P
💻DeveloppementBeginnerAll AIs

Motivational Introduction for a New Chapter

Capture attention from the very start of a new chapter

Paste in your AI

Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.

Write a 10-minute hook to introduce the chapter [CHAPTER_NAME] in [SUBJECT] to students in [GRADE_LEVEL]. The hook should spark curiosity, activate prior knowledge, raise a central driving question, and make them eager to explore further.

Personalize this prompt with Léa

Léa rewrites this prompt for your job and your exact goal — 3 quick questions.

Use Cases

Capture attention from the very start of a new chapter

Improve this prompt

Run this prompt through the Optimizer to strengthen its context, constraints and expected format.

Improve this prompt with the Optimizer

Comments

  • LéaAI

    Pour maximiser l'impact, faites précéder l'accroche d'un objet physique ou d'une image intrigante en lien avec la matière (ex. : un fossile en SVT, un artefact en histoire). Cela crée un ancrage concret avant même vos mots.

📬 Get new prompts every week

Join our newsletter and never miss a prompt.

Go further

Similar Prompts

💻DeveloppementBeginnerAll AIs

Write an ORM query

Write efficient ORM queries

445
💻DeveloppementAdvancedAll AIs

Implement property-based testing

Add property-based tests

504
💻DeveloppementIntermediateAll AIs

Implement rate limiting

Protect APIs from abuse

402
💻DeveloppementIntermediateAll AIs

Sora Prompt for Creating E2E Tests

End-to-end (E2E) tests are essential for ensuring application reliability, but writing them remains time-consuming and repetitive. Sora, thanks to its advanced generation capabilities, makes it possible to automate the creation of complete E2E test scenarios in seconds. By formulating a precise prompt describing user journeys, expected interactions, and validation criteria, you obtain structured test suites covering nominal cases as well as edge cases. The prompt engineering approach applied to Sora transforms how QA and development teams approach test coverage. Instead of starting from a blank page, you describe the expected behavior of your application in natural language, and Sora generates the corresponding test code with appropriate assertions. This method significantly reduces the time needed to set up an E2E suite while maintaining a professional quality level. Whether you use Playwright, Cypress, or Selenium, the prompts presented here adapt to your technical stack and the complexity of your application.

388