Design

Supporting design research, UI reference analysis, and inspiration recall

Claude and similar AI tools help designers source, organize, analyze, and recall references, screenshots, competitor patterns, Mobbin flows, curated inspiration libraries, and other examples so they can quickly retrieve what matters, understand why references are useful, and use those references to guide stronger first-pass concepts and flows.

Why the human is still essential here

The designer decides what is relevant, interprets the references and research, chooses which patterns to borrow, and connects those insights to real product goals and constraints. AI speeds retrieval, tagging, clustering, and first-pass analysis, but human judgment determines what actually informs the work.

How people use this

UI pattern lookup for first drafts

Teams search curated onboarding, checkout, or settings patterns and use those references to guide AI-generated first-pass screens.

Mobbin / Figma

Saved screenshot pattern analysis

AI reviews saved interface screenshots and explains the interaction pattern, layout choice, visual hierarchy, or UX technique that made them worth keeping.

Claude / Gemini

Competitor flow teardowns

AI compares reference screens from multiple products and summarizes common UX conventions, strengths, and weaknesses.

Claude / Gemini

Need Help Implementing AI in Your Organization?

I help companies navigate AI adoption -- from strategy to production. Whether you are building your first LLM-powered feature or scaling an agentic system, I can help you get it right.

LLM Orchestration

Design and build LLM-powered products and agentic systems

AI Strategy

Go from idea to production with a clear implementation roadmap

Compliance & Safety

Build AI with human-in-the-loop in regulated environments

Related Prompts (4)

Latest community stories (6)

How-To
X

How I Design with AI.

As an engineer who is not a designer and hates slop.

Every landing page, app and tui look the same. They're slop and most of them are incomprehensible.


Here's how I de-slop my product design.


1. Always consider the whole.


The design process is roughly 3 steps:


Lay out all the constraints you are designing for.


Consider an array of solutions that satisfy those constraints.


If you realize a constraint must be added or one can be removed, go to #1.


This is from Notes on the Synthesis of Form by Christopher Alexander. It's a pleasingly rigorous exploration of the design process.


Constraints can take many forms. They could be font and sizing rules, workflows you must support or business-logic states. The important thing is that you decide the constraints.


The common problem is skipping Step 3 and playing design wackamole.


A user gets confused and it's natural to jump into solution mode. Our team gets nerd sniped by this all the time. Especially with the left sidebar because it packs so much information into a small space. The temptation is to spot-fix but that road leads to ruin.


The problem from skipping laying out the constraints is that you get a disjoint patchwork that randomly prioritizes some interactions over others. AI exacerbates the draw to wackamole design. It encourages prompting "Make X more prominent" or "Add an affordance to do Y". In the end, more users are confused.


When feedback arrives, evaluate if it changes your design constraints before jumping to solutions. The way we handle this is keeping a document tracking papercuts and annoyances. We move fast on obvious fixes but track the minor ones so that when it comes time to redesign, we have a collection to address cohesively. The important thing is that we avoid being overly reactive and creating more mess.


2. Remove stuff.


Agents love to add stuff. Your job is to remove the unnecessary parts.


This should be very familiar because agents do exactly the same thing in code and plans. They love belt-and-suspenders, wrapping an extra try-catch or re-implementing the same utility over and over.


In UI designs, agents do the same thing. They love adding extra copy, lines and icons. You end up with real designs that look better than most engineers would create by hand but are actually kind of bad.


An easy step is just look at every element of a design and for every element ask "Do I actually need that?"


3. Iterate in a design tool.


You should not be iterating on design in the product. Use a tool that gives you fine control and lets you iterate quickly with minimal extra context.


Prototype gravity is the silent killer. This is when you have the agent build the first version in your code base then it feels easier to just refine that instead of exploring other options. Designing in your real codebase also forces the agent to build a version that grafts onto your real


Figma is still the GOAT and the AI integration is getting better every week. Cursor Design Mode, Claude Design, a bunch of new startups and even HTML prototypes are great too.


Just please use a tool meant for design and have AI generate 3-4 variants of everything.


4. Use components and libraries.


This one is probably obvious to most engineers but it's very important so I'll say it quickly.


Separate views and logic. Create reusable components.


It's not hard and it pays dividends. Your app will be visually cohesive rather than a patchwork of re-implemented buttons.


To do this at Ref, we maintain a /showcase page. We have agents build the UI component there first to play with them before connecting to the main app.


5. Use preview deploys.


The best way to evaluate a design is with real data. Preview deploys allow you to try the new designs with your real backend.


It's important to remember, there will always be some polish and re-work necessary. Even if the agent builds exactly what you told it, you may still hold it in your hands with real data and realize it's not right.


For a large feature that involves frontend and backend, preview deploys can be tricky. At Ref we solve this by separating frontend and backend PRs. Backend changes can be verified with unit and integration tests. Frontend changes require human verification and preview deploys make it easy to share a link.


6. Steal stuff.


Most UX problems have been solved already and you should be taking pieces and putting them together. Spend some time looking at products solving a similar problems or communicating similar ideas.


Every cracked designer I've worked with starts every single project by pulling together a bunch of screenshots. You should do the same, it makes amazing context to send to your agent.


7. Explore your taste.


This is the fun part!


Taste is reflecting on your own reaction to something. And my apologies to Kyle Chayka but reflecting on one's experience is not proprietary to parties in Brooklyn lofts. It's necessary to create and not create slop.


