Glossary
AI Agent
An AI-powered system that can interpret requests, make decisions, and perform actions using large language models (LLMs). AI agents can hold context, respond intelligently, and interact with tools and data sources.
AI Chain
A structured sequence of calls to LLMs or external resources. AI chains execute logic step-by-step but do not retain memory across executions. Use AI agents for persistent conversations.
AI Embedding
A numerical vector representation of data that captures its meaning and relationships. Used to power search, recommendation, and similarity logic in AI. Stored and queried using vector databases.
AI Memory
Enables stateful conversations with AI by remembering past interactions. Essential for multi-step or context-aware tasks. Available in AI agents, not AI chains.
AI Tool
A functional resource the AI can call during execution. Tools can include APIs, databases, or logic modules—used for extending an agent’s capabilities.
AI Vector Store
A database designed to store and retrieve embeddings—useful for tasks like semantic search or similarity comparison.
API (Application Programming Interface)
A programmatic interface to a service or application. APIs allow workflows to send and receive data without human interaction.
Canvas
The visual interface where you build workflows. Nodes are added, connected, and configured directly on the canvas.
Cluster Node
A modular component composed of a root node and one or more sub nodes. Used for grouped or extended logic blocks.
Credential
Secure authentication information (like API keys or tokens) that allows workflows to connect with external apps or services.
Data Pinning
Freezes the output of a node for testing. Prevents repeated external calls and lets you debug with consistent, mockable data. Ignored during live (production) runs.
Editor
The full visual interface for creating workflows. Includes the canvas, node settings, execution logs, and controls for variables, credentials, templates, and more.
Entitlement
Access rights tied to a subscription or plan. May be used to unlock premium or restricted features within Autom8 AI.
Evaluation
The process of comparing execution outcomes over time. Used to measure workflow performance, especially for AI-driven logic.
Expression
A dynamic value written in JavaScript-like syntax to pull in data from other nodes, environment variables, or runtime context.
LangChain
A popular open-source framework for building AI apps using LLMs. It connects prompts, models, memory, and tools to build complex AI workflows.
LLM (Large Language Model)
An advanced AI model trained on large datasets to understand and generate human-like text. Powers most AI agents and chains.
Node
A functional unit in a workflow that performs an action, such as fetching data, sending an email, or transforming input. Nodes can act as triggers, processors, or integrations.
Project
A way to group workflows, credentials, and resources for better organization and collaboration across teams.
Root Node
The primary logic unit in a cluster node, extended by one or more sub nodes.
Sub Node
A secondary component that extends the behavior of a root node, typically used in grouped logic structures.
Template
A ready-to-use workflow created to solve common use cases. Templates can be customized with your own data, services, and logic.
Trigger Node
A node that starts a workflow based on specific events or schedules. Required for all production workflows.
Workflow
A visual automation composed of connected nodes. Begins with a trigger and flows step-by-step to complete a task or process.
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