10 neural tools that really help in web design
Contents:
- 1. Relume Library: generating site structure + draft text
- 2. Midjourney: generation of references, illustrations, visual identity
- 3. Galileo AI – interface generator
- 4. ChatGPT – text logic and copywriting
- 5. Magician (Figma plugin)
- 6. Leonardo.ai – controlled graphics generation
- 7. PromptHero – database of prompts for generative tools
- 8. Locofy – code generation by design
- 9. Runway ML – generation of videos, animations, backgrounds
- 10. Notion AI – project assistant and copywriter
Neural networks promise to speed up the creation of websites, automate texts, simplify prototyping, and even generate designs. In practice, not everything works.
We at the Veonix studio tested dozens of generative services and compiled our top list, which included neural tools that we actually use in projects.
Some have become part of our pipeline, others are indispensable in prototypes and concepts. None of them replaced a person, but each one speeded up the work.
Read and bookmark!
Relume Library: generating site structure + draft text

What it does: generates a site map, page structure and texts in draft form.
Why is it needed:
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at the pre-sale stage (quickly show the client what the site will look like)
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in working with landing pages and MVP
Pros: logical structure, adaptation to business.
Disadvantages: it is not yet friendly with the Cyrillic alphabet, you have to modify the texts.
Our verdict: 8/10. A great start, especially if the client doesn't know where to start.
Midjourney: generation of references, illustrations, visual identity

What it does: a generative neural network that creates images based on text descriptions.
Why is it needed:
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when creating moodboards
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for a unique visual
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as temporary stubs in prototypes
Pros: Excellent quality and detail
Cons: requires observation and precise prompts
Our verdict: 9/10 – a must-have in the studio, especially in the early stages.
Galileo AI – interface generator
What it does: according to the task description, generates UI screens.
Why is it needed:
-
quickly collect an interface idea for discussion
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get draft components
Pros: Looks like a real app
Cons: does not always fit into UX logic yet
Our verdict: 7/10, a promising tool, especially for mobile applications.
ChatGPT – text logic and copywriting

What it does: generates texts, suggests structures, helps with UX texts.
Why is it needed:
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to create draft landing pages
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for generating micro-texts (errors, buttons, labels)
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for working with SEO queries
Pros: fast, logical, understandable
Cons: without editing it “smells like a neural network”
Our verdict: 9/10, a reliable copywriter and project assistant.
Magician (Figma plugin)
What it does: adds generation magic to the Figma interface: icons, texts, UI ideas.
Where it helps:
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in a moment of “creative block”
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to speed up routine tasks
Pros: Works in an environment where you are already designing
Cons: limited in styles, not always relevant
Our verdict: 8/10, great accelerator.
Leonardo.ai – controlled graphics generation

What it does: An alternative to Midjourney, but with more control over style, background and objects.
Why is it needed:
-
when creating covers, backgrounds, UI art
Pros: fast, visually diverse
Cons: crude interface in places
Our verdict: 7/10, good for tasks where control is important.
PromptHero – database of prompts for generative tools

What it does: an aggregator of the best prompts with generation results.
When relevant:
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when working with Midjourney / DALL·E
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as a learning environment for designers
Pros: saves hours on choosing wording
Cons: addictive
Our verdict: 10/10, perfect to stop poking around blindly.
Locofy – code generation by design
What it does: turns mockups into working layout (HTML, React, etc.)
Why is it needed:
-
when accelerating MVP
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in repeating components
Pros: works as an exporter from Figma
Cons: requires manual modification
Our verdict: 6/10, does not replace a layout designer, but reduces time.
Runway ML – generation of videos, animations, backgrounds

What it does: generate and edit videos based on text and images.
What it helps with:
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in prototypes
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for dynamic landing pages
Pros: fresh, impressive
Cons: Limited control
Our verdict: 7/10. A point tool, but quite effective.
Notion AI – project assistant and copywriter

What it does: helps structure thoughts, write articles, adapt texts
Current:
-
when creating text specifications
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when preparing presentations and briefs
Pros: fast, convenient, integrated into the work environment
Cons: Requires human editing
Our verdict: 8/10, better than notes, easier than the website.
Today there are indeed a lot of tools, but the point is not to just “push a button”, but to know when, why and how to use generative solutions to benefit the project.
At Veonix, we combine technology and experience, automation and taste, AI and people. If you need a website that is not only beautifully generated, but also actually works for business, we will be glad help!

