Your AI is Now Your Art Director
And why the gap between idea and execution is disappearing.
The gap between a good idea and a finished product is collapsing into a single conversation.
Your AI Coding Assistant Can Now See What You See
Cursor's new Visual Editor isn't just about writing code; it's about manipulating the web like a designer.
Cursor's new Visual Editor lets you click on any part of a web app and just tell the AI what to change. It's a wild experience, turning abstract code into a tangible, malleable object right in the browser. You’re not just prompting an AI to write code anymore; you’re visually directing it.
This feels like a fundamental shift in how we build for the web. For years, the process has been a clunky translation from design tool to code editor. Now, the distinction is blurring, making development feel more like a creative conversation. The real story isn't just about moving faster, but about lowering the barrier between idea and implementation so much that it almost disappears.
This is aimed squarely at front-end developers and product designers who live in a world of constant iteration. It won't design a complex system architecture, but it will kill the soul-crushing back-and-forth on UI tweaks. The only question is whether the AI's code is clean enough to avoid creating a new kind of technical debt.
From Brainstorm to Final Cut
AI is getting dangerously good at turning messy ideas into polished work, with or without your help.
Google Mixboard 2.0: The AI that turns your chaotic ideas into a polished slide deck.
This kills the most hated part of the creative process: turning a messy brainstorm into a presentable format. It's a direct attack on 'work about work'.
Music Videos by Mozart: Go from a text prompt to a song with a full music video.
This is a huge step in democratising video for musicians. The real test is whether the output feels genuinely creative or just another generic AI template.
Vibary: Give every book its own AI-generated, vibe-matched website.
A niche but clever application of 'vibe coding' that treats marketing as an extension of the creative work. It's about creating an experience, not a landing page.
Your New AI Colleagues Are Reporting for Duty
A new class of AI tools aren't just assistants; they're autonomous agents taking over entire workflows.
Korgi: Connects to your messy stack and builds a project board for you.
This solves the 'blank canvas' problem in project management. Instead of you feeding the tool, the tool feeds itself by reading the chaos of your existing work.
Gemini Deep Research Agent: Google's agent that reads over 100 sources to write multi-page reports.
This moves beyond simple search to genuine synthesis. Its ability to mix public data with your private Google Drive files is its real, slightly unnerving, superpower.
Kaily: An AI agent to automate all your customer conversations.
This isn't just another chatbot; it's the commoditisation of a 24/7, multilingual global support team. The challenge is moving beyond canned responses to handle true complexity.
Quick hits
VibeCSS: Just tell it what to do.
An AI agent that lets you redesign any live website using plain English prompts, directly in your browser.
Buildstash: Stop hunting for the right binary.
A sane way to store, organise, and distribute all your software builds without the usual chaos.
Visualising Git History: Your codebase's history is now readable.
New tools are turning messy Git logs into a clear, visual story, making debugging and onboarding radically faster.
My takeaway
The line between creator and conductor is dissolving.
We're shifting from meticulously building everything ourselves to simply directing AI agents that handle the execution. Whether it's designing a UI, building a presentation, or researching a topic, our primary job is becoming the curator of the AI's output. This isn't about replacing skill, but changing its focus from craft to vision.
This new workflow promises incredible speed, but it also introduces new risks. We get to move faster, but we also risk losing a deeper understanding of the underlying craft. This is the new trade-off.
What happens when we can no longer fix what the AI builds?
Drop me a reply. Till next time, this is Louis, and you are reading Louis.log().