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30 Gemini 3.0 Workflows That Feel Illegal to Know: The WCB Guide

Author: Carl Heaton
Carl is a consultant and design leader from Manchester, UK, with extensive experience in digital design, UX/UI, and online business. He brings practical, real-world insight shaped by years of leading design, product, and digital work. Learn more at carlheaton.work.
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30 Gemini 3.0 Workflows That Feel Illegal to Know: The WCB Guide

Most tutorials stay at the surface (Depth 2/10). At Web Courses Bangkok, we build careers. Below is the Depth 6/10 guide: specific prompts, technical context, and actionable workflows for every single feature.


⚡ Part 1: The “Lazy Genius” Speed Hacks

1. YouTube Analysis: The “2-Hour Tutorial” Killer

Gemini doesn’t just “summarize” videos; it processes the visual and audio tokens to find specific technical moments that standard transcripts miss.

The Workflow: Paste a URL for a 2-hour coding bootcamp video.
The Prompt:

“Identify the exact timestamp where the instructor explains ‘React useEffect dependency arrays’. Extract the code example they use on screen and refactor it to be cleaner.”

2. Storybook Gem: Kill “Lorem Ipsum” Forever

Generic data creates generic designs. The “Storybook” workflow uses AI to hallucinate realistic user lives based on your target demographics, giving you empathy-driven content for Figma wireframes.

The Workflow: Feed it your raw user persona data (Age, Location, Pain Points).
The Prompt:

“Write a 500-word ‘Day in the Life’ narrative for this persona. Focus on their frustrations with mobile banking apps. I need realistic data points (fake account balances, transaction history) to use in my UI design.”

3. The “DRY” Coding Partner

Don’t Repeat Yourself (DRY) applies to prompts too. Instead of starting every chat with context, use System Instructions to bake your preferences into the model permanently.

The Workflow: Go to settings/Gems and create “Senior Python Dev.”
System Instruction:

“You are an expert Python Backend Developer. Always use Type Hinting. Prefer Pydantic for data validation. Never explain basic concepts; assume I know them. Only explain complex architectural decisions.”

4. The Socratic Tutor (No Cheating Allowed)

Great for our bootcamp students. This forces the model to act as a pedagogical tool rather than a solution engine, using “Chain of Thought” reasoning to guide you.

The Prompt:

“I am learning CSS Grid. I will ask you how to build layouts. Do NOT give me the code. Instead, ask me guiding questions about parent/child relationships and properties to help me figure it out myself.”

5. The “Brand Police” Editor

LLMs usually sound like robots. To fix this, you must provide “Few-Shot Examples”—giving the AI examples of good vs. bad writing from your specific brand history.

The Workflow: Upload a PDF of your company’s “Tone of Voice” guidelines.
The Prompt:

“Review this draft blog post against the uploaded guidelines. We prioritize active voice and avoid corporate jargon like ‘synergy’. Rewrite only the paragraphs that violate these rules.”

6. Project Manager: Chaos to Kanban

Gemini excels at Entity Extraction—identifying tasks, dates, and names buried in unstructured text blocks like email chains.

The Workflow: Paste a messy 50-email thread about a project launch.
The Prompt:

“Extract every action item from this text. Format as a CSV with columns: Task Name, Assignee, Priority (High/Med/Low), and Estimated Hours. Group by ‘Marketing’ vs ‘Dev’ teams.”

7. Inbox Zero on Autopilot

This requires the Google Workspace Extension. It allows the model to access your real-time data securely without training on it.

The Workflow: Enable the Workspace extension.
The Prompt:

“Check my unread emails from the last 24 hours. Summarize only the ones from the domain ‘@webcoursesbangkok.com’. If they ask for a file, draft a reply attaching the link to our shared Drive folder.”

8. Multimodal “Napkin to Masterpiece”

Gemini 3.0 supports interleaved prompting. This means you can stack inputs: Image A (Sketch) + Image B (Texture) + Text (Command) = Result.

The Workflow: Upload a photo of a rough UI sketch. Upload a screenshot of a “Cyberpunk” style game.
The Prompt:

“Generate a high-fidelity UI mockup based on the layout of the first image, but apply the neon color palette and texture style of the second image.”

