Agentic AI Essentials: Build a Marketing Campaign Agent

Meet the AI Agent That Moves Work Forward

AI agents have become one of the most talked-about ways to use AI. For a small business, the more useful question is what an agent could take off your plate — and whether you need technical experience to build one.

Good news: the most important starting point is your business knowledge. Many no-code AI builders let you create an agent through plain-language instructions and visual controls. You describe the job, connect the tools your business uses, and decide which actions stay under your approval.

This course turns that possibility into a practical system. Each lesson focuses on a common business case and guides you through building an agent for it. You'll learn how to give every agent a clear job and trustworthy information. You'll also connect the tools, set approvals, and test the workflow.

By the end of the course, these agents will form your AI-powered business system. You’ll keep strategy, judgment, and important decisions, while your agents carry the recurring operational work forward. In this lesson, you’ll build a Marketing Campaign Agent that notices important business signals, checks whether they create a useful opportunity your business can act on, and prepares a marketing campaign proposal for your review. You’ll also know how to take this agentic flow further and teach your agent to prepare and run the campaign under your review.

Why Use an AI Agent?

In this lesson, you'll build an agent for one of the most common business cases: spotting timely business opportunities and preparing marketing campaigns. Let’s see how it can make these jobs easier.

An AI agent is useful when you want AI to move the work forward and take the next step. In a regular AI chat, you usually carry out the next step yourself. With an agent, the system can take the next approved step for you.

Behind every AI agent is an LLM, or large language model. It’s the language-and-reasoning engine. While in a regular chat, it can explain, analyze, or create a draft. You use that answer and complete the work yourself in the business tools.

Within an AI agent it reasons, then adds instructions, business information, tools, and a way to track progress. It can check the current situation, choose an allowed next step, and take action until the job is finished or your judgment is needed.

Some AI platforms — including general-purpose AI workspaces, coding environments, and automation platforms — combine chat, rule-based automation, and features for building and running agents. The practical difference is how the work is set up. In chat, you usually direct each step. A rule-based automation follows steps and conditions defined in advance. An agent has a saved job, tools, and permissions and can choose the next step among the approved ones based on what it finds.

A rule-based automation repeats the same defined action whenever its trigger occurs. An agent is useful when the situation varies, and the right next step depends on what it finds. They can also work together: for example, an automation may start an agent when something changes in the business, and the agent can decide whether the change calls for a marketing response and choose the next permitted step.

How Does an Agent Actually Work?

Unlike a regular chat, where you usually take the answer into your business tools yourself, an agent can work and act through the tools you connect — such as your inbox, calendar, booking system, customer system, and many more.

When the work starts, the agent reads the relevant information, follows the instructions and permissions you set, and takes the next permitted action or pauses for your approval. For example, an agent can notice a change, check the relevant business information, decide whether it is worth acting on, and prepare a marketing proposal for your review.

You set up and manage the agent in an AI or automation platform, but it carries out the job through those connected business tools.

You'll use three common ways to start agent work:

The exact trigger options depend on the builder, integration, and plan you use. In this course, you'll learn two operating modes: starting an agent on request and starting it automatically. A schedule or an event can provide the automatic trigger.

Choose the Right Job For an Agent

Now that you know what separates an agent from an AI chat and rule-based automation, use that distinction to decide which work is worth giving to one. Not every time-saving task needs an agent. The key question is whether the system needs to interpret changing information and choose what should happen next.

• Use an AI chat when you want help with one response and plan to direct the work yourself.
• Use rule-based automation when the same event should always lead to the same action or when the steps and conditions can be defined in advance.
• Use an agent when the input varies, the goal stays the same, but the right next step depends on the situation and the system needs to choose among approved next steps.

For your first agent, you’ll apply this distinction to timely marketing opportunities. A product arrives, capacity opens, or a local moment becomes relevant. By the time you notice it, confirm the details, and think through the marketing, the best window may already be closing.

A strong agent job has a visible business result and enough structure for you to supervise it. Use these five checks to see why marketing opportunities can be a strong agent job — and to recognize other suitable jobs in your business:

• The work repeats
• The route can change
• Trusted information exists
• Actions can be defined
• The finish is clear

That is the job you are about to build: turn a changing business situation into an evidence-based campaign proposal while keeping the final decision under your control.

