Its Sunday but don't skip it

Day 4: AI for image and video generation

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Alright It’s Sunday and no once wants to read a long lengthy Newsletter.

Let me keep it short and to the point.

Yesterday I shared Day 3 7 day email series about Building your own AI Assistant.

If you have not read it. it would be better if you go threw it before or after reading this Newsletter.

today lets take one step ahead and continue your journey with me forward.

It would be not long for today

I am going to talk about role of AI in Image and Video generation.

which sounds tough but believe me its not rocket science.

don’t worry. let me explain in layman language.

BTW, have you joined my daily newsletter, where I share one short, practical insight every day on email marketing, Newsletter business, Digital Products, Money, and Leverage. Not yet? Click here to Join Now.

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Day 4: creative tools - image and video generation

This is where AI gets tangible and marketable fast

Image generation: Nano Banana Pro

Late 2025 was supposed to be when AI image generation matured, instead one model leapfrogged everything else and reset expectations completely

What Nano Banana Pro gets right:

Perfect text rendering - for years AI images couldn’t spell, text came out garbled or mirrored, now it generates correctly-spelled text in any style you specify, this single capability opens use cases that were impossible before like infographics, posters, social graphics with headlines

Reasoning before rendering - the model thinks about your scene, considering composition and lighting and subject relationships before generating pixels, the result is images that feel intentional rather than random

Search grounding - it can use Google Search to create factually accurate infographics about real topics, not just aesthetically pleasing nonsense

Prompting Nano Banana Pro

Forget the 2024 approach of loading prompts with “4k, trending on artstation, masterpiece” garbage

This model understands natural language, describe what you want like you’re briefing a photographer

The structure that works: subject with descriptive details, then action, then environment, then composition notes, then lighting, then any specific text requirements

Example: “a minimalist movie poster for a thriller, the title ‘SILENT ECHO’ in distressed sans-serif at the top, a lone cabin in a snowy forest viewed from above, high contrast black and white, title perfectly legible and centered”

Midjourney V7 still produces the most artistic and cinematic output for stylized work, Flux is the open-source option for running image generation locally

Video generation: know the limits

I need to be honest here... AI video demos look incredible, the actual experience of using these tools is humbling, that said, they’re production-ready for specific use cases

VEO 3.1 from Google is the most complete package: native audio generation with synchronized dialogue and sound effects, up to 60 seconds, 4K output, vertical format support for social platforms

Kling 2.6 produces the most cinematic realism for short clips... many “real” videos circulating on social media are actually Kling generations

What you need to know: 5-10 seconds is the reliable range, complex physics still fail, budget 3-10 attempts per usable clip, prompt like a director describing what the camera sees not a storyteller describing narrative

Current sweet spot: social media shorts under 15 seconds, B-roll footage, product reveals, concept visualization

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Today’s assignment: generate 10 images with Nano Banana Pro using the natural language prompting approach, then create 3 short video clips with VEO 3.1 or Kling 2.6... notice how the prompting skills from day two directly apply here, specificity and context clarity determine output quality

Stay curious, talk to you tomorrow.

CoolDeep AI
Helping you stay ahead with AI & productivity

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