Hi fam!
Hope your week’s been a little less chaotic — and that at least one AI tool saved you some time along the way. Lately, we’ve been thinking a lot about how quickly the way we work, create, and learn is changing… and honestly, it still feels like we’re only scratching the surface of what’s coming next.
In today’s newsletter, we picked a few stories, tools, and ideas that genuinely caught our attention — and a couple you might want to save for later. 👀
The future of AI feels Like Magic, and it’s here!
A lot happened in AI this week — and not all of it was obvious at first glance. Here are a few updates that stood out to us, plus why they matter in the bigger picture.
Google I/O 2026 was packed with AI announcements — including new Gemini Omni models, AI-powered Search, and deeper AI integration across Gmail, Workspace, and Android.
Why this matters: AI is quickly becoming the default layer across everyday tools, which means millions of people may start using advanced AI features without even thinking about it.Anthropic reportedly hired Andrej Karpathy, one of the most recognizable names in modern AI research.
Why this matters: Talent moves like this often signal where the next big breakthroughs — and competition — in AI could happen.Anthropic is reportedly in talks with Microsoft to use Microsoft’s AI chips — a move that could challenge Nvidia’s dominance in the AI hardware space.
Why this matters: The AI race is no longer just about models — it’s also about who controls the infrastructure powering them.AI quietly took over this year’s Cannes Film Festival, as studios and agents reportedly pursued major AI partnerships behind the scenes despite public criticism from actors.
Why this matters: Even industries publicly resisting AI are simultaneously preparing for a future where AI becomes impossible to ignore.Adobe unveiled new AI-powered creative workflows across Photoshop, Lightroom, and Premiere Pro — including agentic AI that can execute multi-step editing tasks from simple prompts.
Why this matters: Creative AI is shifting from “generate one image” to actually helping manage full production workflows, which could massively speed up content creation for creators, agencies, and small teams.
Use AI as a “clarity filter”
One of the most underrated AI use cases isn’t writing content — it’s untangling your thoughts before you write anything at all.
Instead of staring at a blank page for 40 minutes while your brain opens 17 mental tabs at once, try this: paste your messy notes, random thoughts, half-written sentences, or full brain dump into ChatGPT and ask:
“What am I actually trying to say?”
Seriously. That’s the prompt.
It works surprisingly well for:
emails that somehow became emotional TED Talks
article ideas that sound better in your head
project plans with 42 scattered thoughts
awkward client messages
moments where your brain knows the idea, but your words refuse to cooperate
Sometimes AI doesn’t need to create the idea.
Sometimes it just helps you finally hear your own idea clearly.
AI Templates = Less Stress, More Focus
Most people think AI productivity means building complex automations or replacing entire workflows.
But honestly? One of the easiest wins is much simpler: stop rewriting the same things over and over again. 👀
👉 In the full article, we break down step-by-step how to use AI to handle the tiny writing tasks that quietly eat your time every day.
You’ll learn:
Step 1: Why starting from scratch is slowing you down
Step 2: How to build reusable AI templates for emails, offers, reminders, captions, and follow-ups
Step 3: How to make AI sound more like you instead of a corporate robot
Step 4: How to create a simple “prompt library” you can reuse forever
Step 5: Why small AI systems often save more mental energy than massive automations
Because sometimes the real productivity hack isn’t working faster.
It’s never having to write the same awkward follow-up email for the 48th time.
From the Archive: Vexub: Can AI Tell Its Own Future In a Video?
Back in January, AI faceless videos still felt a bit experimental.
Now? They’re practically everywhere.
👉 In this article, we tested Vexub — an AI tool focused on generating narrated video stories with AI visuals, voiceovers, and automated workflows. We talked about what worked surprisingly well, where the results still felt a bit generic, and whether tools like this could become part of real content production workflows.
If you missed it back then, it’s honestly even more relevant today.
Since publishing the article, faceless AI videos exploded across TikTok, YouTube Shorts, explainers, educational content, and automated storytelling channels. What looked like an “interesting experiment” a few months ago is quickly becoming a legitimate content strategy for creators, agencies, and small teams trying to publish faster without huge production costs. 👀
Text generation | Image Generation | LMAI recommends |
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