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Terms related to AI agents, tool use, workflows, automation, and autonomous systems.
An action is a specific operation performed by an AI agent or automation after a trigger or decision.
Actions are the work carried out by automation.
Clearly defined actions make workflows reliable.
An agent creates a calendar appointment after confirming availability.
An AI agent is a software system that can perceive information, make decisions, and perform actions to achieve specific goals.
An AI agent can think about a task and act on it.
AI agents automate complex work that normally requires human judgement.
An AI travel assistant books flights, hotels, and transport automatically.
An automation rule specifies when and how an automated action should occur.
Rules determine when automation is triggered.
They make workflows predictable and reliable.
An email is automatically archived when it meets specified conditions.
An autonomous agent performs tasks independently with minimal human intervention.
It can work on its own after receiving a goal.
Autonomous systems increase efficiency for repetitive or complex work.
An inventory agent automatically reorders stock.
Conversation state is the information an AI agent keeps about the current interaction so it can respond consistently.
It helps an AI remember the current conversation.
Maintaining state improves coherent multi-turn interactions.
A support agent remembers the product being discussed.
A decision node is a point in a workflow where different actions are selected based on conditions or AI reasoning.
Decision nodes allow workflows to branch.
They make automation more flexible.
An invoice above a threshold is routed for manager approval.
Function calling enables AI models to invoke predefined software functions during a conversation.
It lets AI trigger software actions.
Function calling connects AI with applications.
An AI creates a calendar event using a calendar function.
A goal is the desired outcome an AI agent attempts to achieve.
Goals guide agent behaviour.
Well-defined goals produce better decisions.
An AI assistant aims to schedule all meetings without conflicts.
Human approval requires a person to review or authorise an AI-generated action before it is completed.
People remain responsible for important decisions.
Human approval improves trust and accountability.
An AI drafts a contract but a lawyer approves it before sending.
Long-term memory stores information that an AI agent can use across many sessions.
It allows AI to remember over time.
Persistent memory improves continuity.
A tutoring agent remembers a learner's progress between lessons.
Memory enables an AI agent to retain relevant information across tasks or conversations.
Memory helps AI remember important details.
It creates more personalised and coherent interactions.
An AI remembers a user's preferred writing style.
A multi-agent system consists of two or more AI agents working together to solve problems.
Multiple agents cooperate to complete larger tasks.
Specialised agents often outperform one general agent.
Separate research and writing agents collaborate on a report.
Orchestration coordinates multiple AI components, tools, or agents so they work together efficiently.
Orchestration manages complex AI workflows.
It supports scalable automation.
Several specialised AI agents collaborate to complete a customer request.
Planning is the process of determining the sequence of actions required to achieve a goal.
Planning allows AI agents to solve multi-step problems.
It enables autonomous decision-making.
An AI creates a project schedule before assigning resources.
Short-term memory contains information used during the current interaction or task.
It stores temporary working information.
It helps maintain coherent conversations.
An AI remembers earlier questions during one chat session.
A task is a specific piece of work assigned to an AI system or agent.
Tasks define what an AI should accomplish.
Clear tasks improve AI performance.
Summarising a report is a task.
Tool use allows AI systems to interact with external software, databases, or APIs while completing tasks.
AI becomes more capable when it can use tools.
Tool use connects language models with real-world systems.
An AI queries a weather API before recommending travel dates.
A trigger is an event or condition that starts an automated workflow or AI action.
A trigger tells automation when to begin.
Triggers enable hands-free automation.
Receiving a new email automatically starts a document processing workflow.
A workflow is a sequence of connected tasks performed to complete a process.
Workflows organise tasks into logical steps.
AI improves workflows by automating repetitive activities.
An AI reviews documents before sending them for approval.
Workflow automation uses software to perform business processes automatically.
Automation removes repetitive manual work.
It improves speed, consistency, and accuracy.
Invoices are automatically approved based on predefined rules.
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