Choose How You Want To Build

Before choosing a specific builder for your agent, decide how you prefer to set up the agent. There are two common setup methods: you can set up the agent directly on screen, or you describe what you want in text or by voice. Some builders focus on one, while others offer both.

Both paths help you build an agent with a clear job, trusted business information, connected actions, and rules for when it needs your approval. The choice affects how you create and review the initial setup.

Use direct on-screen setup when you want to:

• See and control each instruction, connection, action, trigger, and approval as you add it
• Build and test the setup one part at a time
• Enter precise settings you already know

Use text or voice setup when you want to:

• Explain the job in everyday language instead of assembling every part yourself
• Have the builder turn your description into a first proposed setup
• Start with the complete workflow, then review and refine the details

Whichever method you use, review the instructions, connections, permissions, triggers, and approval points before testing the agent.

Once you know which setup method suits you, compare the builders that support it. The setup method determines how you create and review the agent, while the builder's capabilities determine whether the agent can do the job.

Choose a builder that can:

• Connect to the information and tools the agent needs
• Start the work when you ask or automatically
• Let you control permissions, actions, and approval points
• Show what happened during each run
• Let you test the agent before using it for live work

Your First Agent

Let’s start building your first AI agent. The Marketing Campaign Agent will look for signals in the sources you choose, check whether they create useful opportunities for the business, and prepare a focused campaign proposal you can correct or approve.

By the end of the lesson, you’ll have a working agent that can move one verified opportunity toward an approved campaign direction while keeping final decisions and external actions under your control.

You’ll use this core flow throughout the course:

Define the job and what “done” means → connect trusted information and actions → set permissions, approvals, stop rules, and handoffs → decide where progress is saved → choose what starts the work → test and improve → choose where you will use the agent and move it into supervised use.

Let's first define which opportunities the agent should notice and what makes an opportunity worth acting on.

Turn a Business Signal Into Action

Where Business Opportunities Begin

Signals can come from the world around a business. A nearby festival, an approaching holiday, the first warm weekend of the year, the opening of a new local attraction, or a relevant news story can all make an existing offer especially timely. The agent should use current details from a reliable source and treat the moment as an opportunity only when the connection to the business is genuine.

Other signals come directly from day-to-day operations. After the agent checks them, these moments can become opportunities such as:

• A café can respond to a nearby festival, game day, or seasonal change
• A store can respond when a popular product is back in stock
• A service business can promote newly available capacity
• An appointment-based business can fill newly appeared openings in its calendar

The right marketing response will depend on the opportunity itself. The agent can recommend public content, targeted outreach, an approved promotion, a customer-facing update, or a small combination of these. You’ll still review the complete proposal before it moves forward.

These opportunities begin in different places, but the agent follows the same core path: notice what changed, check whether the business can act on it, choose a suitable marketing response, and bring you a proposal. You’ll build that path step by step.

Decide When an Opportunity Is Worth Acting On

Now decide what the agent should notice and what deserves your attention. You’ll start by choosing the signals that matter to your business, then teach the agent which ones are worth turning into campaign ideas.

A signal is a fact, change, or approaching moment the agent can notice. It might be:

• An upcoming holiday, local event, or relevant news story
• A product returning to stock
• New service capacity or a free appointment
• A seasonal change that affects customer needs
• An idea, link, or update you send to the agent

A signal is only the starting point. It becomes an opportunity when the agent confirms that it is current, relevant to customers, and workable for the business. Put simply: the signal tells the agent what changed; the opportunity explains why it may be worth acting now.

For example, a two-hour appointment opens on Friday. The opening is the signal. If there is enough time to contact eligible customers and the business is ready to take the booking, the chance to fill that opening becomes the opportunity.

Then, the source tells the agent where the signal comes from. The trigger tells it when to check. You’ll choose both on the next page. First, define the checks that turn a signal into an opportunity.

Use four questions to teach the agent what qualifies as a workable opportunity:

• Evidence: Does a trusted source confirm the signal?
• Relevance: Does the signal give this business and audience a useful reason to act now?
• Readiness: Can the business support the product, service, capacity, or appointment being promoted?
• Timing: Is the opportunity still current, with enough time to use it?

The agent can then make one of three decisions:

• Act: The opportunity is workable, so the agent can prepare a campaign proposal.
• No action: The facts are clear, but the signal is irrelevant, repeated, expired, or unsupported by current readiness.
• Send for human review: The opportunity may be useful, but information conflicts or the next decision belongs to you.

