Definition:AI Agent
An AI Agent is an autonomous system powered by an LLM that can reason, plan multi-step actions, and invoke tools to achieve defined goals.
Detailed Technical Explanation
Business Perspective
AI agents automate complex multi-step enterprise workflows without requiring continuous human intervention.
Technical Perspective
Integrates tool-calling APIs, vector memory, schema validators, and guardrails to prevent execution loops.
Real-World Example
An AI agent receiving a customer refund request, querying the ERP database, verifying policies, and executing the refund API.
Common Architectural Mistakes
- ✗Infinite Execution Loops: Failing to set max iteration limits on agent reasoning loops during failed tool calls.
Ecosystem Integration
Engineering Services & Solutions
Technology Hub
Frequently Asked Questions
How do AI agents differ from chatbots?
AI agents autonomously invoke API tools and execute multi-step database actions, rather than just returning text.
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Related Glossarys
Large Language Model (LLM)
A Large Language Model (LLM) is an artificial intelligence model trained on vast text data to process and generate human language.
Model Context Protocol (MCP)
Model Context Protocol (MCP) is an open protocol standard that enables AI models to connect securely to local data sources and tools.
Caching
Caching is the practice of storing copies of data in high-speed temporary storage to fulfill subsequent requests faster.
Container Orchestration
Container Orchestration is the automated management, deployment, auto-scaling, and networking of multi-container application workloads.
Containerization
Containerization is an OS-level virtualization method that packages an application and all its dependencies into an isolated container image.
ETL (Extract, Transform, Load)
ETL is a data integration pipeline process that Extracts data from sources, Transforms it into target schema, and Loads it into warehouses.