AI Is Building The UI Now
The line between AI suggestions and finished products is vanishing.
It feels like we just got used to AI writing code snippets for us. Now it’s coming for the entire application stack, starting with the user interface.
Your AI Is Designing Its Own Interface Now
C1 by Thesys lets LLMs respond with interactive UI, not just plain text.
C1 by Thesys is a Generative UI API that lets language models generate interactive front-end components. Instead of just getting a wall of text, an AI can now respond with a fully functional chart, form, or card that you can actually use. The promise is a 10x speed-up in development by turning static AI outputs into dynamic, actionable applications.
This isn't just about saving developers from writing React components. It’s about creating a new class of truly 'AI-native' software that feels fluid and adapts in real-time. The real story is the collapsing of the layers between an AI's 'thought' and the user's action. We're shifting from assistants that tell you information to agents that present you with interactive tools.
Of course, the claim of integration in 'two lines of code' warrants scepticism, as true customisation is never that simple. While it might not replace bespoke frontend work for mature products, it’s a massive unlock for rapid prototyping. This matters for anyone who wants to build intelligent applications without a dedicated UI team.
The Rise of the Agent Developer
We're rapidly moving from AI co-pilots to AI leads, with new models capable of orchestrating entire projects.
Imagine with Claude: Your AI coding partner just got a promotion
Anthropic's experiment lets Claude build entire software applications in real-time, based purely on conversation. This is a powerful glimpse into a future where your collaborator is an AI that materialises software as you speak.
Claude Sonnet 4.5: The new lead developer you can't get coffee with
Anthropic's newest model is designed to autonomously manage multi-day coding projects. The focus is shifting from generating disposable snippets to orchestrating complex, long-term software development.
DeepSeek-V3.2-Exp: Making powerful AI economically viable
This model makes processing huge codebases 2-3x faster and significantly cheaper by using 'sparse attention.' It's the critical plumbing that makes long-context AI agents practical, not just powerful.
Your Business Logic, Now Automated
AI is embedding itself into every workflow, automating monetization, customer service, and content creation.
Station AI: The media team in your browser
This tool acts as a 'full media team' for podcasters, automating editing, promotion, and even finding sponsors. It’s trying to solve the creator economy's hardest problem: turning passion into a sustainable career.
Assembly: A VIP lounge for your customers
Formerly Copilot, this platform offers branded customer portals with an AI-powered CRM on the back end. It's about consolidating the customer experience while making your internal team radically more efficient.
CrePal: Your personal AI film director
CrePal acts as an 'AI Director,' turning a simple text prompt into a fully edited short movie. This collapses the entire video production workflow, making cinematic storytelling accessible to anyone with an idea.
Quick hits
Floutwork: The browser that thinks it's your assistant
Floutwork is an AI-powered browser with built-in tasks, betting that your real productivity bottleneck isn't your apps, but the chaotic space between them.
Instant Checkout: ChatGPT is now a storefront
You can now buy products from Etsy directly inside a ChatGPT conversation, turning the world's most popular chatbot into a frictionless point of sale.
Vibe Coding Prompts: How to get better code from your AI
A viral Reddit thread reveals the key to good AI-generated code isn't just creativity, but hyper-specific prompts that define constraints and anticipate failure.
My takeaway
The distinction between AI tools and AI agents is collapsing.
We used to have tools that helped us do a task, but now we're getting agents that own the entire outcome. This isn't just about writing code or designing a UI component. It's about the AI taking responsibility for building the whole application, producing the entire video, or managing the customer relationship.
This pushes us to think less like operators and more like creative directors, defining goals instead of executing steps. We're moving from hands-on-keyboard to strategic oversight of autonomous systems. The real question is, are we ready to manage a workforce of agents?
What's one workflow you'd happily outsource to an autonomous AI agent tomorrow?
Drop me a reply. Till next time, this is Louis, and you are reading Louis.log().