Design

AI-assisted concept ideation and creative brainstorming

Use AI as a strategic and creative sparring partner to generate positioning angles, concept directions, solution hypotheses, and UI ideas before visual design begins — unblocking creative blocks and expanding the solution space.

Why the human is still essential here

The designer frames the right problem and constraints, evaluates which ideas are off-base, and decides what direction to pursue; AI only accelerates exploration and ideation, not judgment or design accountability.

How people use this

Positioning angle brainstorm

AI generates multiple distinct positioning statements and differentiators for the same product so the designer can pick the most compelling direction.

ChatGPT / Claude

Audience persona & jobs-to-be-done expansion

AI turns a rough target audience idea into several plausible personas, jobs-to-be-done, and core anxieties to inform concept direction.

Notion AI / ChatGPT

Competitive framing matrix

AI summarizes competitors into a quick comparison matrix (claims, tone, visual tropes) to surface whitespace for a new concept.

ChatGPT / Perplexity

Design sprint HMW expansion

Feed the sprint prompt (users, goals, constraints) to generate dozens of structured 'How might we' questions to spark new solution directions.

FigJam AI

Alternative solution hypotheses

Provide the problem statement and constraints and have AI propose multiple solution hypotheses with pros/cons for rapid early-stage evaluation.

ChatGPT / Claude

Edge-case and constraint checklist

Ask AI to enumerate edge cases, accessibility considerations, and platform constraints to prevent blind spots during early ideation.

Miro AI

Interactive prototype to validate a complex interaction

Generate a quick interactive HTML/CSS/JS prototype to sanity-check an interaction model before investing time in a full Figma prototype.

Claude Artifacts / ChatGPT

Alternate wireframe directions for the same flow

Produce multiple wireframe concepts for the same user flow to compare patterns and identify a stronger layout direction.

Uizard / Galileo AI

Rapid landing page prototype for stakeholder review

Spin up a realistic page prototype from a brief to gather early feedback on structure and messaging before pixel-perfect design.

Framer AI / Figma

Community stories (3)

Reddit

How do you use AI in your daily work?

I know this was asked before, but I’m curious again.

Right now I mostly use generative AI for:


UX copy


A/B thinking and general UX advice


Architecture and workflow discussions


Brainstorming broad ideas


Sometimes I test complex UI ideas in tools like Claude, especially when Figma gets heavy. But overall, I rely mostly on ChatGPT as an assistant to think through problems.


In my case, AI still needs strong input from me. It rarely gives solutions that are fully usable without refinement.


For context, I work on a niche financial platform. The UX challenges are quite specific, and often AI doesn’t have enough context to give answers.


I see a lot of hype on LinkedIn about no-code, heavy automation, “AI doing 75% of design,” etc. But I don’t really see that working in my case. Even for simple landing pages, results feel generic. Maybe I’m using the wrong tools or not prompting well.


Lately my focus is more on management and strategy, while still designing daily.


How are you using AI beyond what I described?

A
Affectionate-Lion582UX designer (financial platform)
Feb 26, 2026
Medium
4 min read

My Experience with Using AI in the Design Process

Let’s be honest... the sheer volume of noise surrounding Artificial Intelligence right now is exhausting and all over the place. Every tool has a “generate” button, and social media (LinkedIn especially) is full of people proclaiming the end of traditional design jobs.

As a product designer, I initially approached this wave with skepticism. I enjoy designing. I like solving complex problems. I was not looking for a machine to do my job for me.


However, almost two years has passed since those early iterations and ignoring AI is no longer an option. Instead of viewing it as a replacement, I have spent my recent time treating AI as a very fast and somewhat literal-minded supporter. The goal is not to let it design the final product. The goal is to clear the path so I have more time for actual critical thinking.


Here is a look at how I have started integrating these tools into my daily workflow:

RC
Ryan CurtisProduct Designer | Enterprise, B2B, SaaS | Ex-Microsoft
Feb 26, 2026
LinkedIn

Most designers are using AI wrong (I use it to think better)

Most designers are using AI wrong. They ask it to create everything.
I use it to think better.


Here's how AI fits into my design process 

1. Idea Exploration

Before touching a single pixel, I use AI to generate multiple positioning angles for a product or concept. One idea becomes five. Five become direction.


2. Content & Messaging Clarity

Strong design starts with strong communication. AI helps refine hooks, headlines, and structure before visuals come in.


3. Moodboarding & Layout Thinking

I explore style directions, composition variations, and visual hierarchy faster, so I design with intention, not guesswork.


4. Faster Iterations

Instead of staring at a blank screen, I start with momentum.


I test concepts quicker.

I refine smarter.


But here's the important part:

AI gives options. ✅ I make decisions.

AI speeds execution. ✅ I bring taste.

Creativity is still human. AI just removes friction.


Designers who learn to collaborate with AI, not compete with it will grow faster.

PC
Prashant ChaudharyStrategy-driven creative (visual design & video production)
Feb 23, 2026