No action is a successful finish when it protects your time and prevents unnecessary marketing. The agent records the reason, closes the opportunity, and waits for the next permitted signal.

You have just made this judgment once. Now you’ll turn it into a rule the agent can apply consistently.

Build the Decision Part of Your Agent Instruction

The next rule becomes the decision section of your agent instruction. Complete it now by specifying how long the opportunity remains worth acting on and how the agent should check whether it has already handled the same moment. Later, you’ll add the rule to the full agent setup in your builder. If your builder uses visual conditions, configure the same logic there.

Write the Agent’s Decision Rule

Give the opportunity a clear expiry point. A restock may expire when too little stock remains. A local event expires when there is no longer enough time to communicate usefully. An opening expires when the time or capacity is no longer available.

This rule explains what qualifies. Next, you’ll define where the signal appears, what starts the check, and how the agent continues the same work without creating duplicates.

Give the Agent a Reliable Starting Point

You’ve defined the business decision. Before you write the agent’s full instruction, you’ll define the inputs that make that decision reliable: where the agent looks, what starts the workflow, how it recognizes a repeated opportunity, and where it saves progress.

Capture these decisions in an agent setup plan, which is also called an agent contract. It defines the result the agent should work toward, the information and actions it may use, where your approval is required, when it should hand the work to you, and how it knows the job is finished.

Start with the agent contract: capture the setup decisions. With direct setup, use it to fill in the relevant instructions, sources, actions, approvals, and finish conditions. With text or voice setup, include these decisions in your creation brief and check that the proposed setup matches them.

Your builder may use different names for these settings. For example, information may appear under knowledge or sources, while connected actions may appear under tools or integrations. So, match each decision to what the setting does.

The contract sets the job and its boundaries. Next, give the agent a reliable way to notice when that job should begin.

Choose Where Signals Come From

Your agent needs both a source and a way to check it. Choose the starting route that matches the signal you want it to notice:

Choose one route for the first working setup. Once you have tested it, the same decision and proposal workflow can support other approved sources.

For public events, news, trends, or competitor updates, require the agent to confirm the source, date, location, and relevance. Public competitor information can reveal a useful market moment, but the agent should not copy another business’s content or claims.

Whichever route you choose, the same signal may appear more than once. The next step prevents that repeated signal from creating repeated work.

Help the Agent Avoid Duplicate Work

The same signal may appear more than once. Before creating a new proposal, have the agent check whether it has already saved work for the same product, appointment, event, date, and location. If it finds a match, it should continue the existing proposal or close the repeated signal.

Some business systems already give each product, appointment, or event a unique reference. When the source does not provide one, the agent can save a simple repeatable label using stable details, such as rain-jacket-restock-october-15. Save that reference with the proposal in your existing marketing record or the agent’s saved work.

The purpose is simple: the same opportunity should lead back to the same piece of work.

See How One Opportunity Moves Through the Workflow

Defining an agent's job and boundaries tells it what it may do. To choose the right action at the right moment, it also needs to know how far the current job has progressed.

Some agents finish a task in one run, but some don't. They may ask for information, wait for a reply or approval, and resume when something new happens. For this kind of workflow, you need to define the main stages of the job. That saved stage is the job's state.

Clear states help the agent avoid repeating completed work, skipping a checkpoint, or acting before the required information arrives. Each state connects the current situation to an allowed next step. It tells the agent what has already happened, what it is waiting for, and whether the work should continue, pause, finish, or go to a person.

A builder may track progress while the agent is running. But if the work can pause and resume later, the state needs to be saved somewhere the agent can read again.

For this Marketing Campaign Agent, save the state with the campaign proposal in your existing marketing record or in the builder’s saved work. When the signal appears again, important facts change, or you request a revision, the agent reads the current state and continues the same opportunity instead of starting over.

Your builder may call these saved stages states, steps, or statuses. The label matters less than making sure the agent can continue the same work, respond to your feedback, and stop at the right point.

Your agent now knows where a signal comes from, when to check for it, how to recognize repeated work, and how to carry one opportunity through the workflow. Next, you’ll define what it should propose after the opportunity qualifies.

Match the Marketing Response to the Opportunity

The agent can now find and track an opportunity without duplicating the work. The final design question is what it should propose after the opportunity passes the quality check.

