We are moving from "Generative AI" that just talks, to "Agentic AI" that actually does things. An Agent uses an LLM as a reasoning engine to execute tasks, browse the web, or query a database.
The Core Difference: Agency
Standard LLMs are passive. Agents are active. When you ask an agent to "book a flight," it doesn't just write a poem about planes—it actually queries the airline API, checks availability, and confirms the booking.
"Agents are digital employees that can plan, critique their own work, and iterate until the goal is achieved."
Use Cases for SaaS:
- Customer Support: Agents that issue refunds directly in the database.
- Data Analysis: Agents that generate SQL queries to answer plain-english questions.
- Coding Assistants: Agents that write, test, and debug code autonomously.