🕵️ Part 2: Deep Work & Research

9. The Deep Research Agent

Standard AI guesses; the Deep Research Agent browses. It executes a multi-step loop: Search -> Read -> Verify -> Refine Search -> Compile. It’s equivalent to 2 hours of human manual research.

The Workflow: Enable Deep Research mode.
The Prompt:

“Investigate the Digital Nomad visa requirements for Thailand, Vietnam, and Indonesia. Create a comparison matrix covering: Income requirements, Tax implications, and Length of stay. Cite official government sources only.”

10. CSV to Dashboard in One Prompt

Gemini runs a sandboxed Python environment in the background. It loads your CSV into a Pandas dataframe and uses Matplotlib to render visuals.

The Workflow: Drag and drop your `sales_data.csv`.
The Prompt:

“Clean this data by removing rows with null values in the ‘Price’ column. Then, plot a line chart showing daily revenue trends over the last quarter. Color code by ‘Product Category’.”

11. Meeting Notes That Actually Make Sense

Don’t just ask for a summary. Ask for structured data. Gemini allows for specific formatting outputs that map directly to project management tools.

The Prompt:

“Based on this transcript, identify all promises made by the agency. Output a JSON object where keys are ‘Client Name’ and values are arrays of ‘Deliverables’.”

12. The 2-Million Token “Brain Expansion”

Context window = Working Memory. 2 Million tokens is roughly 1.5 million words. This allows “In-Context Learning” where the model understands your whole project structure without fine-tuning.

The Workflow: Upload your entire `src` folder (React/Python).
The Prompt:

“Trace the data flow for the ‘UserLogin’ event across all these files. Identify where the authentication token is being dropped before it hits the API endpoint.”

13. Recurring “Spy” Missions

This uses the Scheduled Prompts feature (available in select enterprise/pro versions or via API scripting). It turns a one-off prompt into a cron job.

The Workflow: Set a recurring trigger.
The Prompt:

“Visit [Competitor URL] every Monday. Compare the H1 headers and Pricing Card text against last week’s version. If changes are detected, generate a summary table of the differences.”

🛠️ Part 3: The Developer’s Toolbox (AI Studio)

14. GitHub Integration: The Friendly PR Reviewer

By connecting to the repo, Gemini reads the diffs. It understands what changed and why, allowing for security-focused reviews.

The Workflow: Connect GitHub extension.
The Prompt:

“Review the latest PR on the ‘feature/login’ branch. specifically look for SQL injection vulnerabilities or hard-coded API keys. Suggest specific code fixes.”

15. Studio-Quality Voiceovers (Direction Control)

AI Audio isn’t just text-to-speech anymore. You can control prosody (rhythm) and intonation using natural language direction.

The Workflow: Open AI Studio Audio tool.
The Prompt:

“Speaker Voice: Deep, Male, American Accent.
Direction: Read this script slowly and with gravitas, creating pauses for emphasis after every comma. Sound like a documentary narrator.”

16. The “Fake Podcast” Generator

Multi-turn audio generation allows you to assign distinct “System Personas” to different voices, creating dynamic banter rather than a monologue.

The Prompt:

“Generate a 2-minute conversation. Speaker A is a skeptical customer asking about product safety. Speaker B is a reassuring engineer explaining the specs. Make them interrupt each other naturally.”

17. Reverse-Engineer Art Styles

This utilizes Interrogation (Image-to-Text). The model breaks down an image into its semantic components (lighting, medium, artist style) so you can replicate it.

The Prompt:

“Analyze this image. Break down the lighting setup, the camera lens type (e.g., 35mm, f/1.8), the color grading, and the artistic medium. Provide a prompt that would generate a similar image of a Cat instead of a Dog.”

18. Veo 2: Make Static Photos Move

Veo 2 doesn’t just warp pixels; it understands 3D space. You can prompt for camera movement (pans, zooms) within a static 2D image.

The Prompt:

“Animate this product photo. Keep the bottle perfectly still. Make the background water ripple gently. Add a slow ‘dolly zoom’ effect pulling the camera backward.”

