Prompt Engineering Essentials · v0.5

Prompt across everyday formats

Module 7 of Prompt Engineering Essentials: prompt across everyday formats.

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Eight modules, final knowledge check, and capstone.

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MODULE 7 | 40 minutes | FAST TRACK CORE + GO DEEPER

Prompt across everyday formats

Core idea: patterns are starting points, not spells

A reusable prompt pattern saves time when the purpose and risk are understood. Customize the task, evidence, boundaries, and quality check. Do not paste a template blindly into a different context.

Pattern 1 - Explain and teach

LEARNING PROMPT

Pattern 2 - Summarize supplied material

SUMMARY PROMPT

Pattern 3 - Compare options

COMPARISON PROMPT

Pattern 4 - Draft a message

MESSAGE PROMPT

Pattern 5 - Analyze a document or screenshot

MULTIMODAL PROMPT

Pattern 6 - Research current information

CURRENT RESEARCH PROMPT

Image generation

For image generation, describe the purpose before the style. Include the subject, composition, audience, visual hierarchy, brand direction, safe crop area, required and prohibited elements, and what must remain as live text outside the image. Iterate on one visible issue at a time.

IMAGE PROMPT STRUCTURE

Voice and audio

When working from speech or audio, verify names, dates, numbers, speakers, and specialized terms. Ask the model to mark uncertain transcription rather than silently guessing. Do not record or upload people without appropriate permission.

Make outputs easier to use

  • Ask for plain language, short sentences, headings, definitions, or step-by-step instructions when they improve comprehension.

  • Keep essential wording as selectable text rather than placing it only inside an image, audio clip, or decorative layout.

  • Request descriptions for meaningful images and transcripts or summaries for important audio and video.

  • Ask for a culturally neutral example or a locally relevant alternative when an idiom, reference, or assumption may exclude learners.

Try it: practice the skill

What to do

  1. Choose the task suggested for this module, or use another simple, low-risk task.
  2. Open ChatGPT or another AI assistant in a separate tab or window.
  3. Enter your prompt and send it. Do not include private or sensitive information.
  4. Read the AI answer.
  5. For this module, try the appropriate pattern with text, a document, or an image you are allowed to use. Check names, numbers, and small text.
  6. Return to this course and complete the short notes below.
    If you cannot use an AI assistant now, read the worked example and write what you would try later.
Path Your task
Everyday life Use the comparison or current-research pattern on a low-stakes choice.
Learning Use the explain-and-teach pattern, answer the questions, and review the feedback.
Work Use the source-summary or message pattern with fictional or authorized content.

Module 7 test - check before you continue

Answer Questions 1–3 by choosing A, B, or C. For Question 4, write a short response. After you finish all four, use the answer key at the end of the course to check your work.

Your response stays in this page and is not saved or sent to RayAI.

1. What makes a multimodal prompt stronger?
Review after attempting

Best answer: B. Strong multimodal prompts name the evidence to inspect, task, boundary, output, and verification needs.

2. Why should important hero or document wording usually remain outside an AI-generated image?
Review after attempting

Best answer: A. Keeping meaningful wording as live text supports accessibility, editing, localization, search, responsive design, and correction of generated text errors.

3. What should a source-grounded summary do when information is missing?
Review after attempting

Best answer: B. A grounded summary should expose gaps rather than hide them or fill them with unsupported content.

4. Write a multimodal prompt for a document, screenshot, or image you are permitted to use. Include one verification instruction.

Review after attempting

Your answer should your prompt names the authorized item, inspection focus, task, inference boundary, output, and at least one verification such as rechecking numbers or marking unreadable text.

Finish this module

Mark this module complete when you have attempted every activity you intend to complete and reviewed your work against the v0.5 guidance.