Before the agent prepares a proposal, give it the approved marketing guidance it should work from: who the campaign may address, which responses and channels it can recommend, how your business communicates, which offers and claims are approved, and what action customers should take.

This guidance keeps the agent grounded in your business without forcing every opportunity into the same campaign. The agent first recommends the response that best fits what it found, then builds the proposal around that choice.

One opportunity may need only one response; another may benefit from a small combination. Choose the fewest responses that can use the moment effectively.

The agent may use only promotions already approved by the owner. If the campaign would require a new price, discount, bundle, offer, claim, or targeting decision, it sends that choice to Human review.

Once the agent has selected a suitable response, it can turn that direction into a proposal you can evaluate.

Have the agent prepare one campaign proposal containing:

• The verified opportunity, reason to act now, and expiry condition
• The recommended response and why it fits
• The campaign goal, eligible audience, central message, and call to action
• The suggested channels and timing
• Content ideas when public content is part of the response
• The materials or actions that would be needed next

Any selected responses should work together as one campaign. Each one may play a different role while the audience, facts, offer, and call to action remain aligned.

Before the proposal moves to review, the agent checks that its facts are current, its claims come from approved business information, and its suggested audience follows the business’s eligibility and opt-out rules.

You’ve now defined every part the builder needs: the signal source, decision rule, saved stage, approved marketing guidance, possible responses, and review boundary. Let’s bring those parts together in your agent builder.

Assemble the Agent in Your Builder

Now bring the parts you’ve defined into one complete setup in the builder you chose earlier. Start with the information and connections the agent needs.

Connect the Information the Agent Needs

A prompt tells the agent what to do. Connections let it reach current information and save its work. For this first version of the Marketing Campaign Agent, connect or authorize the source it will read or monitor, the place where it will save the proposal, and the channel it will use to request your review.

If the agent needs to monitor the web, confirm that your tool supports web access and turn that access on. Then give the agent a specific monitoring task: what to look for, which sources to use, which location or topic matters, how current the information must be, and when to run the check. Approved sources might include:

• Official event calendars
• Local government, tourism, or business-association websites
• Public weather services
• Relevant local news or industry publications
• Public competitor websites or social profiles selected in advance
• Business-approved trend or search sources

If your tool cannot run scheduled checks, start the monitoring task yourself when you need it. Connections to social, email, messaging, website, or commerce tools are only needed if you later extend the agent into campaign production or delivery.

Now use the setup method you chose earlier in this lesson. Both routes create the same workflow — the difference is whether you enter each setting yourself or ask the builder to propose the setup.

Path A: Configure the Agent Directly

Place this instruction wherever your builder stores the agent’s core instructions, then review the connected settings before you activate it.

If your builder creates agents from a text or voice description, use a creation brief instead. It tells the builder what to assemble and asks it to show the proposed setup before activation.

Path B: Describe the Agent in Text or by Voice

Review the proposed setup in the same way you would review settings configured on screen. Confirm that it uses the source, decision rule, workflow steps, permissions, and finish points you defined on the previous pages.

Keep the Work Inside Your Existing Systems

Save the proposal, repeatable opportunity reference, current workflow step, and owner revisions where your business already manages marketing, or in the saved work provided by the agent builder. The agent should update that record rather than create another tracker or spreadsheet.

When the proposal is ready, the agent moves it to Ready for owner review and alerts you through the review channel you selected. You can see why the opportunity qualified, why the recommended response fits, when the opportunity expires, and which parts of the proposal still need your decision.

Your agent can now bring you a complete, traceable proposal whose recommendation fits the opportunity it found. Next, you’ll decide whether to revise or approve it and see exactly where the core workflow ends.

Approve the Campaign Plan and See What Comes Next

Your agent has brought you a campaign proposal. Now review it and either approve it or ask for changes. Once you are happy with the plan, you can take the agent to the next level: have it prepare the campaign materials and, with the right connections and approvals, help deliver them. Let’s see what that setup requires.

Review and Approve the Proposal

Review the opportunity, recommended response, campaign goal, audience, message, channels, timing, content ideas, and proposed next steps together. You can correct one part without rebuilding the campaign from the beginning. The agent updates the same proposal, records the revision, and returns it to Ready for owner review.

