Welcome back, AI Enthusiasts!
In today’s AI summary rundown:
Google has agreed to the EU’s non-binding Code of Practice for general-purpose AI systems (GPAI), aligning with OpenAI and Mistral. This move comes ahead of the EU AI Act’s full enforcement on August 2, 2025.
The Code outlines expectations around transparency, safety, copyright, and model documentation essentially a dress rehearsal for complying with the upcoming AI Act.
Google warned the voluntary code might unintentionally hurt Europe’s AI landscape by slowing product timelines, exposing sensitive IP, and adding red tape that favours big players.
While Alphabet signed, Meta declined, claiming the Code overreaches the actual AI Act requirements. Microsoft is expected to follow Google’s path soon.
This move signals Europe’s ambition to lead global AI policy, even if tech giants are still calculating the long-term cost of compliance.
Read time is 4 min..
Insight: Meta’s AI Job Interviews Are Here
AI on your side
Meta is trialling a new interview format where coding candidates can use an AI assistant during mock technical interviews mirroring how engineers increasingly rely on AI tools in real projects.
No more solo whiteboards
Unlike traditional whiteboard tests meant to catch candidates off-guard, these interviews acknowledge AI’s growing role in programming workflows and assess how well applicants collaborate with it.
Internal trial run
The experiment involves Meta employees signing up to act as candidates in mock interviews. Their feedback and performance will help shape the structure of real future assessments.
Zuckerberg’s “vibecoding” vision
Mark Zuckerberg has said AI agents will handle much of the "mid-level" coding by 2025. This move fits that roadmap, testing whether people can work with AI, not just without it.
Different from the rest
While companies like Amazon and Anthropic restrict LLM use during interviews, Meta’s approach goes the other way suggesting AI collaboration is a skill worth hiring for.
AI Training: Tutorial of the Day
Writing a Case Study with AI That Doesn’t Suck
1. Start with the facts
Before prompting AI, gather:
Who the client is
What problem they faced
What you did
What results followed (numbers, quotes, screenshots if possible)
2. Use this structure
Headline – Lead with the outcome (e.g., How Client X Boosted Revenue by 30%)
The Challenge – Be real. What was broken?
The Solution – What did you do differently?
The Outcome – Stats, testimonials, impact.
Final Quote/CTA – Wrap it with proof or next steps.
Prompt idea:
“Write a case study about [client] using [solution] to fix [problem]. Use the structure above. Keep it clear and human.”
3. Fix tone and flow
AI can sound robotic. Fix it with this line:
“Make it conversational, no fluff, no jargon. Write like a smart human.”
4. Format for the eye
Ask AI to break it into:
Bullets for wins
Short paras
Pull quotes
Clean headers
Prompt idea:
“Reformat this to be scannable for web readers.”
5. Repurpose it
Turn one case study into many formats:
“Make this a LinkedIn post.”
“Turn this into a landing page testimonial.”
“Summarise into a 2-line pitch.”
Quirky AI Tools
DupDub is an AI voiceover tool built for people who want more than just robotic narration. It gives you access to natural-sounding voices in multiple languages and tones, with full control over pacing, emphasis, and pauses. You can even clone your own voice, making it ideal for creators who want to keep their brand voice consistent across videos, podcasts, audiobooks, or product explainers. Whether you need a corporate narration or a casual YouTube voiceover, DupDub gives you the realism without hiring voice actors every time.
Yarnit is your go-to tool when you want to tell a story, not just generate content. Unlike most AI writers that churn out basic paragraphs, Yarnit structures your writing like a narrative—complete with tone suggestions, visual prompts, and formatting assistance. It’s especially handy for marketing teams, bloggers, or startups trying to build pitch decks that feel cohesive and human. Whether you're writing a social post, blog article, or product story, Yarnit helps you weave everything together with more flow and less friction.
Make is an AI-powered automation platform that connects your favourite apps and builds workflows without needing a single line of code. It’s visual, intuitive, and built for people who hate repetitive tasks. You can automate actions between tools like Google Sheets, Slack, Notion, Gmail, and hundreds more. Think of it as the smart glue between apps, perfect for solopreneurs, marketers, or small teams trying to get more done with less manual effort. It’s also flexible enough for complex setups if you like tinkering.
Createlyis a visual collaboration tool that uses AI to make diagramming faster and smarter. It’s perfect for mapping processes, brainstorming ideas, or planning projects with your team. You can build mind maps, org charts, customer journeys, or anything else that needs a visual layout and Creately’s AI helps generate shapes, structure, and suggestions as you go. What makes it stand out is how well it blends free-form drawing with structured logic, making it useful for both designers and business teams who think better in visuals.
Trending AI Startups
Lazarus AI is taking AI-powered threat intelligence to the next level. This isn’t your typical cybersecurity tool; it's designed to think like an attacker, spotting blind spots in your digital infrastructure before real threats do. Lazarus uses machine learning to simulate potential breaches, identify vulnerabilities, and provide actionable fixes. It's built for security teams that want to stay ahead of the curve without drowning in false positives. In short, it helps companies be proactive, not reactive, about digital defence.
Blitzy is the AI assistant built for e-commerce sellers who want speed without losing control. Whether you’re writing product descriptions, handling customer inquiries, or tweaking ad copy, Blitzy takes over the grunt work. Its real edge? Contextual understanding. It tailors responses and content based on your actual store data, so you’re not stuck editing generic outputs. Perfect for Shopify and Amazon sellers looking to scale without hiring more hands.
Cracken AI is where finance meets serious AI firepower. It's built to give investors, analysts, and traders a smarter way to work through noisy financial data. Whether it’s parsing earnings reports, summarising SEC filings, or breaking down macro trends, Cracken turns complex data into clean, digestible insights. Think of it as your on-demand financial research assistant built for anyone who needs speed, depth, and clarity in the markets.
Zania AI is rethinking how teams work by acting as a fully integrated AI teammate. Instead of being “just another chatbot,” Zania works across your apps think Slack, Notion, email, CRM and helps execute actual tasks, not just answer questions. It’s designed for operations-heavy teams who juggle lots of tools and repetitive actions. With Zania, you can delegate workflows like onboarding, project tracking, or even internal comms turning scattered processes into streamlined execution.
AI-Generated Image of the Day
Prompt: A lone fisherman with weathered hands, dressed in a wool cap and thick coat, standing silently at the edge of an old wooden dock at sunrise. Mist rises from a still, mirror-like lake reflecting the golden morning light. The lake is surrounded by tall pine trees fading into the mist. Peaceful, cinematic atmosphere with soft, natural light.
Tip: the more specific the better
Question of the Day
Should AI-powered surveillance cameras be used to monitor workplace productivity?
Today’s Meme
That’s a Wrap
That’s it for today’s news in the world of AI!
If you have anything interesting to share, please reach out to us by sending us a DM on Twitter: @dthareja or email me at [email protected]
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