Define Agentic: What the Word Means and a Three-Question Test

Agentic means having agency: able to act toward a goal on your own behalf, or on someone else's. Applied to software, a system is agentic to the degree that a model, not code you wrote, chooses the next step: it takes a goal, picks which tool to call, and loops until it decides the job is done. It is a spectrum rather than a label, and the word is decades older than AI.

The definition to keep, and the test that goes with it

An agentic person sets goals and acts on them without waiting for direction. An agentic system is one where the model decides what to do next, can do it through tools, and keeps going until it recognizes a stop condition.

To tell how agentic a tool is, ask three questions about one run:

1. Who chooses the next step? If code fixes the sequence and the model fills in text at fixed points, the code is in charge. If the model reads the situation and picks the next action, the model is in charge.
2. Can it act? A model that only returns text is advising. A model that can run a query, send a message or edit a file is acting.
3. Does it loop until it decides it is done? One pass and a stop is a pipeline. Observe, act, observe again, and stop when the goal is met or a budget runs out, is an agent loop.

Three no answers describe a script or a single prompt. If the code chooses and the model writes, you have a workflow, low on the spectrum. If the model chooses, acts and loops, you have an agent. Anthropic's engineering guide from December 2024 draws the same line: "Workflows are systems where LLMs and tools are orchestrated through predefined code paths. Agents, on the other hand, are systems where LLMs dynamically direct their own processes and tool usage". Simon Willison's September 2025 version fits in one sentence: "An LLM agent runs tools in a loop to achieve a goal."

What the dictionaries say, and why the word is older than the hype

Yes, agentic is a real word. Merriam-Webster defines it as "capable of achieving outcomes independently" or "having agency", from the noun agent plus the suffix -ic. Its history note: chemists used it in the 1800s for chemical agents in reactions, psychologists and sociologists picked it up in the second half of the 1900s, and in AI it "has been used since the 2010s, gaining prominence in 2024". Dictionary.com puts the AI sense first, "capable of acting independently to accomplish a goal or task; acting like a human agent", and the human sense second, "focused on one's own goals and acting independently to set and achieve them".

The psychology sense carries a twist that explains the AI sense. Albert Bandura's 2001 review, Social Cognitive Theory: An Agentic Perspective, includes among its modes of agency "proxy agency that relies on others to act on one's behest to secure desired outcomes". Both meanings live inside the word agent: one who acts, and one who acts for someone else. Agentic software is meant to be both at once. OpenAI's April 2025 builder guide says it plainly: "Agents are systems that independently accomplish tasks on your behalf."

“

A system is agentic to the degree that the model, not your code, chooses the next step.

”

The definition that circulates in AI, and what it misses

Vendor pages converge on autonomy. IBM has "an artificial intelligence system that can accomplish a specific goal with limited supervision"; AWS has "an autonomous AI system that can act independently to achieve pre-determined goals". Neither is wrong. They miss two things.

First, they read as a yes or no, and the adjective was adopted to avoid exactly that. Andrew Ng wrote in The Batch on June 12, 2024 that it is "more useful to think of systems as being agent-like to different degrees", with "a gray zone between what clearly is not an agent (prompting a model once) and what clearly is". Most of what a solo builder ships lives in that gray zone; Anthropic's guide calls workflows and agents both "agentic systems".

Second, "autonomous" names an outcome without naming the mechanism. The first question above, who chooses the next step, is the mechanism, and it is checkable from a log. Even experts disagree about the boundary: in MIT Sloan's February 2026 explainer, Sinan Aral reserves "agentic AI" for "systems that incorporate multiple, different agents that are orchestrating a task together", while noting that "most people still refer to the two interchangeably". When a word has no settled boundary, a test beats a label.

The same job at three points on the spectrum

A fictional example with made-up tools: a solo founder wants to know why weekly signups dropped.

A script. A scheduled job runs one SQL query, signups per day for fourteen days, and emails the numbers. No model is involved, nothing is agentic, and nothing is wrong with it.

A workflow. Code runs three fixed queries (by day, by channel, by landing page), pastes the results into one prompt, and the model writes a paragraph explaining the pattern. It runs the same three queries every week, whatever the data says.

An agent. The model receives the goal, three tools and a stop rule:

Goal: explain why signups this week dropped against last week.
Tools: run_query (read-only replica), list_deploys(days), read_changelog(deploy_id).
Method: start from signups by day. Follow what you find.
Stop when one cause is supported by two queries, or after 12 tool calls
with "no cause found in these sources".
Report: the cause or its absence, every query you ran, and what you did not check.

In one run it queries by day, sees the drop begin on Tuesday, lists deploys, finds a Tuesday release touching the signup form, reads its changelog and reports a hypothesis with the two queries that support it. Next week, with a drop spread evenly across days, it takes a different path and may end with "no cause found". The sequence of calls changes with the data.

The verification is the log. Run the same task twice on different inputs and compare the tool calls. Identical sequences mean the code is in charge; a sequence that changes with what the model found means the model is. The stop rule matters as much as the tools: without a budget and an explicit "no cause found" exit, the agent version fails by naming a confident cause the data does not support.

What this changes when you build alone

Pick the lowest degree that does the job. Anthropic's guide recommends "finding the simplest solution possible, and only increasing complexity when needed", and warns that agentic systems "often trade latency and cost for better task performance". A welcome email, a scheduled post, a stock alert: those are triggers with fixed steps, and the four triggers to build first for SaaS marketing automation need no model choosing anything. OpenAI's guide lists "simple chatbots, single-turn LLMs, or sentiment classifiers" as things that "are not agents", and that is a description, not a demotion.

Raise the degree only when the path depends on what the system finds: debugging, research, triage of messy input. Two questions arrive with it. The first is which irreversible actions the loop can reach, and the answer that keeps a one-person operation safe is one job, one exit door, with the dangerous verb performed by a gate rather than by the agent. The second is where the pieces run, since what stays on your machine with a self-hosted AI agent is usually one layer of three: the runtime, the model or the tools.

When a vendor calls a product agentic, ask for the log. Run the demo twice with two different inputs. If the actions are the same both times, you are looking at a workflow with a new adjective, which may be exactly what you want, priced accordingly.

FAQ

Is agentic the same as autonomous? No. Autonomous describes how much supervision a system needs. Agentic describes who chooses the steps. A system can be highly agentic in how it investigates and still pause for your approval before it sends, pays or deletes.

Is a chatbot agentic? A chatbot that answers one message at a time is not. Give it tools, and let it decide when to call them and when to stop, and it moves up the spectrum. The interface stays the same while the control changes.