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Ep 658: 5 Simple AI Strategies to Supercharge Your Workflow with Google

5 AI Strategies from Google's Chief Evangelist, Nano Banana Pro released, ChatGPT rolls out new Pro model, Gemini gets “Generative UI” upgrade and more

Author

Everyday AI
November 20, 2025

Sup y’all 👋

Crazy 24 hours in AI. GPT-5.1 Pro (a monster AI model) was released and Google dropped Nano Banana Pro.

Wowzers.

Oh, and I’ve interviewed hundreds of people for the Everyday AI show, and today’s episode with Richard Seroter was insanely valuable. Seriously. Don’t miss it.

✌️

Jordan

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: Google’s Chief Evangelist spilled 5 ways to win back time. Find out more in today’s show and give it a watch/listen.

🕵️‍♂️ Fresh Finds: ChatGPT rolls out group chats globally, Gemini Agent does your digital chores, why Yann LeCun is leaving and more.  Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Nano Banana Pro released, ChatGPT rolls out new Pro model, Gemini gets “Generative UI” upgrade and more. Read on for Byte Sized News.

🧠 Learn & Leveraging AI: Aside from 5 AI strategies to supercharge your day, we go over how AI should change your future of work mindset. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: Inside Gemini 3, Microsoft announces agent 365, OpenAI's new coding model, Perplexity's Groundbreaking AI deal with the Government and more. Check it here!

Ep 658: 5 Simple AI Strategies to Supercharge Your Workflow with Google

Richard Seroter is a Chief Evangelist at Google. 📢

So it’s LITERARLLY his job to help people use Google’s AI products.

So with him joining the Everyday AI show, you KNOW he’s gonna be dropping some time-saving and business building strategies.

And a bit of future of work knowledge along the way.

This is one you DO NOT wanna miss.

Also on the pod today:

• NotebookLM learns with your own data 📚
• Agents manage your email and calendar 📅
• Gemini Deep Research turbocharges analysis 🚀

 It’ll be worth your 33 minutes:

Listen on our site:

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Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Guideflow uses AI for easy interactive demos, Dimension is your AI coworkers that connects to your tools, Spine Canvas is a way to visually chat with 300+ AI models.

ChatGPT Updates — Group Chats are rolling out to all users globally, whereas before they were limited to a few countries.

AI Music — Americans fear AI ‘fake artists’ even as they stream them nonstop. Read More

AI Fears — UK novelists fear AI could undercut their livelihoods—and their voices

New ChatGPT Characteristics — ChatGPT now lets you fine-tune ChatGPT’s personality in detail, down to the emojis.

AI In Schools — How to use AI for school without crossing the cheating line

AI In Hawai’i — Hawaiʻi’s slow AI response risks lost jobs, stalled innovation and deeper inequality

Gemini Helps with Tasks — Gemini Agent quietly starts doing complex digital chores for you in the U.S.

Big AI Names — AI legend Yann LeCun is leaving Meta to start his own company focused on a new kind of machine intelligence. Curious why he’s ditching language models for something different?

1. Nvidia-fueled AI stock surge energizes global markets 🤑

Global tech stocks are ripping higher today after Nvidia smashed earnings forecasts and lifted its sales outlook, reigniting enthusiasm for AI across Wall Street, Europe and Asia. The chipmaker’s blowout revenue growth and bullish guidance sent investors piling back into AI-related names, lifting shares of semiconductor makers and big tech hardware players from Amsterdam to Seoul to New York.

While some fund managers are cheering what they call “phenomenal” growth and argue that valuations for the largest tech companies are not wildly out of line, others warn that the dense web of AI investments and data center spending leaves the market vulnerable if the hype fades.

2. Google unveils AI that builds apps and tools on the fly 🛠️

Google is rolling out a new “generative UI” system in the Gemini app and in Google Search’s AI Mode that lets its models instantly design interactive interfaces, not just spit out text.

