An AI agent is a large-language-model-driven system that goes beyond one-shot Q&A. Agents plan tasks, decide which tool or API to call (search, code execution, database queries, external services), use the results, and iterate until the goal is met or a stop condition triggers.
2026 examples: coding agents that plan a feature, edit files, run tests, and open pull requests. Customer-service agents that classify intent, look up account data, take corrective actions, and follow up. Research agents that browse the web, summarise findings, and produce reports.
Production agents require careful design: bounded tool spaces, timeout and cost limits, human-in-the-loop for high-stakes actions, and robust error handling. Nagro Solutions builds domain-specific agents (legal intake triage, document processing, sales research) with guardrails scoped to the client's risk tolerance.