19. The 1-Click SEO Auditor

Using Agentic workflows in AI Studio, you can script a loop: Visit URL -> Extract Data -> Validate -> Repeat.

The Workflow: Script an iteration over your sitemap.
The Prompt:

“For every URL in this list: Check if the Meta Description is between 140-160 characters. Check if the H1 tag contains the keyword ‘Bangkok’. Output a report of failures.”

🚀 Part 4: “God Mode” Automation

20. Raw Notes → HTML Newsletter

This leverages Gemini’s ability to write valid HTML/CSS. It moves beyond text generation into code generation for content delivery.

The Prompt:

“Take these bullet points. Write a responsive HTML email template. Use inline CSS for styling (blue headers, gray text). Place the content into the template. Ensure it renders correctly on Mobile.”

21. The “Writer’s Block” Presentation Cure

Combines research + structural formatting. It solves the “Blank Page Problem” by providing a comprehensive scaffolding.

The Prompt:

“Outline a 10-slide pitch deck for a new coffee app. For each slide, provide: 1. The Header, 2. Three bullet points of copy, 3. A detailed prompt I can use in Midjourney to generate the background image.”

22. A/B Testing on Steroids

Use the Temperature setting (creativity) to generate variance. High temperature = wilder ideas. Low temperature = safe ideas.

The Workflow: Set Temperature to 0.9 (High Creativity).
The Prompt:

“Generate 50 Facebook Ad headlines for this product. Use 5 different psychological angles: Fear of Missing Out, greed, curiosity, social proof, and exclusivity.”

23. The Decision Matrix Generator

Gemini creates structured markdown tables that can be pasted directly into Excel or Notion.

The Prompt:

“Compare React vs. Vue.js. Create a table with columns: Learning Curve, Performance, Ecosystem Size, and ‘Best For…’. Rate each category out of 10.”

24. The “Fake News” Detective

This uses Grounding with Google Search. It visualizes the image data and cross-references it with live internet data.

The Prompt:

“Analyze this chart showing ‘Global Warming Trends’. Search the web for the original source of this data (e.g., NASA, NOAA). Does the chart accurately represent the source data, or has the Y-axis been manipulated?”

25. “Where is that file?” (Semantic Search)

Semantic search matches meaning, not keywords. “Invoice” matches “Bill”, “Receipt”, and “Payment Request”.

The Prompt:

“Find a document in my Drive from last year. It was a PDF about ‘renovating the office’, but I don’t remember the filename. It might mention ‘paint’ or ‘contractor’.”

26. Live Coding “Backseat Driver”

Using the Multimodal Live API, Gemini processes your screen at 1-2 frames per second with low latency to provide audio feedback.

The Workflow: Share specific App Window (VS Code).
The Prompt:

“Watch me code. If I make a syntax error or a logic mistake, interrupt me verbally and tell me how to fix it immediately. Don’t wait for me to run the code.”

27. One-Click Export

This is a UI feature integration. Gemini structures data specifically to be parsed by Google Sheets API.

The Tip: When you generate a table, look for the “Export to Sheets” icon at the bottom of the response. It saves you from formatting hell.

28. The “Taste Test” (Model Comparison)

In AI Studio, you can run Parallel Prompts. This sends the same token request to Gemini 1.5 Flash, Gemini 1.5 Pro, and Gemini 3.0 simultaneously.

The Workflow: Select “Compare Mode” in AI Studio.
Use Case: Test which model is better at writing Python code vs. writing creative poetry.

29. Direct the Director (Audio Emotion)

Audio models have latent space for emotion. You can trigger these vectors with descriptive adjectives.

The Prompt:

“Read this apology letter.
Tone: Regretful, hesitant, slightly shaky voice.
Pacing: Slow, with long pauses between sentences.”

30. The Ultimate Workflow Chain

This is the holy grail: Chaining. The output of Prompt A becomes the input of Prompt B automatically.

The Workflow: Build a script in AI Studio.
The Chain:
1. Search(“Tech News Today”) ->
2. Summarize(Result) ->
3. GenerateAudioScript(Summary) ->
4. GenerateAudioFile(Script) ->
5. SaveToDrive(AudioFile)

🎓 Ready to Build?

Knowing the hack is step one. Doing the work is step two.

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