🗞️ When AI Writes Itself💥🚀

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.

A quick heads up. I’ve organized all previous editions into one searchable hub. If you want the full journey, it’s all here.

🗞️ AI is now Writing Itself

For the last two years, we treated AI like a very fast intern. Give it a task. Get a draft. Move on. Output was the end of the interaction.That model is already obsolete.

When machines started operating on their own instructions, something fundamental shifted. Anthropic recently said that Claude is now writing Claude code. Claude Cowork was written entirely by Claude.

When an agent distills documentation into a compact Skill and feeds it back into itself, we are no longer using AI. We are managing recursive systems.

This is the Recursive Feedback Loop. Output is no longer an endpoint. It becomes structured input for the next run. Every task leaves the system sharper than before.

From Context Rot to Context Compaction

For a while, we believed more context meant better results. Bigger prompts (pages and pages of it). More PDFs. Longer threads.

What we got instead was context rot. The model knew more, but understood less. Signal buried in noise.

The breakthrough was not bigger context windows. It was Context Compaction.

Instead of feeding chaos into models, operators force the model to distill what matters. The result is dense, reusable logic rather than raw information.

This is not summarization. It is compression with intent.

What “Skills” Actually Are

When Claude introduced the concept of “Skills” the idea was simple. Skills are the unit of compaction. As of today, Anthropic is not the only AI that supports skills. Gemini and Codex support it too. In practice, they are simple markdown files. Plain text. High density. Deliberate structure.

They live outside the model. In repos. In folders. In version control. They are loaded when needed, not rediscovered through prompting.

That is why Skills persist across sessions, agents, and models. They survive context limits and prompt churn. They allow intelligence to accumulate.

As a Claude user, you can add Skills under Capabilities in your Settings. Claude can even help you create Skills out of work that you are already doing.

If you work at the command line or with Claude Code, the folder structure can contain a Claude.md file that Claude will automatically look inside for any instructions you left it. No need to even say “Go to Claude.md” or restate context every time.

What can e-Commerce Operators Extract from this?

Every serious e-commerce team already has Skills. They just live in people’s heads, Slack threads, and forgotten Notion docs.

Start pulling them out.

Turn your best PPC audits into Skills. One markdown file that encodes how you typically diagnose wasted spend, when you pause, when you scale, and what signals you trust. And then turn that into a Skill.

Turn your brand voice into a Skill. One markdown file that encodes how your brand speaks, what it prioritizes, which claims it allows, which comparisons it avoids, and what “off brand” actually means. Load it once, and let every listing, ad, image, and response inherit it by default.

Turn image generation into a Skill. Encode your visual rules, composition preferences, lighting, backgrounds, do’s and don’ts, and what a “good” image looks like for your brand. Load it once, and let every creative inherit consistency instead of starting from scratch.

Store these Skills where your tools already look. Project folders. Repos. Campaign directories. Let your agents inherit them automatically instead of re-explaining them every time.

The goal is not more automation or better prompting. It is fewer resets.

If your AI needs you to re-explain how you run your business every week, you are still operating in 2024. The teams winning in 2026 are the ones turning experience into compact, persistent memory.

What Skills are you creating with AI? Hit reply and let us know!

Google Flow

A notable shift at Super Bowl LX is how AI became both the subject and the engine of ads. About 23 percent of commercials (15 of 66) referenced or featured AI in some way, with tech players and consumer brands alike pushing the narrative that AI was now part of mainstream life. That includes giants like OpenAI, Anthropic, Google Gemini, Amazon, Meta, Wix, and others buying premium Super Bowl airtime to frame their products through artificial intelligence messaging.

The most AI-heavy commercial of the night was Svedka’s “Shake Your Bots Off”. The vodka brand claimed it was the first primarily AI-generated Super Bowl spot, featuring its robot mascots animated using generative tools. That ad leaned fully into the technology as a creative statement even if reactions were mixed.

The Svedka spot mattered not because it was brilliant, but because it crossed a line. AI was no longer hiding behind polish or pretending to be invisible. It was the point. The tool became the headline. And once that happens on the Super Bowl stage, the question stops being whether brands should use AI and starts being whether they know how.

Of the many film making tools out there, Google Flow is a far choice that is aimed far above quick clips. This is text to cinema. You describe scenes, characters, tone, and pacing, and Flow generates short narrative films using Google’s Veo models. The output feels directed, not stitched together. Camera movement is deliberate. Lighting holds. Characters stay expressive instead of melting between frames.

Most Flow videos today live in the short film range. Think several seconds per scene, often extended into one to two minute narratives by chaining scenes together. The quality jump is what stands out. This is no longer novelty AI video. Depth, shadows, facial emotion, and cinematic framing hold up on large screens. You can still tell it is generated, but it no longer looks disposable.

One of the standout features is Ingredients. Ingredients let you define and reuse the building blocks of a story. Characters, locations, props, visual style, mood, lighting, even camera behavior can be saved and reused across projects. This solves the biggest pain in generative video which is drift. Your character stays your character. Your world stays intact. Your brand look does not reset every time you prompt.

Ingredients unlock something most product videos never touch. Story continuity. A character that appears across launches. A customer avatar who returns in different moments. A consistent visual universe that feels intentional instead of promotional.

Flow is not built for feature demos. It is built for narrative. Origin stories. But with some creativity and a bit of Canva magic, you can convert it into a decent video that can be displayed in your storefront.

PPC Ninja is helping brands future proof their listings for AI, helping you build RUFUS-enabled, stunning images and videos with AI. Hit reply on this to chat with us. Explore how we can scale your content production across Social media, Amazon ads, Amazon Posts efficiently and affordably.

Gemini Gems

I have always been a fan of Gemini Gems. They are closest thing Google has to CustomGPTs, but built to live where the work already happens. Over time, I have moved many of my CustomGPTs over to Gems, mainly because they stay inside the Google ecosystem instead of sitting beside it.

You will find a ton of premade Gems by Google that are ready to use out of the box. Or, you could create your own from scratch with your own special instructions to perform certain tasks consistently.

Gems are not floating chat personas. They can reference Google Drive files, work inside Workspace apps via Gemini, and increasingly plug into Notebook LM as a structured source of truth. Instead of pasting docs, copying links, or reminding the model how to behave, you design a Gem once and let it operate on curated knowledge. When that knowledge changes, you update the source, not the prompt.

One smart workflow I saw recently, shared by John Aspinall, pairs Gems with Notebook LM. Notebook LM holds the long term memory, things like PPC frameworks, CTR research, DSP notes, brand strategy docs. The Gem handles execution, turning that material into SOPs, drafts, or structured documents when needed.

Notebook LM becomes the library.
Gems become the operator.
Google handles the wiring.

When Kevin King puts up an event, you know it’s going to be stellar. I am SUPER excited to be speaking at the ECOM Mastery AI featuring Billion Dollar Sellers Summit in Nashville. When: April 8-12, Nashville. Get your tickets here.

🚀 Never Pay for Another App! Learn How to Build Custom Features Yourself📍 Event: Seller Summit 2026
📅 Dates: April 21–23, 2026

Save your spot here: Link

We hope you liked this edition of the AI for E-Commerce Newsletter! Hit reply and let us know what you think! Thank you for being a subscriber! Know anyone who might be interested to receive this newsletter? Share it with them and they will thank you for it! 😃 Ritu