1min.AI offers a comprehensive platform that consolidates multiple AI models, making it easier to select the right one for various tasks. Currently, you can secure a lifetime subscription for just $39.99, down from $234. This service integrates popular models like ChatGPT, Gemini, and Midjourney, eliminating the hassle of managing multiple tools. With 1min.AI, you can efficiently handle tasks such as AI image generation, website optimization, and content creation. Users receive the Pro Plan, which includes unlimited access to a prompt library, storage, and 1,000,000 monthly credits—enabling the generation of nearly 806,000 words, 161 images, or 12 videos. Additional free credits can be earned through daily app visits, referrals, or reviews. This all-in-one solution not only boosts productivity but also provides significant cost savings, making it an excellent choice for anyone involved in AI-driven projects.

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Apna.co has launched AI Job Prep, an innovative AI-driven interview preparation tool aimed at enhancing job seekers’ confidence and readiness in India. Introduced on June 13, 2025, this platform addresses the challenges many candidates face in interview preparation by offering realistic simulations, instant feedback, and personalized tips, accessible to users across 900+ cities. With over 760,000 interviews conducted, the tool caters to both metro and non-metro areas, reflecting a significant increase in demand for job readiness resources. Key features include role-specific simulations, real-time performance analysis, and speech recognition technology to adapt to regional accents. Powered by Apna’s proprietary Agentic AI Platform, the initiative aims to democratize access to quality interview prep, supporting the development of a digitally skilled workforce in India. Ultimately, AI Job Prep seeks to prepare youth for a competitive job market while promoting equal opportunities irrespective of socio-economic backgrounds.

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A recent study has developed a new tool designed to measure the effectiveness of AI personalization in various applications. The tool aims to evaluate how well AI systems tailor content and experiences to individual users, ultimately enhancing user engagement and satisfaction. Researchers stress the importance of understanding AI’s influence on decision-making processes and how personalized recommendations can impact user behavior. They highlight that while AI-driven personalization can improve user experiences, it also raises ethical concerns, such as bias and privacy issues. The study’s authors believe this measurement tool will help businesses refine their AI strategies, ensuring a balance between personalization and ethical considerations. The broader goal is to create a more user-centric approach to AI development, enabling companies to track and optimize the effectiveness of their personalization efforts. This innovation could significantly influence industries like e-commerce, entertainment, and digital marketing, where personalized user experiences are crucial for success.

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In “Organizations Aren’t Ready for the Risks of Agentic AI,” the Harvard Business Review discusses the growing complexities and risks associated with advanced artificial intelligence systems that exhibit autonomy. While these technologies have the potential to enhance decision-making and efficiency, organizations often lack the frameworks and governance necessary to manage the associated risks effectively. Key challenges include unpredictability, accountability, and ethical considerations. The article emphasizes that most companies are unprepared for the implications of agentic AI—where systems make independent decisions—leading to potential liability and reputational harm. It urges organizations to proactively develop risk management strategies, establish clear guidelines, and invest in education and training to navigate the evolving landscape of AI. The authors advocate for a balanced approach that leverages AI’s benefits while safeguarding against its risks, highlighting the critical need for structured oversight and responsibility in deploying such technologies.

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The author describes their struggle with memory and the necessity of writing things down, leading them to explore various reminder and note-taking apps without finding the perfect solution. Upon discovering Anthropic’s Claude AI, they decided to create a custom notes and reminders app using the chatbot. Crafting the request involved clear instructions and engaging in a few back-and-forth clarifications. Claude efficiently generated an app with features like a search function and separate categories for brain dumps, important notes, and reminders. Following minor adjustments, the app was fully functional, allowing for easy access through a public URL. The author praises Claude as the best AI for coding, highlighting the ease of creating a tailored app without coding experience. This experience signifies the remarkable advancements in AI related to app development, inspiring them to consider future projects.

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Gemini Code Assist, Google’s AI-driven coding assistant, has recently undergone significant enhancements through its integration with the Gemini 2.5 model. This upgrade allows for improved coding suggestions, better handling of complex issues, and in-depth analysis of code changes. Notable new features include the ability to create custom commands for repetitive tasks, setting “Rules” for consistent code generation, and including entire folders in prompts for more relevant responses. The introduction of a Context Drawer enables users to manage active files and folders easily, enhancing focus during conversations. Additionally, the platform supports multiple chat sessions, allowing users to tackle various coding problems simultaneously without losing context. Gemini Code Assist is accessible for free to individual users via Visual Studio Code and JetBrains IDE extensions, making it available to both individuals and businesses.

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