Design work is equal parts research and execution, especially if you’re still a beginner learning the ropes. The problem is that those two steps usually live in different worlds — you gather insights in a browser tab jungle, then try to translate them into real visuals in a design software. Since Figma is my top design app, it's usually where that scattered research takes shape.

After pairing Figma with NotebookLM, I realized the power of pairing design and AI tools. So I tried the same thing with Perplexity, and it’s been a game-changer for the research side of things. Instead of juggling a dozen tabs or endlessly scrolling through forums, I just ask Perplexity. Not only does it give me the straight answers I need, but all the information remains contained in one place.

Here’s how the Figma + Perplexity combo has been working for me.

I started by configuring the Perplexity Personalization setting

Tweaking the “Introduce Yourself” section gives you custom results

The Introduce Yourself section is where you give Perplexity more context about who you are and what you do, letting the AI give you more tailored and relevant answers. This was a good opportunity for me to add details, so Perplexity’s results could reflect my Figma design goals instead of generic search results. Here’s what I’ve added so far:

I’m a designer who uses Figma and Photopea, I’m still advancing and need clear tutorials not vague explanations.

My learning style: step by step, practical, examples I can follow in real-time.

Think like a Figma and UI/UX design tutor and mentor, give step-by-step explanations and focus on practical design workflows and shortcuts.

After making this tweak, I could definitely see the difference in the results. I highly recommend starting with this if you intend on using Perplexity as a companion to your software of choice.

Using Perplexity as a research and learning assistant

It pulls the exact information I need in no time

I’m familiar with the basics of Figma, but there’s still a lot to learn. I’m also enrolled in a couple of design courses, so information is the pillar of everything I eventually put into practice. These courses already provide resources (which I actually plug into NotebookLM for enhanced learning), but I often end up going down rabbit holes in my browser to learn more about specific topics the courses don’t cover.

Now, instead of hopping between Medium and Dribbble, I just ask Perplexity for the explanations, tutorials, shortcuts, and trends I need. Not only does the AI give me the best sources tailored to my prompt, but it also gives me key takeaways, highlights what matters, and organizes the information in a way that’s easy to digest.

Here are some of the prompts I used for learning more about designing hero sections in Figma:

Best practices for high-converting ecommerce hero sections, plus a Figma workflow to implement them efficiently

How do I set up constraints and resizing rules in Figma for a hero section that adapts to mobile and desktop?

The Answer section gives me a concise, actionable summary, which honestly already suffices. But the Videos section provides me with even better materials since they’re visual demonstrations, and I don’t need to leave the app to watch them. Then there are also the Sources which I can visit directly for more in-depth learning. On top of this, I can ask follow-up questions in the same thread, which gives Perplexity more context as I’m improving my Figma skills in real time.

This is also an excellent way to get shortcuts and advanced tricks for tasks that used to take me too long to complete in Figma. For example, it helped me discover and learn about setting an absolute position in Figma, so an element is excluded from the auto-layout of its parent frame. The difference this Perplexity learning method made was immediate; it cut down my Figma research time by at least half.

Getting feedback on my designs

A second set of eyes, instantly

As a solo creator, I don’t have many opportunities to bounce ideas off a team or collaborators, so I started using Perplexity as a feedback tool instead. After building a mockup or experimenting with a design in Figma, I feed the details to the AI and prompt it to give me specific feedback. I can either describe the design with text, but the free version also lets you upload three files a day, so I’ve been making the most of that. I export my half-baked designs from Figma as PNGs and upload them to Perplexity.

Here’s one of the prompts I’ve used for feedback purposes:

Evaluate the color palette of this meditation app’s mobile screens. Are the choices aligned with color theory principles for calming and relaxing effects? Suggest improvements.

Perplexity can read image files as well as document and text files like PDFs. This lets me use it as an evaluator for the information architecture of my design concepts and the visual results. While it doesn’t match the nuanced feedback a human designer can give me, it’s a great way to help me catch obvious mistakes in my designs and test different approaches.

It's like having a design partner

Some might argue that relying on Perplexity for learning Figma and getting feedback can’t replace the human eye. True, it won’t catch every nuance. But for quickly surfacing best practices, tricks, trends, and suggesting actionable improvements, it keeps my workflow moving without tab-hopping or digging through endless notes. Pairing Perplexity with Figma turned learning, research, and iteration into a seamless loop, and it didn't cost me a cent.