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Google Opal: The simplest Vibe coding ever? How to use it
Grok publishes user convos, Meta’s stock drops, Google unveils nuclear energy plan and more!
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You asked, we delivered.
Lemme be real – Opal is a banger. It’s free and chains together all of Google’s best AI products that can automate huge parts of your workflow in less than a minute. (Literally…. We timed it.)
Make sure to check out today’s episode.
Oh, and we also put together a list of 20 Opal-ready app prompts for you to customize and start winning with.
If you want access?
✌️
Today in Everyday AI
6 minute read
🎙 Daily Podcast Episode: Google just launched Opal, the simplest vibe coding tool ever—no code, no hassle. Instantly build AI task apps with Google Opal and Gemini. Learn how to use vibe coding in your daily workflow. Give it a listen.
🕵️♂️ Fresh Finds: Microsoft teams with NFL, IBM collabs with NASA and Adobe Acrobat gets AI updates. Read on for Fresh Finds.
🗞 Byte Sized Daily AI News: Grok publishes user convos, Meta’s stock drops and Google unveils nuclear energy plan. For that and more, read on for Byte Sized News.
🧠 Learn & Leveraging AI: Don’t know what vibe coding is? Wanna learn how it can improve your workflow? We break down Google Opal. Keep reading for that!
↩️ Don’t miss out: Did you miss our last newsletter? We talked about NVIDIA creating powerful China AI chips, Excel adding Copilot cell-fill functions and OpenAI unveiling a cheaper ChatGPT GO in India. Check it here!
Google Opal: The Simplest Vibe Coding Ever? How to Use It 💡
There's millions of people who want to vibe code -- but don't know where to get started.
After all... vibe coding tools often are still full-stack enterprise powerhouses with a steep uphill learning curve.
If only there were a simpler vibe coding platform that didn't even have code.
That's Google Opal.
And for this rendition of AI at Work Wednesday, we show you how to use Google's Opal to create simple apps that tackle some of your most repetitive, redundant tasks.
Also on the pod today:
• Visual Editor and App Sharing in Opal 📲
• Opal for Task-Based AI App Development ⚙️
• Opal vs. Cursor, Replit, Copilot Comparison 🥊️
It’ll be worth your 39 minutes:
Listen on our site:
Subscribe and listen on your favorite podcast platform
Listen on:
Here’s our favorite AI finds from across the web:
New AI Tool Spotlight – Internet.io lets you compare LLM responses head to head, Vapi is Voice AI agents for developers, Get Recall helps you summarize anything with AI.
Microsoft – Microsoft is teaming with the NFL to power game days with AI.
Game Day just got smarter. 🏈 Microsoft Copilot is teaming up with the NFL to bring the power of AI to the game.
— Microsoft Copilot (@Copilot)
1:34 PM • Aug 20, 2025
IBM – IBM is collaborating with NASA to release an open-source foundation model.
In collaboration with @NASA, we've open-sourced Surya on @huggingface — a new foundation model designed to help researchers protect infrastructure through accessible, accurate modeling of space weather.
It's going to totally change how we forecast solar storms. See how.🧵
— IBM (@IBM)
1:00 PM • Aug 20, 2025
Adobe – Adobe Acrobat gets new AI productivity updates.
AI Tech - Dex is an AI-powered camera device that helps children learn new languages.
1. Grok’s “Share” Feature Leaks Hundreds of Thousands of Chats Online 😬
According to Forbes, xAI’s Grok has published and allowed search engines to index over 370,000 user chats when users hit “share,” exposing sensitive prompts, uploaded files, and illicit instructions without clear warning. That means private or work-related exchanges — from medical questions and passwords to plans for illegal activity — became discoverable on Google, creating real privacy and safety hazards for everyday users and professionals alike.
The timing is notable: this follows a similar backlash over ChatGPT indexing and comes as AI platforms scramble to balance transparency, moderation, and user control.
2. Meta Trims AI Team, Markets Flinch 📉️
Meta is reorganizing its AI division and expecting some executives to depart, reports the New York Times and The Information, sparking the stock's worst two-day drop since April. The move underlines that tech’s massive AI spending binge can reverse quickly, and Wall Street worries a pullback at Meta could ripple across suppliers from Nvidia to Broadcom.
With the top S&P 500 tech firms projected to spend roughly $400 billion on AI next year, any capex chill would dent revenue streams that have been propping market gains, says Barings’ Trevor Slaven.
3. Google Backs Next-Gen Nuclear For its Data Centers ⚛️
Google struck a landmark deal with TVA to buy power from Kairos Power’s Hermes 2 molten-salt reactor in Oak Ridge, aiming for commercial deliveries around 2030 and supporting a broader goal of 500 MW by 2035.
This is the first U.S. utility power purchase agreement for this advanced non-water-cooled reactor tech, which runs at low pressure using fluoride salt and could cut costs versus traditional reactors.
4. Google Docs Adds AI-Generated Audio for Documents 📑
Google is rolling out a Gemini-powered audio feature in Docs that lets users generate customizable AI narration (different voices and speeds) for English documents on desktop, with playback available to anyone a document is shared with.
