10 neural tools that really help in web design

10 neural tools that really help in web design

Author:
Viktor
Viktor
Creative Director

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

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 What it does: generates a site map, page structure and texts in draft form.

Why is it needed:

  • at the pre-sale stage (quickly show the client what the site will look like)

  • 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

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What it does: a generative neural network that creates images based on text descriptions.

Why is it needed:

  • when creating moodboards

  • for a unique visual

  • 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

  • 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

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What it does: generates texts, suggests structures, helps with UX texts.

Why is it needed:

  • to create draft landing pages

  • for generating micro-texts (errors, buttons, labels)

  • 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)

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What it does: adds generation magic to the Figma interface: icons, texts, UI ideas.

Where it helps:

  • in a moment of “creative block”

  • 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

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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

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What it does: an aggregator of the best prompts with generation results.

When relevant:

  • when working with Midjourney / DALL·E

  • 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

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What it does: turns mockups into working layout (HTML, React, etc.)

Why is it needed:

  • when accelerating MVP

  • 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

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What it does: generate and edit videos based on text and images.

What it helps with:

  • in prototypes

  • 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

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What it does: helps structure thoughts, write articles, adapt texts

Current:

  • when creating text specifications

  • 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!

Published: 07.08.2025