What is
AI Agent?
An LLM-powered system that autonomously chooses tools and takes multi-step actions.
Definition
An agent is an LLM that can plan, choose from a toolbox of functions, execute calls, observe the results, and decide the next step. Agents are useful when a task requires more than one model call — looking up data, calling APIs, writing files, or coordinating sub-tasks. The risk is unbounded behavior; production agents need structured outputs, strict tool schemas, retry logic, and guardrails.
Example
A research agent that takes a topic, queries the web, summarizes 10 sources, and writes a structured report — making about 30 tool calls along the way.
How Vedwix uses AI Agent in client work
We rarely ship "open-ended" agents. Most of our production agents are constrained workflows with explicit tool sets and observability.
We ship this.
If you're building with AI Agent in production, we can help — from architecture review to full implementation.
Brief us