Streamline content creation using LLM Agents

LLM-based agents are no longer a futuristic concept, they’re already transforming how modern businesses create and deliver value.

In this webinar, Selvaraaju Murugesan, Head of Data Science at Kovai.co, explored how Large Language Model (LLM)-powered agents are redefining the Documentation Development Life Cycle (DDLC).

Drawing from insights in the Gartner Emerging Tech: AI-Enhanced Technical Content, 2024 report, which projects that 40% of enterprise documentation teams will integrate LLM tools by 2026, the session offered a deep dive into practical applications and strategic benefits.

What You’ll Learn:

• What LLM-based agents are, and how they function in documentation workflows
• How they significantly reduce time-to-first-draft
• Ways to eliminate repetitive tasks and overhead in the DDLC
• Real-world examples of LLMs in technical content creation

About the Speaker

Selvaraaju Murugesan received the B.Eng. degree in Mechatronics Engineering (Gold medalist) from Anna University in 2004 and the M.Eng. degree from LaTrobe University, Australia, in 2008. He has received his Ph.D. degree in Computational mathematics, LaTrobe University. He is currently working as a Head of Data Science at SaaS startup Kovai.co. His interests are in the areas of Business Strategy, Data Analytics, Artificial Intelligence, and Technical Documentation.