Here’s what’s on the agenda today…

• ✍️ NINJA AI TOOL: Meetings Just Got 10x Easier

• 🤝 TODAY’S PARTNER: Learn AI in just 3 Minutes a Day

• 🗞️ WHAT’S HAPPENING: AI News and Tool Updates

• 💡 HIGHLIGHTS: Featured Tools From Recent Issues

• 🔍 TUTORIAL: Create Consistent AI Product Photos & Videos

NINJA AI TOOL

✍️ Meetings Just Got 10x Easier (And You’ll Actually Remember Them)

Quick question:
How much time do you waste taking meeting notes?
(If you’re anything like me... way too much.)

Good news — you don’t have to anymore.

Otter AI is a total game-changer for meetings.

It listens, writes, summarizes, and even remembers stuff for you — so you can actually focus on the meeting instead of typing like a maniac.

Here’s what Otter does:

📝 AI Meeting Agent
Otter jumps into your meetings and automatically transcribes everything while you talk. Once it’s done, you get a summary and a list of action items — no more wondering who said what or what you’re supposed to do next.

💬 Otter AI Chat
Later on, if you need to find something, just ask Otter.
It can pull quotes, write a follow-up email, even create a quick project update based on your meetings.
➔ It’s basically like having an assistant who actually listened.

🔗 AI Channels
Otter also lets you keep the conversation going after the meeting ends.
You and your team can chat with each other (and Otter) inside a “Channel” — perfect for updates, questions, or moving projects along without scheduling 10 more Zoom calls.

Here’s how easy it is to get started:

1. Head over to Otter AI

2. Create a FR€E account (super quick, just your email).

3. Connect your calendar and Zoom/Google Meet/Teams if you want.

4. Otter will automatically join your meetings and start working.

5. After the meeting, check out your transcript, summary, action items — and chat with Otter whenever you need something.

That’s it. No more scrambling for notes or trying to remember what your boss said three meetings ago.

➔ Start using Otter for free here

A MESSAGE FROM OUR PARTNER

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WHAT’S HAPPENING

🗞️ AI News and Tool Updates

The AI world never stops — and the past 72 hours brought major launches, big moves, and breakthroughs. Here’s the news you need to know:

• OpenAI will launch new models like GPT-4.1, o3 Pro, o3, and o4 Mini, while delaying GPT-5 for further improvements.
  → New models reshape the AI landscape, while GPT-5’s delay hints at major behind-the-scenes shifts in strategy and development.

• OpenAI's GPT-4.5 became the first AI to pass the original Turing test, convincing people it was human 73% of the time.
  → A historic milestone showing how close AI is to truly mimicking human intelligence and blurring the line between man and machine.

• AI data centers are expected to drive nearly half of U.S. electricity demand growth by 2030, surpassing heavy industries.
  → Highlights the massive environmental and energy impact of AI expansion as data centers grow rapidly across the U.S.

• OpenAI may soon require organizations to verify their ID to access certain future AI models, aiming to boost security and prevent misuse.
  → New rules could change how businesses access and deploy cutting-edge AI, adding extra layers of security and accountability.

• Twelve ex-OpenAI employees backed Elon Musk’s lawsuit to stop OpenAI’s shift to a for-profit model, arguing it betrays its original mission.
  → The future of AI ethics is at stake as OpenAI faces internal and external pressure to stay true to its original mission.

• Nvidia plans to invest hundreds of billions over four years to build semiconductors in the U.S. and reduce reliance on Asia.
  → Huge investment reshapes where the world’s most powerful AI chips are made, aiming to boost U.S. leadership in tech and manufacturing.

• NVIDIA will manufacture AI supercomputers in the U.S., partnering with TSMC, Foxconn, and Wistron to boost supply chain resilience.
  → A key move to strengthen AI hardware production directly on U.S. soil and reduce dependence on overseas manufacturing.

• Apple will overhaul Siri with major AI upgrades in fall 2025 to boost natural language skills and stay competitive.
  → Apple joins the AI arms race with a smarter, more human-like Siri to stay competitive in the evolving tech landscape.

• Meta’s Llama 4 Maverick AI underperformed rivals like GPT-4o and Gemini 1.5 Pro on the LM Arena benchmark after testing concerns.
  → Meta’s AI struggles to keep pace, raising doubts about its leadership in the AI race and its ability to compete with top rivals.

• Google DeepMind plans to merge its Gemini AI model with Veo to create a multimodal assistant trained on YouTube data for real-world interaction.
  → Multimodal AI will soon understand and interact with the world in groundbreaking new ways.

• Canva launched six new AI features in a major update, making design more intuitive, efficient, and accessible for users of all skill levels.
  → Creative work just got faster and easier thanks to Canva’s AI innovation, making professional design accessible to everyone.

• Google Workspace is introducing seven new AI features to enhance productivity across its applications.
  → AI-driven tools in Workspace aim to supercharge everyday business tasks and boost productivity across teams.

