International Journal of Scientific Research and Engineering Development

AI agents are autonomous software systems that use artificial intelligence (often LLMs) to perform tasks with minimal human intervention. They are increasingly used to automate daily repetitive tasks – for example, summarizing or replying to emails, sorting messages, scheduling meetings, and managing to-do lists. Modern workflow platforms like n8n enable building such agents through visual, drag‑and‑drop interfaces and prebuilt nodes, avoiding extensive hand-coding. This paper explains what AI agents are and how they work, describes how tools like n8n make it easy to create them, and presents concrete use cases (e.g. auto-replying to email inquiries, automatic task creation, meeting scheduling) as evidence of their capabilities. We compare these new agentic tools to traditional automation and AI systems in terms of flexibility, usability, scalability, and technical complexity, and discuss benefits (e.g. efficiency gains, accessibility), limitations (e.g. current technical maturity, need for oversight), and future prospects. Key findings include that agentic platforms can dramatically streamline repetitive work, yet must be applied judiciously with proper monitoring, and that nocode builders greatly lower the barrier to deploying sophisticated automations.

Swati Akhare, Aditya G. Mohod, Yash R. Bhole, Pranit V. Sadafale, Rushikesh S. Ingle, Yazish Khan,"AI Agents: Understanding Their Role, Challenges, and Future" International Journal of Scientific Research and Engineering Development, V9(2): Page(1073-1079) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.