AI Agent
An AI agent is a system where a model chooses actions (tools) in a loop until a job is done or a budget is hit — not a single chat completion.
In depth
Tools are functions: search, send email, update CRM. The model decides which to call. That is power and risk.
Production bar: allowlisted tools, scoped credentials, timeouts, token budgets, logs, and approval on irreversible writes.
Multi-agent setups are usually premature. See AI agents MVP.
Real example
“Qualify this inbound” → agent reads the email, looks up the company, drafts a reply — human hits send.
Tools & calculators
Related terms
RAG (Retrieval-Augmented Generation)
Retrieval-Augmented Generation (RAG) is a pattern where the system searches a document store, then asks an LLM to answer using the retrieved chunks — ideally with citations.
Prompt Injection
Prompt injection is an attack where untrusted input (user text or a retrieved document) overrides or subverts the system instructions given to an LLM.
MCP (Model Context Protocol)
Model Context Protocol (MCP) is an open standard for exposing tools and data to AI clients (IDEs, agents) through a consistent server interface.
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