Agentic AI Glossary
Plain-English definitions for the terms that show up in AI agent builds, workflow automation, and agentic systems. No marketing language. Just what the thing is and when it matters.
These definitions come from real builds. Every term here is something I have implemented, debugged, or explained to a client in the last year. If a term is on your radar and not in this list, it is either a vendor invention or something I have not shipped yet.
Looking for how to build rather than what things mean? Start with the how-to guides. For implementation blueprints and schemas, go to systems. If you want the full picture of how these pieces fit together, read about agentic AI implementation.
Key concepts, architectures, and practices for building autonomous AI systems that multiply human capability. Definitions grounded in real-world deployment experience.
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Agentic AI Systems Architect
RoleDefines and deploys autonomous AI systems that plan, execute, and coordinate complex workflows across tools and APIs with minimal human intervention.
Tool-Calling Agents
PatternLLM agents that invoke external functions, APIs, and services during reasoning to retrieve data, modify state, or perform actions beyond text generation.
Custom Agent Shell
ArchitecturePurpose-built framework wrapping LLMs with memory, tool registries, permission systems, and execution loops for domain-specific autonomous operation.
Personal Agent Infrastructure
PlatformPrivate, self-hosted systems enabling individuals to deploy autonomous agents with memory, tool access, and persistent identity across sessions.
Agent Memory Layer
ComponentPersistent storage and retrieval systems enabling agents to recall past interactions, learn from outcomes, and maintain context across long-running processes.
Workflow State
ConceptThe representation of an autonomous process's current status including pending actions, completed steps, data dependencies, and next decision points.
Business AI Agents
ApplicationAutonomous or semi-autonomous systems deployed in commercial settings to execute tasks like lead qualification, CRM updates, document processing, and exception handling.
Human Capability Multiplication
PrincipleThe strategic amplification of human effectiveness through AI systems that remove repetitive work, preserve human judgment for exceptions, and scale individual output.
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