All posts

May 20, 2026

v0, Uizard, and Galileo AI in 2026: What's Still Worth Using?

Three tools that defined a generation of AI design tooling. One has been acquired and rebranded. One has grown into a full-stack builder. One is still standing. Here's an honest look at where each sits today — and what to use instead when they fall short.

A lot has changed in AI design tooling over the past two years. Tools that were the first answer to "what can I use for AI-generated UI?" have either evolved significantly, been acquired, or been lapped by newer entrants. If you learned about this space in 2023 or 2024 and haven't revisited it recently, your mental model is probably out of date.

Here's an honest assessment of where three of the most-asked-about tools stand in 2026 — what they're good for, where they fall short, and what to reach for when they don't fit.


v0 by Vercel

What it is in 2026: v0 has grown substantially from its origins as a UI component generator. Rebranded from v0.dev to v0.app in January 2026, it now has over 6 million developers on the platform and has expanded from generating React components to building full Next.js applications — including API routes, server actions, and database integrations via Supabase.

What it's good at: v0 is the best tool available if your primary goal is getting to production-ready React code quickly. Describe a UI in natural language, get well-structured Next.js and Tailwind output using shadcn/ui components. The code quality is high, the component patterns are production-appropriate, and the new full-stack sandbox means you can go further than UI scaffolding. Git integration and one-click Vercel deployment mean the path from generated UI to deployed application is genuinely short.

Where it falls short: v0 is a code-generation tool, not a design tool. This is a meaningful distinction. It generates functional interfaces, but it doesn't help you figure out what to build before you build it. There's no product specification step, no aesthetic exploration, no structured process for thinking through flows and edge states before generating. You describe a screen and get code for that screen. The screens don't add up to a designed product unless you're doing the product thinking yourself. For anything multi-screen and complex — where coherence between screens matters and where stakeholder review is part of the process — v0 doesn't give you a shareable, reviewable design artefact. It gives you code.

Pricing in 2026: Free tier with $5/month in credits. Premium at $20/month with Figma imports and API access. Team at $30/user/month.

Who it's for: Developers who want to scaffold UI components and interfaces quickly without leaving their build workflow. Not the right tool for design exploration, stakeholder reviews, or spec-first product development.


Uizard

What it is in 2026: Uizard has stayed close to its original positioning: an AI design tool built for non-designers. Its core value proposition is converting rough ideas into editable interfaces without requiring design skills. The Autodesigner feature takes a product description and generates multiple screens and flows. The Screenshot Scanner converts screenshots of existing apps into editable design components. Sketch-to-digital converts hand-drawn sketches into UI blocks.

What it's good at: Low barrier to entry. If you've never opened a design tool, Uizard is genuinely accessible. The screenshot scanning feature is useful for inspiration and competitive research — upload a competitor's screenshot and get an editable version you can modify. For very early ideation, particularly with non-technical stakeholders, it lowers the floor on producing something visual.

Where it falls short: The output looks like AI-generated UI — this is the consistent finding in 2026 reviews. Generic button styles, default colour palettes, standard card layouts that experienced designers immediately recognise as machine-made. Uizard doesn't have a spec or product model — it generates from a description, which means the screens don't have the completeness or coherence of a spec-driven product. Several users flag missing features that limit its usefulness for anything beyond initial concept sketches: no fixed-position elements, limited component options, no real state management across screens. At $12/month for Pro, it's affordable, but the ceiling is low.

Who it's for: Non-designers who need something visual quickly, particularly for early ideation and communication rather than as a foundation for a real product build.


Galileo AI: it's gone

What happened: Galileo AI is dead as a standalone product. Google acquired it in early 2025, the founding team joined Google, and the product was folded into Google Stitch — Google's Gemini-powered design tool that launched at Google I/O in May 2025. If you search for Galileo AI today, you'll find either redirect pages pointing to Stitch, or a completely unrelated company (Galileo, galileo.ai, which is an AI observability platform — nothing to do with UI design).

There is no Galileo AI you can sign up for. Former users can import their conversation history into Stitch as read-only archives, but those sessions can't be continued.

What replaced it — Google Stitch in 2026: Stitch generates up to 5 UI screens at once on an AI-native infinite canvas, powered by Gemini 3. The March 2026 update was a significant improvement — from a demo-quality release to something that could realistically replace parts of a Figma workflow for certain use cases. Code export spans HTML, CSS, Tailwind, Vue, Angular, Flutter, and SwiftUI. It's free in beta.

What Google Stitch is in 2026: Stitch generates up to 5 UI screens at once on an AI-native infinite canvas, powered by Gemini 3. The March 2026 update was a significant improvement — from a demo-quality release to something that could realistically replace parts of a Figma workflow for certain use cases. Code export spans HTML, CSS, Tailwind, Vue, Angular, Flutter, and SwiftUI. It's free in beta.

What it's good at: The combination of Google's model infrastructure and Gemini's multimodal capabilities makes Stitch strong at interpreting visual references and generating multi-platform code. The free beta pricing makes it easy to try. For a 5-screen prototype with multi-platform export in mind, it's a credible option.

Where it falls short: The 5-screen limit is a real constraint for anything beyond a proof-of-concept. Like v0, there's no product spec step — you describe what you want and get a generation, without a structured process for capturing the product model that makes multi-screen output coherent. The Google Labs status means feature roadmap and long-term availability are uncertain. And Stitch's infinite canvas, while well-executed for 5 screens, doesn't scale to the 30–50 screen complete product generation that a spec-driven tool can produce.

Who it's for: Designers and developers who want quick multi-platform code output from a visual prompt, and who are comfortable with Google Labs-level stability. Strong for 5-screen concepts; not built for complete product design.


What none of them solve

The thread that runs through all three tools is the same gap: they generate UI, but they don't help you design a product.

Generating UI and designing a product are different activities. Generating UI means producing screens that look like something. Designing a product means working out what the screens should be, what they should contain, what states they need to handle, how they relate to each other, and what they should look like — and then producing output that reflects all of that coherently.

The tools above are good at the first part. The second part requires a spec, a structured process for capturing product intent, and a generation pipeline that uses that spec as its source of truth — so the output is specific to this product, complete across its states, and coherent across its screens.

That's what spec-driven generation is, and it's the structural gap between tools that generate UI and tools that help you design products.


How they compare at a glance

v0UizardGoogle StitchMowgli
Primary outputReact/Next.js codeEditable mockupsMulti-platform codeFull design set
Product spec❌ No❌ No❌ No✅ Yes
Screens per generationVariesVariesMax 520–50+
Aesthetic exploration❌ No❌ Limited⚠️ Limited✅ Moodboard
Stakeholder-shareable✅ Hosted prototype✅ Yes✅ Yes✅ Yes
Design canvas shareable❌ No⚠️ Limited⚠️ Limited✅ Yes
Responsive design✅ Yes⚠️ Limited✅ Yes✅ One click
Pricing$0–$30/user$0–$49/moFree (beta)$15/mo

Sources