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- 🔥 Google’s New AI App Builder Is Wild!
🔥 Google’s New AI App Builder Is Wild!
ALSO: Mistral’s AI Impact Report & Meta’s New AI Brain!
Golam Rabbani
July 26, 2025
In partnership with
Hey, AI Visionaries! ❤️
Today’s Insights:
Google’s New AI App Builder
Mistral’s AI Impact Report
Meta’s New AI Brain
5 Hand-Picked AI Tools
Prompt: Tweet Idea Generator Prompt for Personal Brands
5 Hand-Picked Resources & Guides
Read Time: Under 5 minutes
NEWS
Google tests Opal, a vibe-coding app
What's the story?
Google is testing Opal, a new AI-powered “vibe-coding” tool that lets users build web apps by simply describing them in text. Users can edit the app’s visual workflow, tweak prompts, and share their creations online. Opal aims to make app-building easy for everyone, not just coders.
Key Takeaways:
Opal creates web apps from simple text prompts.
Users can visually edit app workflows step-by-step.
Apps can be shared and tested with others online.
Targets non-technical users for easy prototyping.
Joins competitors like Canva and Figma in no-code tools.
Why It’s Important:
Google’s Opal lowers the app-building barrier, empowering more people to create digital tools without coding skills. This could speed up innovation and bring fresh ideas to life faster.
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NEWS
Mistral reveals AI’s environmental impact
What's the story?
Mistral’s new study measures the environmental impact of its AI model. One AI prompt causes little harm, about 1.14g CO2 and 45ml of water, but billions add up. Training and running AI models led to emissions like 4,500 cars a year and water equal to 112 Olympic pools. Transparency urged.
Key Takeaways:
One AI prompt’s emissions are small but add up fast.
Training AI uses most CO2 and water, not just prompts.
AI’s footprint equals common internet activities.
Mistral calls for clear, honest AI impact reports.
Could lead to a scoring system for eco-friendly AI.
Why It’s Important:
Understanding AI’s real environmental cost helps balance tech benefits with planet care and pushes AI creators to be more eco-friendly.
PRODUCTIVITY
5 Hand-Picked AI Tools to 10x Your Productivity
📚 The Librarian – An AI assistant that helps you write emails, plan your schedule, and find files fast, so you can focus on what matters.
🧠 Eloovor – Helps you find a job faster with smart tools for resumes, interviews, cover letters, and tracking every job you apply for.
🤖 Concierge AI – Connect your favorite apps and talk to them naturally. Ask anything and get help fast with smart AI models.
🤖 SEObot – An AI robot that writes and manages SEO-friendly blog articles for your site so you get more visitors without lifting a finger.
🤳 ShortPix AI – Create stunning AI portraits of yourself fast and easy, right from WhatsApp, no apps or signups needed!
Attention Founders & AI Builders!
Built an AI tool? Get it seen on the #1 AI marketplace.
NEWS
Meta names Shengjia Zhao chief AI scientist
What's the story?
Meta CEO Zuckerberg announced Shengjia Zhao, a top OpenAI researcher behind ChatGPT and GPT-4, as chief scientist for Meta Superintelligence Labs. Zhao will lead research alongside Alexandr Wang. Meta is hiring heavily and building a huge cloud system to power next-gen AI models.
Key Takeaways:
Shengjia Zhao, ex-OpenAI AI star, leads Meta’s new AI unit.
Zhao helped create ChatGPT, GPT-4, and the reasoning model o1.
Meta’s MSL unit focuses on cutting-edge AI research and reasoning.
Zuckerberg is investing big, including a massive 1GW cloud cluster.
Meta now has two top AI chiefs: Zhao (MSL) and Yann LeCun (FAIR).
Why It’s Important:
Meta is racing to lead AI by hiring top talent and building massive tech power, shaping the future of AI innovation and competition with OpenAI and others.
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֎ PROMPT OF THE DAY
Tweet Idea Generator Prompt for Personal Brands
Prompt: You are Twitter Generator GPT - a sharp, audience-savvy content strategist who helps [YOUR DESCRIPTION] grow a loyal and engaged Twitter following. You specialize in creating scroll-stopping, value-first tweet ideas that help creators, solopreneurs, and builders stand out in a noisy feed.
GOAL
Generate 30 original tweet ideas I can turn into high-engagement tweets. These ideas should spark curiosity, provide value, or build trust — not just get likes, but attract followers who stay.
TWEET IDEA FRAMEWORK
Break the ideas into 3 buckets (10 each):
Pain Point Questions – Questions your audience is secretly Googling or too embarrassed to ask. These should provoke curiosity and position me as a solution-provider.
E.g., “How do I use ChatGPT to generate leads while I sleep?”
Counterintuitive Truths – Flip common beliefs upside down. Challenge norms, bust myths, or reveal hard truths most avoid.
E.g., “You don’t need more tools. You need one tool used daily.”
Relatable Beliefs & Experiences – Share honest thoughts, mindset shifts, daily struggles, or unpopular opinions that make me feel real and followable.
E.g., “Sometimes I wish I didn’t discover AI — now my brain never shuts off.”
TWEET IDEA RULES
- Do not write the actual tweets - give raw ideas only.
- Avoid generic or surface-level content. Dive deeper.
- No hashtags, no emojis — this is ideation, not execution.
- Make each idea feel different — no recycled hooks.
- Briefly explain why each idea works (psychology, strategy, or hook potential).
ABOUT ME
My Positioning: [e.g., I help solopreneurs use AI to earn more, work less, and future-proof their business.]
Audience: [e.g., Busy creators, side hustlers, and digital solopreneurs who want to leverage AI for productivity, income, and growth.]
📚 TUTORIALS & GUIDES
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Signing off,
Until next time,
Golam Rabbani - AI Educator, Founder & Investor
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