea at a time.
How does AI generate images? Think of shaping a noisy canvas into a picture
AI image generation is not simply image search. Lesson 013 explains diffusion-style generation, prompts and randomness with an intuitive noisy-canvas analogy.
How to write AI image prompts: describe subject, scene, composition, light and style
Better image prompts are specifications, not magic spells. Lesson 014 gives a reusable structure for subject, environment, composition, lighting and visual style.
How do you keep AI images consistent? A character needs references, not just a name
Generating one good character is easy; keeping the same identity across scenes is harder. Lesson 015 explains references, fixed traits, seeds and iteration.
How does AI generate video? It has to keep a moving world consistent across time
Video generation is more than making many pretty images. Lesson 016 explains temporal consistency, motion, camera movement and why video is harder than a single frame.
How to write AI video prompts: separate subject motion, camera motion, scene and timing
Video prompts need more than a pretty scene. Lesson 017 shows how to describe subject motion, camera movement, environment, timing and shot boundaries clearly.
How should you generate AI video in 2026? Start with text, an image, references or existing video
AI video is no longer one prompt box. Learn when to use text-to-video, image-to-video, references, first/last frames and video-to-video before choosing a model.
Why does the same person keep changing in AI video? Character consistency needs more than a prompt
Face drift, wardrobe changes and inconsistent hair are common in multi-shot AI video. Learn how references, character masters and continuity sheets make identity more stable.
How do you control an AI video camera? Shots, subject motion and keyframes matter more than style words
Cinematic AI video needs more than cinematic adjectives. Learn to separate shot size, subject motion, camera motion, keyframes and duration so a clip has a clear visual plan.
AI video can generate sound now—but native audio, lip sync, TTS and sound effects are different jobs
Some video models can generate image and sound together. Learn the difference between native audio, text-to-speech, lip sync and sound effects so each layer stays controllable.
What are AI avatars and digital humans? A reference image can borrow a performance, voice and expression
AI avatars go beyond moving lips on a photo. Learn how driving performances, character references, gestures and lip sync can be combined to animate a digital character.
A practical AI video workflow: script → storyboard → references → shots → editing, not one giant prompt
Turning a good AI-video demo into a finished piece usually requires a production pipeline: script, storyboard, references, keyframes, shot generation, editing and audio.
How is AI search different from Google-style search? An answer engine reads results before you do
AI search can retrieve web sources, synthesize them and answer directly. Learn the difference between search engines, web-search tools, grounding and citations—and when to verify the source.
What is Deep Research? It is a multi-step evidence workflow, not simply making an AI think longer
Deep Research combines planning, repeated search, source reading, gap finding and synthesis into one workflow. Learn when a problem deserves research rather than a normal chat answer.