December 2024

7 AI Tools Design Job Seekers Need in 2025 (Tested)

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7 AI Tools for Design Job Seekers in 2025

The article lists seven essential AI tools categorized for design job seekers to help them secure jobs in 2025. Key tools include:

  1. Designfolio.me: Quickly creates professional portfolios with auto-generated case studies.
  2. EnhanCV: Builds ATS-friendly resumes with templates and suggestions.
  3. Skillora AI: Offers voice-based mock interviews and feedback.
  4. Final Round AI: A real-time assistant for polishing interview responses.
  5. Resumeworded: Provides feedback to improve resumes and LinkedIn profiles.
  6. Careerflow AI: Automates job application processes via a Chrome plugin.
  7. Huntr: Organizes job search with tracking features for applications.

The advice emphasizes simplicity and utility, making the job search process smoother for designers.

https://uxplanet.org/best-ai-tools-for-design-jobs-2025-f19ac3fddfd0

Google Whisk

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Google Whisk is a new AI tool by Google that generates images using other images as prompts rather than text, enabling users to create personalized visuals easily. It utilizes Gemini for captions and Imagen for final image generation. Currently available in the US and Canada, Whisk has received positive feedback for its functionality in design and creativity.

[https://www.producthunt.com/posts/google-whisk](https://www.producthunt.com/posts/google-whisk)

Imagen 3

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**Extreme TLDR:**
Imagen 3 is Google DeepMind’s top-tier text-to-image model, improving image detail, lighting, and artifact reduction. It generates diverse art styles, shows significant detail, and understands prompts better, producing high-quality images and text rendering. Enhanced safety measures include filtering harmful content and embedding digital watermarks.

[https://deepmind.google/technologies/imagen-3/](https://deepmind.google/technologies/imagen-3/)

How Did You Do On The AI Art Turing Test?

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11,000 people took a test to classify 50 images as human or AI art. Median accuracy was 60%, indicating difficulty in differentiation. Many participants judged art based on style rather than content, leading to misclassifications. Notably, 60% of top-liked images were AI-generated. Those critical of AI art still preferred AI images. The results suggest that while AI art can deceive, human biases affect perceptions, reflecting broader feelings towards new art forms.

[https://www.astralcodexten.com/p/how-did-you-do-on-the-ai-art-turing](https://www.astralcodexten.com/p/how-did-you-do-on-the-ai-art-turing)

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