Product engineers are excellent at identifying when a design doesn't work but have a hard time knowing how to fix it. What engineers lack is the solution library from experience to pull from. Building that just takes reps trying things and reflecting.


It's fun to play and explore. But it can also feel pretty brutal because its a deluge of critique until something is good enough.


At Ref we don't have a full-time designer so we resort to an agricultural threshing approach to refining our taste. We throw a design in the middle and beat it with sticks until we feel good about it.


That's all I've got. GLHF.

MD
Matt DaileyFounder at Ref.
Aug 26, 2026
News
LinkedIn

Replit Design is here.

Replit Design is here.

I’ve been using it to move from a visual direction to something real: start with a template, pull in inspiration from Mobbin, add a point of view, and keep going until it becomes a poster, a website, or a working app.


I created a great launch poster for myself. May just end up sharing a poster for my next vocal performance.


I’m especially proud to have helped bring the Mobbin partnership to life alongside Samuel Spitz, Aman Mathur, Matt Hall, Stanley Huang, Jason Lee, and Nick McLachlan, plus the team at Mobbin (Jian Jie Liau 😸, Jovin Liew). This product partnerships give builders a powerful starting point for inspiration.


Try it: https://replit.com/design

AB
Asif B.Product at Replit
Jul 29, 2026
Personal Story
LinkedIn

How do I use AI as a product designer?

How do I use AI as a product designer?

I've recently started experimenting with AI in my work to speed up the process. I primarily use Claude Cowork and recently started trying out Claude Design. I'd like to share what I liked:


1. Checking the task for completeness. When we're talking about a product task that results in a specific mockup or flow, it's important that the task is described as thoroughly as possible, as the outcome directly depends on the designer's immersion in the context. That's why running the task through AI and challenging the product designer can significantly change the final outcome.


2. Task planning. I often work on large projects where tasks need to be decomposed, otherwise they're quite difficult to approach. Claude is great for breaking these tasks down into stages and subtasks, which become milestones that are understandable for both you and your team.


3. Conducting quick research at the initial stages of the task. Previously, it was necessary to spend a considerable amount of time defining user segments, jobs to be completed, and so on. Now, it's all done in one or two prompts, and you immediately receive a significant amount of research that helps you immerse yourself in the context of the task.


4. Mobbin's MCP integration into Claude. It opens up a wealth of opportunities, for example, a quick and detailed analysis of direct and indirect competitors, finding killer features, analyzing application flow, and suggesting proposals for your own product. This greatly accelerates the initial immersion in tasks because it immediately provides sufficient context for what's happening in the market.


5. Highlighting weaknesses and analyzing what has been accomplished. For example, you're reworking a flow to improve it and asking Claude to analyze it and compare it with competitors' flows on Mobbin. Typically, 30-40% of the insights turn out to be quite useful, while the rest either miss the point of the interface or provide information that's valid outside the context of the product.


6. Finding missed corner cases. When you're designing a completely new section of the interface that hasn't existed before, it really helps you understand whether you've missed anything; the development team will definitely be grateful for it.


I'd say Claude is now a great work assistant and fits perfectly into anyone's workflow. It allows me to significantly speed up previously time-consuming stages, allowing me to focus on what's most important: high-level planning, polishing mockups and UI work, more time on micro-animations, and ensuring the interface is responsive to user interactions.

RZ
Renata ZaripzianovaProduct Designer at Yandex | Mentor
Jun 15, 2026
Personal Story
LinkedIn

My design workflow looks different now.

My design workflow looks different now.

Brainstorming → Claude

Breaking down UI references → Gemini

Wireframes → Lovable

Working prototypes → Antigravity


What used to take days now takes hours.


I'm not using AI to replace my design thinking. I'm using it to move faster so I can spend more time on the decisions that actually matter.


The designers who figure this out early are going to be very hard to compete with 🤔


What's in your AI stack right now?

EO
Eniola OlaniyiProduct Designer
Apr 15, 2026
How-To
Medium

Designers and AI: The Honest Conversation We’re Not Having

When I use AI in my design work, I’m not outsourcing my thinking. I’m speeding up the parts of the process where speed is actually valuable, generating options, exploring directions, getting a quick read on structure, so I can spend more time on the parts where my judgment matters. That’s a meaningful difference.

I use Claude for research. I’ve trained it over time to understand the tone and voice of the products I work on. When I save a screenshot of something that inspired me, I send it over and it helps me remember why I saved it, what the design is actually doing, and how it connects to whatever I’m building now. That’s not impressive. It’s just useful.


I’ve also given it instructions for UX writing — the tone, the constraints, who the users are. When it gives me copy suggestions, I don’t paste them straight in. I read them against the product’s voice and ask whether they’re actually clear for the user. Sometimes I run tests to find out.

MS
Mohamed ShantoryProduct designer
Apr 11, 2026
Personal Story
X

I lead an AI-first creative studio, and everyday we uncover a new AI use case that changes how we work.

I lead an AI-first creative studio, and everyday we uncover a new AI use case that changes how we work.

As a designer, I live inside visual references. Sourcing, organizing, and selecting imagery used to be a manual headache. Now my team leverages AI workflows to handle that automatically, and we're finding new ways to use it almost daily.


When the administrative weight lifts, what's left is time for pure creative and strategic thinking.

KW
Kelly WearstlerDesigner
Mar 31, 2026