Vertical AI Agents and Agentic System Design Patterns
How LLM-powered 'vertical' AI agents - specialised to a single industry domain - are structured and deployed, contrasted with generalized horizontal SaaS. Covers the core modules of an LLM agent (Memory for continuity and context, a Reasoning Engine, Cognitive Skills for task-specific inference, and Tools for external interaction), the distinction between an agent and a fixed LLM workflow, and a taxonomy of agentic systems into task-specific agents, multi-agent systems, and human-augmented agents. Introduces the Cognitive Skills Module as a reusable, domain-specific building block for standardizing vertical-agent design.
Agentic Systems: A Guide to Transforming Industries with Vertical AI Agents Fouad Bousetouane1,2
An expository guide (a comprehensive introduction, with a table of contents, definitions, and worked categories) to agentic systems and 'vertical' AI agents - LLM-powered agents specialised to a sing…