• Salesforce’s Spring '25 release adds AI features like Einstein for Flow, helping admins build automations and improve user experience.
  → Admins get smarter tools to automate and streamline Salesforce workflows, making daily operations faster and more efficient.

• Google launched Firebase Studio, an AI platform that lets users build full-stack apps from natural language prompts without coding.
  → App development becomes faster and easier — no coding required, opening the door for more people to build and launch their ideas.

• YouTube has launched an AI "Music Assistant" that lets creators generate free, copyright-safe background music for their videos using text prompts.
  → Creators can now generate custom music tracks without worrying about copyright, making video production faster and safer.

• ZenCoder’s new update tightens DevOps integration by linking with GitHub and JIRA to boost AI coding accuracy and automate code fixes.
  → New AI tools make software development faster and more accurate, helping teams streamline coding and reduce errors.

• Microsoft’s Recall feature captures encrypted screenshots on Copilot+ PCs for searchable history with local storage and privacy controls.
  → New PC feature lets users search everything they've seen — with added privacy protections.

• DuckDuckGo’s new AI Search boosts functionality while protecting privacy with no tracking or required accounts.
  → Private, smarter search is now a real alternative to Google, giving users more control over their data and online privacy.

HIGHLIGHTS

💡 Featured Tools from Recent Issues

In case you missed our recent issues, here’s a quick recap of the latest AI tools we’ve highlighted.

• Taskade: Create, organize, and automate tasks, projects, and workflows with customizable AI agents.

• Designs AI: Supercharge your content creation with cutting-edge generative AI. Effortlessly design stunning visuals and engaging posts.

• Writesonic: Quickly create high-quality content such as blog posts, ads, product descriptions, and marketing copy.

• ClickUp: All-in-one productivity platform that helps you manage tasks, docs, goals, and projects in one place.

• Zapier: Turn chaos into smooth operations by automating workflows yourself—no developers, no IT tickets, no delays.

• Aidelly AI: An AI-driven content generator designed to help businesses create AI-powered, brand-specific marketing content.

AI TUTORIAL

🎯 How to Create Consistent AI Product Photos and Videos (Step-by-Step)

If you’ve ever tried using AI to create product photos, you know the struggle —
logos warp, labels get messy, and consistency is nearly impossible.

But that’s changing fast.

In today’s tutorial, you’ll learn how to create professional, consistent AI product images and videos using Kive AI and RenderNet — two tools that make the whole process way easier.

Here’s how it’s done:

Step 1: Use Kive AI for Professional-Grade Product Photography

🔹 What is Kive AI?
Kive AI lets you train a custom model on your specific product, so your logos, labels, colors, and designs stay exactly right across all your AI images.

🔹 How to Use It:

1. Visit Kive AI and create an account.

2. Upload photos of your product from different angles and lighting.
   ➔ (The higher quality the photos, the better.)

3. Train your AI model by creating a "New AI Model" and naming it.

4. Compose your ad: Choose your product cutout, scale it, and set up your background prompt (e.g., “bath oil on the beach at sunset”).

5. Generate images — and tweak orientation, lighting, and placement.

🔹 Extra Features:

• Upscale to 4K for sharper details.

• Image-to-Video: Turn your AI images into short videos with camera movements.

• Erase & Replace Objects: Quickly remove or swap out background elements.

• Relighting: Change lighting tones (like “red and yellow tones”) across your whole scene.

• Background Removal: Instantly cut out your product from any setting.

🔹 Pro Tip:
Kive AI’s "Image to Video" tool is solid, but if your product has tiny text details, you might get better video quality using Runway Gen-4 or Kling.

Step 2: Use RenderNet for a More Affordable Option

🔹 What is RenderNet?
RenderNet is a cheaper tool that quickly creates realistic AI product photos and videos — without needing full model training.

🔹 How to Use It:

1. Visit RenderNet and log in.

2. Upload your product photo (RenderNet automatically removes the background).

3. Choose a preset: Pick a scene or model (like a person holding your product).

4. Scale and place your product realistically in the scene.

5. Generate the photo — and instantly download it.

🔹 To Create a Video:

1. Convert the image to video (RenderNet will guide you to crop it).

2. Write a simple prompt (e.g., “the man smiles as he holds the product”).

3. Choose Google V2 engine for generation.

4. Generate — and you’ll get a lifelike, smooth video showing off your product.

🔹 Pro Tip:
RenderNet’s videos have great text fidelity (meaning your logos and labels stay sharp).

Which Should You Use?

• Kive AI → Best for professional ad campaigns where you need full control.

• RenderNet → Perfect if you’re looking for a fast, affordable option with solid results.

Both are powerful — it just depends on your needs and budget.

➔ Ready to try?

• Check out Kive AI here

• Or start with RenderNet here

No more messy logos or weird product labels — now your AI product shots can finally look like the real thing.