TLDR Design

TLDR DESIGN 2026-03-10

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02OPINIONS & TUTORIALS

THE CAPABILITY MATURITY MODEL FOR AI IN DESIGN

Jakob Nielsen presents a six-level capability maturity model for AI in design, expanding on Matt Davey's original five-level framework. The levels progress from skeptical, limited AI use to eventually embedding AI into design systems and product delivery. The highest levels envision AI generating interfaces autonomously, transforming designers from "pixel pushers" to "system gardeners" who manage AI-driven design processes.

jakobnielsenphd.substack.com19 min read

BE LOUD ONLINE, BUILD CONNECTIONS, AND LOOK FOR SIDE DOORS

Emerging designers who want to collaborate with major brands like Apple, Nike, or Gucci should focus on developing strong skills through smaller projects while making their work highly visible online, since large companies often discover talent through platforms like Behance, Pinterest, or creative blogs rather than formal recruitment. Creating passion projects inspired by brands, reaching out to studios or partners connected to them, and steadily building professional relationships can gradually increase visibility and improve the chances of landing major brand collaborations.

itsnicethat.com1 min read

CAN AI DESIGN A UI YET? AND WHY DESIGNERS ARE STILL NEEDED

AI can produce adequate UI designs quickly, but struggles with business context, specific audiences, and distinctive branding that builds trust. While conversational AI may replace some informational websites, graphical interfaces remain superior for tasks requiring speed, precision, visual configuration, and complex navigation. AI currently helps designers by creating standard layouts and shifting work from pixel-pushing to curation, but designers are still needed for strategic decisions and contextual problem-solving.

boagworld.com4 min read

03LAUNCHES & TOOLS

AI VISUAL WORKSPACE

Projekt is a visual workspace that wraps your AI coding agents in a real-time preview, an editable DOM, and a prompt-first interface.

getprojekt.comTool

REAL-TIME 3D CHAT ROOMS FOR WEBSITES

Floors.js is a real-time 3D chat system that transforms website visitors into avatars who can move around and chat with each other with just one line of code.

floorsjs.comTool

USE AI TO ANNOTATE YOUR PROJECTS

Agentation is a tool that turns UI annotations into structured context for AI coding agents by letting users click elements and add notes. It provides AI agents with CSS selectors, React component names, and computed styles instead of vague descriptions, making bug fixes more precise.

agentation.devTool

04MISCELLANEOUS

COGNITIVE DEBT

Teams are shipping code faster than ever using AI assistance, but understanding of that code is falling behind, creating "cognitive debt" - the gap between code volume and team comprehension. Unlike technical debt, which is known as bad code, cognitive debt consists of code that nobody understands well enough to judge because the mental models and reasoning weren't built during AI-assisted development. This leads to slower debugging, poor onboarding, frequent rewrites, and breakdowns in code review processes.

acairns.co.uk7 min read

FRANKY WANG ON DESIGN, AI, AND THE FUTURE OF UX

JPMorgan designer Franky Wang believes the future of UX design will be shaped by AI/machine learning advancements and the need to design for aging populations. He views AI as a complementary tool that enhances the design process by simplifying data analysis and streamlining tasks. Wang advocates embracing AI technology rather than resisting it and is committed to mentoring junior designers as they work toward creating more inclusive, human-centered digital environments.

digitaljournal.com2 min read

INTEGRATING UX INTO CAPACITY PLANNING

UX teams are often excluded from proper roadmap planning, with design work squeezed into whatever time remains before engineering starts, which leads to rushed decisions, poor research, and burnout. A more effective approach is to treat UX as a measurable part of delivery by creating a shared framework for estimating UX effort, tracking design and research tasks in tools like Jira or Linear, and incorporating those estimates into capacity planning. By aligning on strategy and priorities, estimating work realistically, and planning projects around team capacity—often with UX operating as its own squad—teams can make design work visible, manageable, and better integrated with product and engineering.

links.tldrnewsletter.com19 min read