AI video tools respond to the vocabulary of cinematography. A guide to dolly, drone, lens, tracking and time-based terms that give you control over motion in generated clips.
Instead of writing long prompts, show the model an example of the result you want and ask it to work out the instructions. A practical guide to example-driven prompting.
Structured prompts, one model learned deeply, rich context and routine verification: seven practical rules for getting better results from ChatGPT, Gemini or Claude.
From camera angles and lighting cues to seeds, negative prompts and separate audio, these techniques help creators get more natural output from tools like Runway and Pika.
Wide shots, close-ups, low angles and over-the-shoulder framing carry meaning. Knowing that vocabulary is what turns a vague AI video prompt into a directed scene.
Routine roles are exposed, but AI is also creating new occupations and letting individuals do the work of teams. The World Economic Forum expects net job growth by 2030.
Google's prompt engineering whitepaper, written by Lee Boonstra and hosted on Kaggle, lays out zero-shot, few-shot, chain-of-thought and ReAct prompting along with practical rules for getting better answers from large language models.
