Applications based on LLMs are evolving & the next step in this progression of AI Agents are Agentic Applications. Agentic applications still have a Foundation Model as their backbone, but have more agency.

Agentic applications are AI-driven systems designed to autonomously perform tasks and make decisions based on user inputs and environmental context.

These applications leverage advanced models and tools to plan, execute, and adapt their actions dynamically.

By integrating capabilities like tool access, multi-step reasoning, and real-time adjustments, agentic applications can generate and complete complex workflows and provide intelligent solutions.

I must add that while many theories and future projections are based on speculation, I prioritise prototyping and creating working examples. This approach grounds commentary in practical experience, leading to more accurate future projections.