An MBA student at the Indian Institute of Management Bangalore has shared how artificial intelligence helped him organise assignments, meetings and other commitments more efficiently. Rakshit Ravindranathan said he began using AI after finding it difficult to track information scattered across different platforms. His experience has attracted attention from students and professionals facing similar productivity challenges.

Ravindranathan explained in a LinkedIn post that he once missed an assignment deadline because the relevant information had been communicated through several channels. Deadlines and instructions appeared on WhatsApp, an online portal and other sources, making them difficult to remember consistently. He jokingly added that some details were stored only in his mind, highlighting the risks of relying entirely on memory.

Following that experience, the MBA candidate introduced AI into his daily productivity system. He now uses the technology to record deadlines, identify pending work and organise commitments instead of trying to remember every responsibility himself. The system is intended to reduce the mental burden of constantly tracking tasks while allowing him to focus more closely on completing them.

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Ravindranathan said he uses Anthropic’s Claude as part of his productivity setup and to help organise his calendar. His friends have adopted similar methods using other generative AI tools, including OpenAI’s ChatGPT and Google’s Gemini. Some have also created personalised workflows connected to their calendars, allowing their schedules and task lists to remain aligned with academic or professional commitments.

His post reflects the growing use of AI as a personal organisation assistant rather than only as a tool for generating written content or answering questions. Students can use such systems to consolidate information, structure task lists and plan their time. However, the effectiveness of these workflows still depends on users entering accurate information, reviewing generated schedules and updating the system whenever plans change.

The experience has resonated with social media users, several of whom shared their own methods for managing workloads and deadlines. Ravindranathan’s approach demonstrates how AI can support productivity in an academically demanding environment by bringing scattered commitments into a more organised system. It also highlights a practical lesson: technology can help manage information, but users must continue checking official platforms to avoid overlooking important updates.

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