Concepts - This section provides foundational definitions, terminology, and conceptual frameworks essential for understanding agentic AI systems
Agent Definition - An AI agent is an autonomous software entity that can perceive its environment, make decisions, and take actions to achieve specific goals
Agent Foundational - Foundational definitions, internal architecture, and core capabilities of AI agents drawn from primary academic and industry sources.
Agent Types - AI agents can be classified based on various characteristics including their capabilities, architecture, and application domains
AI Engineering - AI engineering is the process of building applications on top of readily available foundation models
2026 AI Predictions (You.com Whitepaper) - The central thesis is a shift from Chat-Engines (AI systems you converse with) to Do-Engines (AI systems that autonomously complete tasks end-to-end)
Foundation Models - Foundation models are large-scale AI models trained on broad data that can be adapted to a wide range of downstream tasks
References - - "Intelligent Agents: Theory and Practice" - Wooldridge & Jennings (1995)