Instead of static chat replies, the AI can now generate full visual experiences like custom layouts, tools and simulations tailored to whatever a user asks, powered by Gemini 3’s stronger multimodal reasoning and coding skills. Early tests, detailed in a new research paper from Google, show people strongly prefer these dynamic interfaces over standard chatbot-style outputs, even if they load more slowly.

3. Nano Banana Pro Release Ups the AI Image Game 🍌

Google’s upgraded Nano Banana Pro image generator is rolling out now, delivering far more realistic visuals and sharper language understanding that push AI images closer to photo-quality. The system still quietly tags content with SynthID watermarks and added C2PA metadata, and Gemini can already check if an uploaded image was generated by Google’s own tools.

In a move aimed at heavier professional use, AI Ultra subscribers now get Nano Banana Pro images without a visible watermark, while only the invisible tagging remains in place.

4. Trump Eyes Sweeping Move To Gut State AI Rules 👀

In a fresh escalation of the AI policy fight, President Donald Trump is weighing an executive order that would let the administration challenge state artificial intelligence laws in court and even threaten federal broadband funding to pressure states, according to a draft obtained by Reuters.

The draft would create an AI Litigation Task Force under Attorney General Pam Bondi and push agencies like the Commerce Department to review and undermine state AI regulations that tech companies say create a messy patchwork and slow innovation. This puts the White House directly at odds with bipartisan state officials who argue they need AI guardrails to combat fraud, deepfakes and abusive content, and it comes after the Senate overwhelmingly rejected a similar attempt to punish states over AI laws earlier this year.

5. Warner Strikes AI Music Truce With Udio 🎵

In a fresh jolt to the music industry’s AI race, Warner Music Group has settled its copyright fight with Udio and inked a deal to launch a licensed AI song creation service in 2026 that lets users remix tracks by big-name artists.

The agreement sets a framework for paying and crediting artists and songwriters when their songs, voices or compositions are used, signaling how labels are shifting from courtroom battles to controlled collaboration with music generators. It follows a similar pact Universal Music Group made with Udio last month, even as Udio keeps its platform a closed system that blocks users from downloading their creations, a move that has already stirred backlash from some fans and creators.

6. OpenAI Quietly Launches GPT-5.1 Pro in Bid to Outpace Rivals 🏆

OpenAI has just rolled out a surprise upgrade, GPT-5.1 Pro, to all its Pro users, slipping it into ChatGPT with little fanfare but big ambitions. The new model is said to deliver much sharper, more helpful answers—especially for writing, data science, and business—at a time when competition from Google’s Gemini 3 and xAI’s Grok 4.1 is heating up fast.

Early testers have praised its clarity and flexibility, especially with customizable personalities and smarter responses.

 🦾How You Can Leverage:

Richard Seroter pretty much said that writing requirements documents is turning into a waste of time.

And he’s right. 

Richard is the Senior Director and Chief Evangelist at Google Cloud and he dropped a straight up reality check today on Everyday AI that most enterprises aren’t ready to hear: The era of "pixel pushing" documents to explain an idea is over.

Why?

Because AI tools have lowered the barrier to building software so drastically that "vibe coding" a prototype is now faster than writing a memo about it.

Wild timeline we’re living in. 

Richard broke own 5 time-saving AI workflows, which we’ll bullet point at the end of this lil newsletter, but that’s not the real level up here. 

Instead, we are begging you to listen to today’s show, as Richard gives us a legit masterclass in changing the way we think about work. 

Here’s the 1-2-3 of what you need to know. 

1. The "Demos Over Memos" Mandate 🚀

That’s the new motto inside Google’s engineering product areas. (We friggin love this, BTW.)

Richard explained that teams often waste months debating specifications, formatting tables in docs, and arguing over theoretical implementation.

Stop it shorties. 

With tools like Gemini CLI and Code Assist, non-technical staff can now "vibe code" functional prototypes. You don't need to know Python syntax. You need to know your intent.

