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Updated October 2026 · 8 min read · for beginners, builders & business owners

What is agentic AI? Definition, examples and how it differs from generative AI

Everyone says "agentic" now. Here is what it actually means, shown with a side-by-side comparison you can click, the 5 levels of AI autonomy, and the business tasks where agentic AI is already something companies pay for every month.

Jarvy, AI teacher at UpsellConnect

Jarvy, your teacher on this page. Jarvy teaches people how to make money with AI by building and selling AI agents to real businesses.

The short answer

Agentic AI is AI that can pursue a goal on its own: it plans the steps, uses tools (calendar, email, CRM, browser), checks the result and tries again, and asks a human only when it is unsure. Generative AI makes something when you ask. Agentic AI gets a job done. Gartner listed agentic AI as its number one strategic technology trend for 2025, and it has been the main AI topic for businesses since.

How agentic AI works: the agentic loop

A language model is the brain. What makes it agentic is the loop around it: it keeps going until the goal is reached.

1. Goal

"Book every missed caller into a free slot."

2. Plan

Breaks the goal into steps and decides what to do first.

3. Act

Uses tools: sends a text, reads the calendar, updates the CRM.

4. Check

Looks at the result. Did the customer reply? Is the slot still free?

5. Learn

Remembers what happened and adjusts the next step.

Agentic AI = model + goal + tools + memory + a loop (with a human handoff)

Generative AI vs agentic AI: the same task, side by side

Pick a task. Generative AI gives you something to use. Agentic AI does the work. Two of these are agents local businesses pay for.

Generative AI

Writes a friendly reply you could send to the patient who called. You still have to read it, open the calendar and book the slot yourself.

Agentic AI

Sees the missed call, texts the patient, checks free slots in the calendar, books the appointment, sends a reminder and hands off to staff if the question is medical.

Detect missed call → Text the patient → Check calendar → Book + remind

This is the kind of agent a dental clinic pays for every month: missed calls are missed patients.

See how an agent like this is built and sold →
Generative AIAI agentAgentic AI
What it isA model that creates contentOne system that perceives and actsThe approach of building AI that acts autonomously towards goals
Starts whenYou write a promptA trigger or a requestA goal is set, then it keeps going
Uses toolsNo (or one at a time)YesYes, several, chosen by itself
Multi-stepNoSometimesYes: plans, acts, checks, repeats
ExampleWriting an emailA booking botA team of agents running lead intake to booked visit

The textbook view of agents (sensors, actuators, PEAS) is in intelligent agents in AI. Where rules-based tools stop and agents start: AI agents vs automation.

The 5 levels of AI autonomy

"Agentic" is not on or off. It is a ladder. Tap a level to see what the AI does and what is left for you.

Level 3 · Agentic workflow

Gets a goal, plans the steps, uses several tools, checks its own work and asks a human only when unsure.

You set goals and approve edge cases.

Level 3 is where most paid business agents sit today: useful, reliable enough, with a human safety net.

Watch Jarvy build a level 3 agent →

Level 4 is covered in depth in multi-agent systems.

The 4 agentic design patterns

AI researcher Andrew Ng popularised the term "agentic workflows" and grouped them into four patterns. Almost every agentic system combines them.

1

Reflection

The AI reviews its own output and improves it before it acts.

Checks a reply before sending
2

Tool use

It calls tools: search, calendar, CRM, payments, code.

Books a real slot
3

Planning

It splits a goal into steps and decides the order.

Intake, quote, booking
4

Multi-agent

Several agents with roles work together and hand off.

Sales agent + support agent

Which frameworks people use to build these: AI agent frameworks. Step-by-step: how to build AI agents.

Quick check: agentic or not?

You ask a chatbot to write an Instagram caption and copy it yourself.

An AI notices a missed call, texts the caller, finds a free slot and books the appointment.

A rule sends the same "thanks for your order" email every time someone buys.

An AI researches 20 competitors, notices two websites failed to load, retries them and writes a report.

Your score4 / 4

You can spot agentic AI like a builder. The free training shows how to build one a business pays for.

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8 examples of agentic AI in business

The first four are what small AI agencies sell to local businesses. The rest are bigger company use cases.

Agentic workflowGoalTools it uses
AI receptionistAnswer and book every enquiryWhatsApp, web chat, calendar
Missed-call text-backNo lost callersPhone system, SMS, calendar
Lead follow-up agentReply to every lead within a minuteForms, SMS, CRM
Review and reactivation agentMore reviews, more repeat visitsCRM, WhatsApp, review links
Customer support agentSolve tickets, escalate the hard onesHelp desk, knowledge base, order system
Research agentA sourced report on a topicWeb search, browser, documents
Coding agentFix a bug or ship a featureCode editor, terminal, tests
Finance back-office agentInvoices matched and chasedInbox, accounting software

20 more, sorted by industry: AI agent examples. The basics of agents themselves: what are AI agents.

Agentic AI on the phone: AI voice agents answer calls, book appointments and hand over to staff.

How people make money with agentic AI

Big companies build agentic AI in-house. Local businesses can't, and they have the same problems: missed calls, slow replies, no-shows. That gap is the opportunity behind an AI agency.

  1. Pick one costly task in one niche, like missed calls at dental clinics.
  2. Build a level 3 agentic workflow with no-code tools, with a human handoff.
  3. Run a short paid pilot and measure one number, like bookings.
  4. Charge a setup fee plus a monthly retainer to keep it running and improving. See AI agent pricing.

What you earn depends on your niche, your prices and how many clients you sign. These steps are a method, not a promise of income.

Watch Jarvy do this step by step →
3 jobs local businesses pay an AI agent to doFrom lesson 2 of the free course

Watch Jarvy build an agentic workflow that does real work for a business

Free training, in English, about 45–60 minutes: an agent that takes real actions, how to price it as setup + retainer, and how to find the first clients. No coding background needed.

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Questions

What is agentic AI in simple terms?

Agentic AI is AI that works towards a goal on its own: it plans the steps, uses tools such as a calendar, email or a CRM, checks the result and adjusts, with a human stepping in only when needed. Generative AI makes content; agentic AI gets a task done.

What is the difference between agentic AI and generative AI?

Generative AI creates text, images or code when you prompt it, and then stops. Agentic AI uses a generative model as its brain but adds goals, memory, tools and a loop, so it can take actions and finish multi-step work without a prompt for every step.

What is the difference between agentic AI and AI agents?

An AI agent is one system that perceives and acts. Agentic AI is the broader approach: designing AI so it behaves autonomously, from a single agent with tools to a team of agents working together in a multi-agent system.

Is ChatGPT agentic AI?

A plain chat conversation is generative AI: it answers and waits. When a model is connected to tools and allowed to take actions in a loop towards a goal, for example browsing, booking or sending messages, it is being used agentically.

Can you make money with agentic AI?

Yes, mainly by building agentic workflows for businesses that lose money on slow, repetitive tasks, such as missed calls or slow lead follow-up, and charging a setup fee plus a monthly retainer. Results depend on your niche, pricing and how many clients you sign; this is a method, not a promise of income.

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