🗞️Crazy Nano Banana Use Cases💥🚀

If you’re new here, welcome! If you’ve been reading for a while, thank you for sticking around as we navigate this wild AI shaped shift happening across eCommerce. Each week I share what I’m experimenting with, what’s actually moving the needle, and the trends that deserve your attention before they hit your competitors’ playbooks.

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Visual reasoning finally grows up with Nano Banana 2

I have been testing the new Nano Banana 2 and it feels like someone slipped a spatial reasoning engine into a text model. It does not try to impress you with fireworks. It just sees. And once it sees, the things you can make it do become a whole new playground for ecommerce content.

Here are the five moments that made me sit up. Literally.

1. Builds spatial context

Prompt: Create a top view of the pink blush

You give it an angled shot of a product and it understands how that object would look if you hovered over it. Not a guess. A structurally sound reconstruction. If you are creating Amazon content, this is a cheat code for angles you never shot.

2. Understands object composition

Prompt: Disassemble this toy into components of head, body, wheels, battery and remote

It does not cut things randomly. It identifies each part and lays them out like a product engineer prepping for an assembly guide. If you have ever fought with freelancers to make clean component breakdowns, this model just solved that.

3. Follows on-image guidance

Prompt: replace the marked area by a woman's hand holding this pink blush

4. Adds cinematic details

Prompt: make this image into a masterpiece with cinematic details

Most models either overcook or flatten. Nano Banana 2 does something more interesting. It studies the scene, figures out the vibe, and then lifts it into something that feels directed rather than generated.

5. Translates context into any language

Prompt: Turn the Japanese on image into English

It reads the text, understands where it sits in the layout, and rewrites it naturally without breaking the design. For anyone selling globally, this is the fastest route to localized lifestyle images you have ever had.

Nano Banana 2 feels like an early signal of where image models are going. Less chaos. More awareness. A sense of space and intent that finally makes on image reasoning practical for day to day creative work. Have you tried it yet? Hit reply and share your favorite use case!

The future of e-commerce requires scale and speed. PPC Ninja helps brands dominate the AI transition. We leverage AI to build stunning, high-converting images and video, efficiently scaling your content production across all channels (Amazon Ads, Social Media, Posts). Stop fighting for relevance. Reach out to [email protected] to explore how we can immediately upgrade your content and future-proof your listings.

Hugging Face Image Angles

Nano Banana 2 can generate new angles on its own, but Qwen plus Kling gives you something different. Qwen lets you steer the camera with exact controls. Rotate by precise degrees. Push the lens forward in clean increments. Shift the vertical angle without guessing. You get a matched pair of shots that feel like they came from a controlled photo setup.

Step 1

Drop your image into the Hugging Face Qwen Image Edit tool. The magic here is the sliders. You can rotate the product by precise degrees, move closer in controlled steps, or shift the bird to worm angle without guessing. This gives you a clean pair of frames that feel like they came from a planned shoot.

Step 2

Send both frames to Kling AI. Add a simple prompt or run it through the DeepSeek enhancer inside Kling if you want a stronger arc. Kling reads the two angles and builds a smooth transition between them.

Watch the final clip. It looks like a motion product demo even though everything came from one photo and two sliders.

This is the power of combining tools! I find myself doing a LOT of that. In fact any AI Video generation projects we are taking on right now are a combination of 5+ tools to achieve one small effect to move it along in the pipeline. A lot of the video assets created are tossed. Almost 9 out of 10 are slop. So while AI is getting better and better, it is not easy!

The future of e-commerce requires scale and speed. PPC Ninja helps brands dominate the AI transition. We leverage AI to build stunning, high-converting images and video, efficiently scaling your content production across all channels (Amazon Ads, Social Media, Posts). Stop fighting for relevance. Reach out to [email protected] to explore how we can immediately upgrade your content and future-proof your listings.

Gemini 3.0 is out!

Gemini 3.0 is getting strong early reactions for one simple reason. It feels capable in places where most models wobble. Long tasks, technical steps, mixed language prompts. It handles all of it with a level of discipline people were not expecting.

You can activate Gemini 3.0 by simply selecting “Thinking”. The model takes more time per query and produces answers that reflect multi step thinking rather than quick pattern matching.

🔶 It handles multi part prompts with more discipline
Users give it long chains of instructions or nested conditions and it works through them step by step. No skipping. No forgetting earlier parts.

🔶 It explains reasoning without sounding fabricated
The Thinking mode shows its work in a way that feels closer to methodical problem solving. Developers say the explanations track the logic rather than decorating it.

🔶 It manages branching tasks better
People are testing it with prompts that require if this then that logic. The model follows the branches cleanly and keeps the structure intact.

🔶 It reduces shallow answers
The Fast mode jumps to conclusions. Thinking mode pauses and considers alternatives. The tone feels slower but more careful.

🔶 It improves coding and debugging quality
Programmers say Thinking mode is less likely to gloss over a broken function. It reads logs with more precision and offers fixes that match the actual issue.

🔶 It works well for planning and decision trees
Users give it business workflows, research plans, multi step checklists and it organizes them with fewer contradictions.

The best part is that you can pair it with Nano Banana and take things to the next level!

The overall vibe is simple. Gemini 3.0 behaves like a model built for real work rather than demo tricks. It is stable, structured and surprisingly reliable in long form reasoning.

Every 4th Tuesday of the month, Danny McMillan and I go live on the Go with the Flow podcast at 8 am PST on Seller Sessions! We dive into crazy nerdy things we’ve been working on related to AI. We discuss what’s real, what’s useful, and what’s next. Join us!

If you missed our last episode, we talked about Scraping in great detail. It’s a good one.

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