The most important programming language today is English. (Or, the language you speak.) 

If you can articulate what you want, you can build a working demonstration. This shifts the entire organizational bottleneck. 

You aren't waiting for a developer to validate if an idea is possible. You build the ugly version, prove the concept, and then hand it to engineering to make it production-ready.

Try This:

Identify a manual process that frustrates you this week. Maybe it's reconciling a specific spreadsheet or tracking team updates. 

Instead of writing a ticket to IT or complaining in a meeting, open a coding assistant (like Gemini Code Assist or even standard LLMs) and describe exactly what you want a simple web app to do. 

Use natural language. "I want a simple page that takes this CSV and highlights rows where column B is greater than column C." Build the ugly version. Prove it works.

2. Deep Research vs. Confirmation Bias 🔥

Most people use AI to confirm what they already believe.

That’s a trap ya’ll. 

The real power of Gemini Deep Research isn’t speed—though Richard noted it analyzed 150+ sites in six minutes for him—it’s the ability to act as an adversarial partner.

Say buh bye to sycophantic AI and hello to a deep researcher that challenges your preconceived notions. 

Richard said he used Deep Research to challenge his own project assumptions. Instead of spending three days clicking blue links to find data that supported his thesis, he asked the AI to find every reason why he was wrong.

It produced a report that repudiated his assumptions immediately.

Six minutes.

That’s the difference between a three-day research project that leads to a failure, and a coffee break that saves your quarter. The competitive advantage isn't getting answers faster. It's asking better questions.

Try This:

Next time you’re about to launch a project or pitch a strategy, stop. 

Open Gemini Deep Research (or your preferred reasoning model) and feed it your core thesis. Then, explicitly ask it to act as a skeptic and find data-backed reasons why this approach will fail. 

You aren't looking for validation here—you're looking for the blind spots that usually cost you three months of work. If the AI can dismantle your strategy in 30 seconds, you just saved yourself a fiscal quarter of headaches.

3. Context Engineering > Prompt Engineering ⚡

Everyone is obsessed with writing the perfect prompt.

They’re focusing on the wrong thing.

The future isn't about being a "prompt engineer." It's about being a "context engineer." Tools like NotebookLM and the new agentic capabilities in Gemini don't work because of magic words; they work because of the data you feed them.

Richard highlighted a massive shift: Moving from stateful one-off chats to long-running contexts.

When you feed an agent your calendar, your email, your 50-page SOPs, and your style guides, you aren't asking it to be smart. You're asking it to be you.

This is how you solve the "blank page" problem. You don't ask AI to write a strategy from scratch. You feed it the last three years of performance reviews, the new product documentation, and the competitor analysis, then ask it to find the gap.

Data grounding beats clever prompting every single time.

Try This:

Take that massive PDF contract, technical manual, or compliance document you’ve been avoiding. 

Dump it into NotebookLM right now. Don't just ask it for a summary. Treat it like a new hire. Ask: "Based on these rules, where is our current workflow non-compliant?" or "What is the weirdest clause in this agreement?" 

You’re moving from "searching for info" to "interrogating your data." The goal is to turn static documents into an interactive expert that sits on your shoulder.

Breakdown: Richard’s 5 Simple AI Strategies to Supercharge Your Workflow 👇

Make sure you watch/listen to today’s show for more!

  • Gemini Deep Research for Analysis: Use Gemini to quickly synthesize info from across the web (and your files) for smarter, faster research.

  • NotebookLM for Exploration: Ground AI in your own docs/data to learn, organize, and digest information your way.

  • Gemini CLI & Code Assist to Build: Use command line and code tools to prototype, automate, and build—no advanced dev skills required.

  • Jewels for Background Work: Offload tasks to autonomous AI agents that work in the background, then review their output when ready.

  • AI Rolling Out Everywhere: Google is adding AI features across its products (Search, Sheets, Drive, etc.), making everyday tasks smarter and easier.

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