The tool also lets authors embed an “Audio” button (Insert > Audio) so readers can instantly listen, and Google says it’s available to Workspace business, enterprise, education plans and AI Pro/Ultra subscribers.
5. Meta Rolls Out AI-Powered Reel Dubbing to More Creators 🗣
Meta is expanding its AI translation feature on Facebook and Instagram, now letting creators automatically dub Reels between English and Spanish with voice-matching and optional lip-sync before publishing. According to Emma Roth at MUO, the tool—previewed at last year’s Connect—will appear as a “Translate voices with Meta AI” toggle and is rolling out to Facebook creators with 1,000+ followers and all public Instagram accounts.
This makes it easier for creators and small businesses to reach new audiences without hiring translators or editors, potentially boosting discoverability as platforms surface translated reels to users in their preferred language.
6. Google Photos adds conversational AI edits — Pixel 10 first 📸
Announced today at Made by Google, Google Photos will now let users edit images by describing changes via text or voice, powered by Gemini, with Pixel 10 users in the U.S. getting first access. The timely reveal at the company’s product event underscores
Google racing to put generative editing into everyday tools, offering natural-language multi-step edits (remove objects, restore photos, change backgrounds) without hunting for sliders. Google also added C2PA Content Credentials in Photos to show how images were captured or AI-edited, complementing IPTC and SynthID metadata for clearer provenance.
🦾How You Can Leverage:
But the vibe coding scene is so explosive and complex, it’s hard to know where to start.
Google just dropped their dead-simple vibe coding tool Opal that’s so simple it feels like cheating.
Zero code, zero technical knowledge, zero API costs.
You just chat with Opal and tell it what workflow to build. Or, you literally drag boxes around and describe what you want automated in plain English.
Multi-step workflows that normally take hours become one-click solutions in under sixty seconds.
Sure, Opal is more of a templated system visually and doesn’t flex the customization or pixel pushing that most other vibe coding platforms offer.
But that’s also the power shorties.
You can literally build an app in less than a minute that uses Google’s best AI tools: from Gemini 2.5 and Veo to Imagen and Lyria.
So on today's show, we tested whether non-technical executives can actually eliminate their most time-consuming workflows without any coding knowledge.
Turns out?
You can.
And we show you how. a trillion-dollar-backed AI company predicts the end of human intelligence supremacy.
1 – Three-Box Simplicity beats Technical Complexity 💪
Most vibe coding tools flash screens full of repositories, file structures, and technical gibberish.
Opal said ‘nah we’re good’ to ALL that.
You get three main boxes: input, generate, output.
But here's where it gets WILD beyond the visual simplicity. You can chain Google's entire AI arsenal together without knowing anything about APIs or technical integration. Deep Research flows into Gemini 2.5 Flash, which flows into Imagen 4, and context carries through automatically.
Picture this: you normally bounce between Google searches, ChatGPT, Claude, and Canva for market research. Now you describe that exact workflow in plain English and Opal builds an app that does all steps with one click.
Sure, you're not gonna build the next Instagram with this thing.
But for busy executives who just need to eliminate repetitive workflows? This is pure gold.
Try This:
Identify one research workflow you do weekly that involves multiple steps or tools. Head to Google Labs, opt into Opal, and describe that exact process in natural language with timing specifics. Build it, test it on real work, then calculate your time savings multiplied by your hourly rate.
2 – Task Killers Beat Unicorn Fantasies 🦄
Everyone's building Instagram 2.0 when they should be building problem solvers.
Wrong approach entirely.
We tested the opposite theory: what if you built tiny apps that eliminate ONE specific annoyance perfectly? The results were pretty eye-opening.
These aren't customizable pixel-perfect apps with login screens and payment processing. They're task killers designed to solve those five-minute problems that add up to hours weekly.
Think about it: how many times do you think "there's gotta be a better way to do this boring thing" during your week?
Opal gives you that better way in under 60 seconds.
Try This:
Write down three repetitive workflows you do weekly, pick the most annoying one, and describe how you want it automated in Opal. Test it immediately on real work and time the difference between your old process and the automated version.
3 – Premium AI Access for Zero Dollars 💰
No API costs, no hosting fees, no subscription tiers.
Google's basically giving away functionality that other platforms charge hundreds monthly for.
You get Gemini 2.5 Flash Pro, Deep Research, Imagine 4, VO video generation, and Lyria 2 instrumental creation. All included with a basic Google account in the US.
We switched from Gemini 2.0 Flash to Imagine 4 mid-demo and immediately saw better visual quality. That level of model flexibility usually requires expensive API access across multiple providers.
The remix feature? Copy any app from Google's gallery and modify it instantly using natural language commands.
But here's the strategic reality check: this is experimental Google Labs territory, which means it could disappear or get folded into paid products tomorrow.
Try This:
Add up your monthly AI subscription costs, then identify five repetitive tasks you handle manually. Build all five as Opal apps this week and calculate the time savings multiplied by your hourly rate versus your current AI spending.
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