MA MACHINE pour générer des BELLES UI avec l'IA (skills, tips and tricks)

MA MACHINE pour générer des BELLES UI avec l'IA (skills, tips and tricks)

MY SYSTEM for generating BEAUTIFUL UI with AI (skills, tips and tricks)

Title history
  • MA MACHINE pour générer des BELLES UI avec l'IA (skills, tips and tricks) — observed on 20261031-2331 UTC (YouTube)

by Melvynx · View the channel on PSI

Applied Sciences & Engineering AI — Models & Research UYQArtificial intelligence (AI)UYQFGenerative artificial intelligence
🎙 Melvynx 👥 67K 📅 September 11, 2026 ⏱ 15 min 👁 12K 📄 tutorial 🧭 2026-10-31
Available in: English (current) Français

Keywords

AIUIlanding pageskillsdesign inspiration

Summary

In this tutorial, the creator Melvinx shares three techniques he personally uses to generate aesthetically pleasing landing pages with AI tools, aiming to avoid what he calls ‘slop.’ The first tip is to source high-quality images from platforms like Pinterest or Background Supply, then feed these to the AI as visual references. The second tip involves mixing multiple inspirations from existing successful SaaS landing pages, taking screenshots of specific sections (hero, pricing, features) and requesting the AI to combine them into a new cohesive design, rather than copying a single competitor wholesale. The third tip focuses on using design-specific ‘skills’ or prompt plug-ins, such as ‘Better UI’ and ‘Interface.dev’, which enforce improvements in typography, color, layout, and accessibility. He also demonstrates his personal setup, including a router skill that auto-selects the appropriate sub-skill, and mentions his configuration files available via mlv.sh/fc. The video concludes with an encouragement to join his community and a note on his own bookmarking tool ‘Save It’ for collecting inspiration.

164 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video offers practical, step-by-step guidance grounded in the creator’s direct experience. It emphasizes a trial-and-error approach and advocates for iterative improvement using AI-generated design. However, the argumentation is largely anecdotal—no quantitative benchmarks or controlled comparisons are provided. Success claims are supported by examples of his own projects, which demonstrate aesthetic variety but lack rigorous evaluation criteria. The advice to mix inspirations is reasoned, referencing design principles such as avoiding direct copying and drawing from validated market patterns. The discussion of skills is informative, highlighting specific tools and how they enhance output quality, but again relies on personal preference rather than systematic testing.

Scientific Rigor, Source Quality, Title Accuracy

The creator provides a range of links in the description, primarily to his own products (e.g., AgentConfig Pro, Save It, blog, Discord) and free resources (e.g., JavaScript courses, React course). These are functional resources rather than scientific references. The video does not cite external studies or scholarly sources, and the claims about best practices are based on individual experience. The title matches the content well, clearly indicating a personal workflow for AI-assisted UI design. There are no comments provided to analyze.

199 words

Title / Content Match

The title accurately reflects the content: the creator demonstrates his personal workflow for generating attractive UIs with AI, focusing on images, inspirations, and skills.

Quality & Reliability

6/10

Practical and actionable advice based on personal experience, but lacks empirical evidence or formal benchmarking. The methods shown are reproducible and align with common AI-assisted design workflows, though claims like 'best results' are anecdotal.

Chapters

Cited Sources

Contribution & Novelties

The video provides a practical, hands-on methodology for using AI to create polished UI designs, focusing on three concrete techniques: using high-quality images as visual anchors, mixing multiple inspirations to avoid plagiarism, and leveraging specialized prompt ‘skills’ (e.g., Better UI, Interface.dev) that automatically enforce design best practices. The creator shares his own configuration tricks, including a router that auto-selects the appropriate skill, which adds a personal level of customization. While not novel in academic terms, the suggestion to use OKLCH color space and specific skill libraries is a useful practical takeaway.

Pour aller plus loin :

  • OKLCH color space — A color model that improves perceptually uniform color representation, relevant to UI design.
  • Prompt engineering — The practice of designing inputs to elicit desired outputs from AI models, central to the video’s approach.
  • UI/UX design — Covers the broader domain of designing user interfaces and experiences.

146 words

Radar Profile

The radar profile shows moderate scores across all dimensions, reflecting a practical tutorial with solid informational value but lacking in-depth scientific rigor and technical depth. The strengths lie in the quality of information and practical applicability, while the weaker points are in quantitative reliability and formal evidence.

Reliability 5/10