The AI landscape of 2026 has moved beyond simple chat interfaces.
For designers and developers, the 'Best' tool are now those that offer** agentic capabilities__ **the ability to not just suggest ideas, but to execute them across your entire workflow. For example, if standard AI is a GPS that tells you where to turn, Agentic AI is a **Self-Driving Car **that actually takes you to the destination.
Let's take a look at the** "Old"** way vs The "Agentic" way
You give a prompt to the **"Old" **way, it gives text/image. If it fails, it tells you why.
You give a goal to the "Agentic" way, it plans and executes. it checks its own work and** "self-corrects"**.
Here is a video on how Agentic AI works: https://youtu.be/Jj1-zb38Yfw?si=85BWP-XTsYXKZurD
The most recent "lightbulb moment" in the AI space isn't just about generating text or images—it's about Generative UI. This discovery is shifting the role of the designer from "pixel pusher" to "systems architect."
What is the recent discovery?
Instead of static layouts, we are seeing_ "Liquid Interfaces."_ Using models like Claude 3.5 or GPT-4o, developers are now creating components that don't exist until the user asks for them. If a user says,_ "Show me my racing stats for the last hour,"_ the AI doesn't just find a page—it designs a custom dashboard with specific charts for that data instantly.
Why this matters for UX Designers:
• Contextual Relevance: The UI only shows what is needed, reducing cognitive load.
• Accessibility: The interface can automatically adjust its contrast, font size, and layout for different accessibility needs without manual coding.
• The "Sanity" Advantage: Using a headless CMS like Sanity allows this AI-generated content to be pulled from a structured "source of truth," ensuring the AI doesn't just hallucinate data.
