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    Lesson 8 of 8

    Multimodal Prompting: Images, Audio & Video

    From the course Advanced Prompt Engineering: Master AI Communication

    Modern AI models can process text, images, audio, and video simultaneously. Mastering multimodal prompting unlocks powerful capabilities that text-only prompting can't match.

    Image + Text Prompting

    Most frontier models (GPT-5, Gemini, Claude) accept images alongside text:

    Analysis Prompts:

    [Upload image] "Analyze this UI screenshot. Identify: accessibility issues, visual hierarchy problems, and inconsistent spacing. Return findings in a table with severity ratings."

    [Upload chart] "Extract the data from this bar chart into a CSV format. Then identify the top 3 trends."

    Comparison Prompts:

    [Upload 2 images] "Compare these two product designs. Which is more likely to convert? Analyze layout, CTA placement, color psychology, and information hierarchy."

    Creative Prompts:

    [Upload image] "Describe this image in enough detail that a different AI model could recreate it. Include composition, colors, lighting, style, and mood."

    Image-to-Code:

    [Upload wireframe] "Convert this wireframe into a responsive React component using Tailwind CSS. Match the layout, spacing, and element hierarchy exactly."

    Audio Prompting

    With models like Gemini that accept audio:

    [Upload audio clip] "Transcribe this audio, then: 1) Summarize the key points, 2) List action items, 3) Identify the speaker's tone and sentiment."

    [Upload song] "Analyze this song's structure (verse, chorus, bridge), key, tempo, instrumentation, and lyrical themes."

    Video Prompting

    Gemini can process entire videos:

    [Upload video] "Watch this product demo video and create: 1) A 30-second script summarizing the key features, 2) Timestamps for each feature shown, 3) Three social media posts promoting it."

    [Upload tutorial video] "Create a step-by-step written tutorial from this video. Include screenshots descriptions at key moments."

    Cross-Modal Workflows

    The real power is combining modalities:

    1. Image → Text → Image: Upload a sketch → get a detailed description → use the description to generate a polished image in Midjourney
    2. Audio → Text → Action: Transcribe a meeting → extract action items → create Jira tickets
    3. Video → Text → Content: Analyze a competitor's video → generate a comparison blog post
    4. Document Image → Structured Data: Upload a form/receipt → extract data into JSON

    Prompting Tips for Multimodal

    • Reference the image/audio/video explicitly: "In the uploaded image..."
    • Be specific about what to focus on: "Focus on the navigation bar in this screenshot"
    • Combine modalities: "Compare the audio tone with the visual mood of this video"
    • Use images as examples: upload an example of your desired output format
    • For multiple images, label them: "Image 1 is the current design. Image 2 is the proposed redesign."

    Key Takeaways

    • •Multimodal prompting combines text with images, audio, and video for richer analysis
    • •Image-to-code prompting converts wireframes and screenshots into working components
    • •Cross-modal workflows chain different modalities for powerful automated pipelines
    • •Always reference uploaded media explicitly and specify what to focus on
    • •Label multiple images and provide clear instructions for comparison tasks
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