Zeplin AI Design Review

Your extra set of eyes to make sure designs are dev-ready

Design Tools

Developer Tools

Artificial Intelligence

Wow this is clever! The AI, powered feedback analysis sounds like a game changer for design reviews. How does it pick out the most critical feedback?

I've seen so many posts about how overwhelming design feedback can be. It’s tough to make sense of it all. I think your tool could really help a lot of teams struggling with clarity.

If you're looking to connect with designers and developers who need this, I've seen conversations happening around this issue. It might be worth jumping in there!

here are some of these discussions: https://quickmarketfit.com/discu...

I’ve had so many handoff headaches in the past typos, spacing, inconsistent tokens. If this can flag those before they reach dev, that’s a real time saver.

Really like how you’ve framed this as a “second set of eyes”, it feels way more practical than generic AI add-ons. We’ve seen the same thing while building Escape Velocity AI (different industry, business consulting): adoption grows when AI removes the blind spots, not just adds features.

Are teams using Design Review more for accessibility catches or layout consistency so far? What interesting patterns have you noticed?

I appreciate how practical this is. Teams usually talk about collaboration but rarely address tiny details like layout consistency and tokens. Solving that problem directly makes this feel very useful.

THe "dev-ready" angle is spot on. Developers hate chasing down inconsistencies and designers hate rework. A tool that smooths that bridge sounds like it could reduce a lot of friction.

I like the focus on accessibility checks. Designers often forget those until the last minute, so this would help catch issues early. Developers would appreciate not scrambling at the end.

This really resonates. Most times, it's not the big things but small misalignments, missed tokens or typos that cause the biggest slowdowns. having a system that prevents that sounds incredibly valuable.

This feels really practical. I've seen so many teams lose time over overlooked design inconsistencies. Having something that flags those early sounds like a huge win for both designers and developers.

I love how you positioned this as "an extra set of eyes." Designers often miss tiny details under deadlines, so this feels like a safety net to make handoff smoother and error-free.

Congrats on the launch 🎉 As a team building iPNOTE, we know how tricky the handoff between design and dev can get. Even with clear Figma files, developers often miss small but important details.

Curious — how does Zeplin handle consistency across large projects with multiple designers and devs? Does it go beyond specs and also help teams keep track of design systems as they scale?

Hope it can soon support more complex, custom design systems and integrate with more design tools. Keep up the great work!

this is freaking great! such a good implementation of ai in the design process. love that this ai isn't building a design from the ground up, where often it still struggles with grid and etc. but rather, it provides instant reviews on issues that they eye often overlooks. amazing work you guys!

That's something quite unique. I like that this product isn't your typical "prompt to design" (which often produces sub-par results), but instead this product targets seasoned professionals, helping improve their designs even further. Absolutely indispensable tool for someone who can quickly design in Figma.
Congratulations on yet another launch on PH! 🚀

Perhaps it's clear for a more experienced Figma designer, but I didn't quite understand how is this product shipped, is this Figma plugin? Is it a web-based platform? Can you export/import from Figma seamlessly? Or maybe you can edit figma files "in-place"?

Finally. AI catching design flaws before devs do 👀 Love how it spots spacing issues and token mismatches instantly. Game-changer for our team's handoff process.

Hey Product Hunt! Berkay from the engineering crew at Zeplin.

From an engineering perspective, building AI that avoids hallucinations and provides real value was our top priority.

Instead of relying on a single model, we developed a multi-agent framework. When you request a review, our process kicks off by running a set of powerful heuristics to analyze the design data first. This pre-processing step dramatically improves accuracy before the data is ever sent to our pipeline of over 10 specialized AI agents.

Each agent then takes over with a specific job - one checks for accessibility, another for typos, a third validates spacing tokens. They then cross-validate each other's findings for correctness before you see the results.

This multi-step process, along with the latest models and strict guardrails, is how we minimize inaccurate suggestions and deliver a feature we hope you'll find incredibly useful.

And a fun little behind-the-scenes detail: we had to spend a surprising amount of time fine-tuning the AI's tone. Let's just say the initial versions were brutally honest reviewers! 😂 We worked hard to make sure the feedback you get is always constructive and helpful.

Excited to hear your feedback!