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Agentic AI

Also known as: AI agent, autonomous AI.

Last updated: May 24, 2026

What is Agentic AI?

Definition

Agentic AI refers to AI systems that take multi-step actions toward a goal — choosing tools, calling APIs, browsing the web, writing files — rather than just answering a single prompt. An AI agent breaks a high-level goal into sub-tasks, executes each, and adjusts based on results.

In plain English

A regular chatbot answers your question and stops. An AI agent receives a goal like 'research the top 5 competitors in X market and write me a summary', then on its own: searches the web, opens relevant pages, extracts key facts, writes the summary, and possibly creates a slide deck. Agentic systems in 2026 are reliable for well-scoped tasks (multi-step research, code refactoring across files, scheduled monitoring) and increasingly used in production, though they still require human review for high-stakes work.

Example

A user tells an AI agent 'monitor my competitor's pricing pages weekly and alert me when anything changes'. The agent navigates to each page, captures the price, stores it, compares against last week, and emails the user if anything moved. All from a single goal statement.

Agentic AI in Vincony

Vincony's Agent Workflows let you compose multi-step AI agents from chat, search, web actions, and other tools. The platform handles scheduling, retries, and notifications.

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