Steal My Top 5 Nano Banana Pro Prompts: AI Update #5

It has been the wildest last 2 weeks in AI - let me catch you up on everything you need to know and nothing more

Welcome back to the AI Update.

Hope you had a wonderful Thanksgiving.

The last two weeks have been absolutely insane for AI.

We’ve seen 4 separate companies release models that take the spot of “best model on planet earth.”

What does this all mean? I’ll break it down in today’s news update.

Plus, in today’s deep dive, I’ll share 5 Nano Banana Pro prompts I’ve found most valuable in real-world testing.

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AI is now a 4-Horse Race, with one Conspicuous Absence

One chart from A16Z AI Partner Justine Moore explains everything you need to know about the model releases over the last 2 weeks:

There are 4 companies in the race:

1. OpenAI - which released GPT-5.1 November 12th

2. xAI - which beat GPT-5.1 with Grok-4.1 5 days later

3. Google - which beat Grok-4.1 with Gemini Pro 3 1 day later

4. Anthropic - which beat Google with Claude Opus 4.5 6 days later

So as of writing, Anthropic has the best model. And next week, who knows? Probably OpenAI’s turn to get back to the top of the leaderboards.

What’s for certain: the pace of innovation remains as brisk as it was in 2023, and the competition is helping us consumers get the best out of these labs.

It’s also worth noticing who remains conspicuously absent from this race: Meta. Despite spending billions on all the best researchers, it has released absolutely nothing.

The last version of Llama was released in April. Something seriously wrong is going on over there.

There’s a billion AI news articles, resources, tools, and fundraises every week. Here’s what mattered:

News

• The Google TPU threat to Nvidia became real propelling it past Microsoft’s market cap:

  • Meta is buying Google TPUs

  • Google also sold Anthropic 1M TPUs

• China continues to lead the open source race, with Deepseek releasing a new IMO gold medalist model (that almost no one talked about)

• Sierra, Brett Taylor (OpenAI Board Member)’s company, hit $100M ARR

Resources

• Google Antigravity tutorial (their new Cursor competitor)

• How Kuse hit $10M ARR in 60 days with context engineering

New Tools

• Nao: an AI Powered IDE for analysts hit #1 on Producthunt

• Questas: builds choose-your-own adventure stories with AI and hit #1 on PH

Fundraising

• xAi is closing on a $15B funding round valuing at $230B, a 460x multiple on its $500M in 2025 projected revenue

• Robinhood CEO’s Harmonic raised $120M at $1.45B valuation for error-free AI

And now on to today’s deep dive:

5 highly effective Nano Banana Pro prompts you can use

Nano Banana Pro is the most amazing AI image model ever. It’s opening up brand new uses cases that you need to know.

But let me break a harsh truth: most people are lying about what Nano Banana Pro can do for you. It still sucks for professional headshots, for instance.

I’ve tested everything so you don’t have to. Here are 5 actually awesome prompts that can be useful to (and aren’t silly annotations that are useless):

1/ LinkedIn infographics

You can now turn complex thoughts into shareable infographics.

I created the above with this simple prompt:

Create a lime green and white infographic with:
•⁠  ⁠Top: Category label, bold title, subtitle in bubble
•⁠  ⁠Middle: 7 numbered steps in dotted boxes (3-row grid)
•⁠  ⁠Each step: Green number pill, bold header, explanation, bullets
•⁠  ⁠Bottom: Green banner with “Follow me for more”

Use #A4D65E green for headers/accents, white backgrounds, black text, rounded corners. Keep text concise and mobile-friendly 
{blog-content}

2/ Create technical diagrams

You can now create complex technical diagrams:

I did this from my post on context engineering for PMs:

Create a professional technical diagram illustrating [SYSTEM/PROCESS]. Use clean, modern styling with appropriate icons and labeled components. Include [KEY ELEMENTS] and show the relationships between them with directional arrows. Use a color scheme that distinguishes between [DIFFERENT SYSTEM PARTS]. Make the diagram clear enough for technical documentation but visually appealing enough for presentations.

3/ Comparative product UI mockups

It can easily show you how different design approaches for a feature can look side-by-side, so you can make better decisions and have a solid foundation to work with.

Steal this prompt:

Create a set of 3 UI mockups for {FEATURE/SCREEN} showing different design approaches. For the first, use a minimal, data-dense design prioritizing efficiency. For the second, create a more visual, feature-rich interface. For the third, design an innovative approach that reimagines how this interaction could work. Use a consistent color palette based on {BRAND COLORS}, and include realistic placeholder data. Make each mockup distinct but implementation-feasible.

4/ Visualize data patterns and anomalies

AI can finally do charts!

This is great for sharing or for visualizing large datasets sitting in your Excel sheets:

Create an advanced data visualization highlighting the patterns and anomalies in this [DATASET/METRICS]. Use visualization techniques that reveal [SPECIFIC RELATIONSHIP] while making [KEY ANOMALY TYPE] immediately apparent. Incorporate small multiples or comparative elements to show changes over [TIME PERIOD]. Use a color scheme that emphasizes statistical significance, with attention to accessibility. Include annotations pointing out the three most important insights.

5/ Transform code into visual explanations

When you need to explain complex algorithms or code logic to stakeholders or in documentation without losing them in technical details, this comes in handy.

Steal my prompt:

Create a visual explanation of how this [ALGORITHM/CODE BLOCK] works. Use a step-by-step flowchart with clear annotations explaining each operation. Include small code snippets where relevant, but focus on making the logic visually intuitive. Use color coding to distinguish between [DIFFERENT OPERATIONS/PHASES]. Make the visualization detailed enough for engineers but clear enough for non-technical stakeholders.

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That’s all for today. See you next week,

Aakash

PS1. If you liked this, you’ll love my podcast with Google AI PM Director Jaclyn Konzelmann.
PS2. Yes, of course, I grinded from 10pm-12:30 AM to send this to you. No one works harder.