Dictionary
AI Agent
An autonomous AI system that plans and executes multi-step tasks.
1 min readupdated 2026-06-17
/ quick answer
An AI Agent is a software system powered by an LLM that can perceive a goal, plan steps, call tools, and iterate until the goal is met — without a human in the loop on every step. An autonomous AI system that plans and executes multi-step tasks.
An autonomous AI system that plans and executes multi-step tasks. An AI Agent is a software system powered by an LLM that can perceive a goal, plan steps, call tools, and iterate until the goal is met — without a human in the loop on every step. In practice: A research agent receives 'find top 10 competitors of Notion', searches the web, scrapes pages, deduplicates results, and outputs a structured report. This dictionary node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Definition
An AI Agent is a software system powered by an LLM that can perceive a goal, plan steps, call tools, and iterate until the goal is met — without a human in the loop on every step.
Example
A research agent receives 'find top 10 competitors of Notion', searches the web, scrapes pages, deduplicates results, and outputs a structured report.
Related Workflows
Related Tool Stacks
Related Prompts
/ frequently asked
What is AI Agent?
An AI Agent is a software system powered by an LLM that can perceive a goal, plan steps, call tools, and iterate until the goal is met — without a human in the loop on every step.
What is an example of AI Agent?
A research agent receives 'find top 10 competitors of Notion', searches the web, scrapes pages, deduplicates results, and outputs a structured report.
Why does AI Agent matter for AI and automation?
An autonomous AI system that plans and executes multi-step tasks. It connects to the workflows, prompts and tool stacks linked on this page, so you can move from definition to execution without leaving Onexial.
↳ connected nodes
Workflow↳ linked
Automated Competitor Research
From a product description to a structured competitor matrix in under 10 minutes.
Workflow↳ linked
Automated Lead Qualification & Outreach
Score every new lead and trigger personalized outreach in minutes.
Tool Stack↳ linked
Agent Research Stack
Web-search-enabled agent for autonomous research tasks.
Tool Stack↳ linked
AI SDR & Outbound Sales Stack
Stack that runs lead enrichment, scoring, and personalized outreach end-to-end.
Prompt↳ linked
Competitor Discovery Prompt
Surface and structure direct competitors for a given product.
Workflow↳ linked
Build an MCP Server for Your Internal Data
Expose one internal data source to every AI client via the Model Context Protocol.
Workflow↳ linked
Turn Deep Research Into a Weekly Executive Brief
Use an AI Deep Research agent every Monday to produce a cited market brief in 20 minutes.
Workflow↳ linked
Automate Repetitive Ops Work With a Computer-Use Agent
Replace 5 hours/week of tab-switching with a supervised computer-use agent.
Dictionary↳ linked
AI Voice Agent Latency
AI voice agent latency refers to the delay between a user speaking and an AI voice agent's response, critically impacting the naturalness and effectiveness of real-time voice interactions.
Workflow↳ linked
Telephony AI Voice Integration
Telephony AI Voice Integration is a workflow that connects AI voice agents with traditional phone systems to automate customer interactions, providing scalable and efficient support.
Dictionary↳ linked
AI Voice Agent
An AI voice agent is a software program that interacts with users using natural language spoken input and output, performing tasks or providing information. These agents leverage technologies like Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) to simulate human-like conversations.
Workflow↳ linked
Build AI Voice Agent Customer Support
This workflow outlines the steps to develop and deploy an AI voice agent for automated customer support interactions, from intent recognition to natural language response generation. It aims to reduce agent workload and improve response times for common queries.
Tool Stack↳ linked
AI Voice Agent Development Stack
This stack outlines essential technologies and tools for building and deploying AI voice agents, encompassing speech processing, natural language understanding, and conversational AI frameworks. It provides a foundation for creating intelligent voice interfaces.
Dictionary↳ linked
Text-to-Speech (TTS)
Text-to-Speech (TTS) is a technology that converts written text into spoken words, allowing digital devices to vocalize content. It is a fundamental component of AI voice agents, screen readers, and navigation systems.
Workflow↳ linked
AI Voice Agent Onboarding Automation
This workflow outlines how an AI voice agent can automate parts of the customer or employee onboarding process, providing personalized instructions, answering FAQs, and collecting initial data. It improves efficiency and ensures a consistent onboarding experience.
Tool Stack↳ linked
AI Voice Assistant Stack
This stack outlines the core technologies for building personal or enterprise AI voice assistants, integrating components for speech recognition, natural language processing, and task execution. It supports intelligent, conversational interfaces for various applications.
Dictionary↳ linked
Automatic Speech Recognition (ASR)
Automatic Speech Recognition (ASR) is a technology that converts spoken language into written text, acting as a core component for voice assistants, dictation software, and transcription services. It enables machines to understand human speech.
Workflow↳ linked
AI Voice Agent Patient Intake
This workflow details using an AI voice agent to automate initial patient intake processes in healthcare, including collecting demographic information, symptom pre-screening, and scheduling appointments. It streamlines administrative tasks and improves patient flow.
Dictionary↳ linked
Token Budgeting
Token budgeting is the strategic allocation and management of token usage within large language model (LLM) operations to control costs and optimize performance.
Workflow↳ linked
Optimize AI Agent Token Costs
This workflow outlines steps to systematically analyze, reduce, and manage token consumption for AI agents, ensuring cost-effective operation.
Dictionary↳ linked
AI Cost Control
AI cost control is the practice of monitoring, analyzing, and managing the financial expenditures associated with developing, deploying, and operating artificial intelligence systems.
Workflow↳ linked
Multi-Agent Customer Support
This workflow outlines how CrewAI can be used to build a multi-agent customer support system that automates inquiry routing, resolution, and escalation, improving response times and customer satisfaction.
Tool Stack↳ linked
AutoGen Agent Research Stack
This stack outlines the core components for building an autonomous research agent system using AutoGen, focusing on dynamic information retrieval, analysis, and report generation.
Dictionary↳ linked
CrewAI Framework
CrewAI is a framework for orchestrating role-playing autonomous AI agents, enabling them to collaborate, delegate, and execute tasks as a team. It focuses on clearly defined roles, tasks, and a shared goal to build highly collaborative AI systems.
Dictionary↳ linked
AutoGen Framework
AutoGen is a framework from Microsoft that enables the development of multi-agent conversation systems, allowing agents to communicate, negotiate, and collaborate to achieve complex tasks through dynamic dialogue.