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Global Journal of Engineering and Technology Advances
International Peer reviewed Engineering Journal || Crossref DOI || Impact Factor 8.6 || ISSN: 2582-5003

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Research & review articles are invited for publication in September 2026 (Vol. 28, Issue 3) || Submission: up to 28th September || Editorial decision: within 48 hrs.

AI agents and workflow automation: optimizing daily life for efficiency and personal growth

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  • AI agents and workflow automation: optimizing daily life for efficiency and personal growth

Bhupender Kumar Panwar *

Salesforce Inc., USA.
 
Research Article
Global Journal of Engineering and Technology Advances, 2025, 23(01), 169-177.
Article DOI: 10.30574/gjeta.2025.23.1.0093
DOI url: https://doi.org/10.30574/gjeta.2025.23.1.0093
Received on 07 March 2025; revised on 14 April 2025; accepted on 16 April 2025
 
Artificial Intelligence agents are revolutionizing personal productivity by transforming how individuals manage daily workflows. This article explores the technical underpinnings of AI-driven automation systems that optimize routine tasks across communication, scheduling, finance, and learning domains. By examining the architecture, implementation strategies, and advanced applications of these intelligent assistants, we demonstrate how human-AI collaboration creates a symbiotic relationship that not only enhances efficiency but also promotes personal development. The integration of predictive algorithms, natural language processing, and behavioral pattern recognition enables a new paradigm where technology serves as both facilitator and partner in achieving a more balanced, creative, and fulfilling lifestyle in our increasingly complex digital environment.
 
Workflow Automation; Artificial Intelligence Agents; Personal Productivity; Human-AI Collaboration; Cognitive Optimization
 
https://gjeta.com/sites/default/files/fulltext_pdf/GJETA-2025-0093.pdf

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Bhupender Kumar Panwar. AI agents and workflow automation: optimizing daily life for efficiency and personal growth. Global Journal of Engineering and Technology Advances, 2025, 23(1), 169-177. Article DOI: https://doi.org/10.30574/gjeta.2025.23.1.0093

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