Before you approve the proposal, decide whether each update changes the campaign plan or the facts behind the opportunity.

When the facts are current and the plan fits your business, approve the version you want to use. The agent saves it as the agreed campaign direction. The planning stage is now complete: you can create and launch the campaign yourself, hand it to your team, or extend the agent so it can help produce and deliver the approved work.

Take Your Agent Further

At this stage, your Marketing Campaign Agent works as a Campaign Planner. It finds a signal, checks whether it creates a useful opportunity, recommends a suitable response, and prepares a campaign proposal for your approval. When you are ready, you can extend it in two directions:

• Campaign Producer. Creates the exact posts, emails, images, messages, or page copy and brings the finished materials to you for approval
• Campaign Executor. Uses supported connections to schedule, publish, send, or update only the final materials and actions you approved

What happens next depends on the approved response.

• A Campaign Producer might create public content, direct messages, promotion copy, or page copy
• A Campaign Executor could then schedule, send, apply, or update only the final materials and actions you approved. A price change needs its own exact value, start and end dates, and a confirmed return to the previous price

Extending the agent creates another important boundary: approving the campaign direction is not the same as approving finished materials. Check that distinction now.

If you decide to build the producer or executor level, check that your tool supports:

• The content formats your campaign needs
• Connections to the selected social, email, messaging, website, or commerce tools
• Permission to perform only the actions you intend to delegate
• A final preview, owner approval, and continuation of the workflow after approval

You can build and connect this advanced marketing agent yourself. Or you can use an agent created specifically to support the marketing work around your business — that’s where Empacer comes in.

Whether you stop with the Campaign Planner or extend it later, the workflow needs to make the right decision consistently. The final step will help you test and improve the version you built here.

Test, Diagnose, and Improve the Agent

A successful test proves more than the quality of the marketing idea — it shows that the agent found the right opportunity, used current facts, followed the decision rule, matched the response to what it found, and kept the proposal under owner control.

Use dedicated test sources and records while you check the workflow. Run these cases:

Finish with one end-to-end run. Let the agent discover or receive the signal, check whether it creates a useful opportunity, recommend a response, and prepare the proposal. Request one revision, confirm that the same proposal is updated, and then approve the final version. Confirm that approval saves the proposal and completes the planner workflow without producing or releasing campaign materials. Run the same trigger again to complete the repeated-signal test and confirm that the agent recognizes the finished opportunity instead of creating another proposal.

Improve the Layer That Caused the Problem

Each test result gives you a clue about which part of the agent needs attention. Use the activity history or run log and compare the saved campaign record before and after the run. Identify the single layer most likely to have caused the problem and improve it first:

After a change, rerun the case that exposed the problem. Then rerun one previously successful case. This shows whether the correction solved the issue while preserving the route that already worked.

Your Marketing Campaign Agent is ready for supervised use when it can:

• Find the selected signal through an approved source and trigger, then qualify the opportunity
• Choose Act, No action, or Human review using current evidence
• Recommend a response that fits the opportunity and explain why
• Prepare and save one proposal with clear next steps and content ideas when relevant
• Bring the proposal to you for correction or approval
• Update the same proposal when you request a change
• Recognize an opportunity it has already handled

Choose Where and How to Use Your Agent

Once the tests pass, decide whether you want to use the agent in the platform where you built it or somewhere else. The agent itself may be present in various forms, such as a few instruction files, a published automation, or an app, etc.

For example, this marketing agent might be saved as a set of instructions — it's often called "a skill" — and run in many popular AI platforms, where you can trigger it yourself, run on a schedule, or after a certain event.

You Can Use It Where You Built It

If the AI platform where you built the agent fits the way you work, ask it:

Then follow the instructions: save it in the relevant format and connect the active triggers to your live business source if relevant. Keep owner review on for campaign proposals, and keep any production, publishing, sending, pricing, or public-page actions disabled unless you have separately built and tested them.

Or Use It Somewhere Else

If you want to run an agent on another platform that fits your work better, ask:

Depending on the platforms, you may be able to import the agent, rebuild it from the same instructions, or leave it where it is and connect to it. After any move or reconnection, repeat the tests with test records before using live business information.

Once the agent is saved in the platform where you’ll use it — and any move or reconnection has passed the same tests — activate the selected trigger for the approved live source.

Your First Business Agent Is Ready

You now have an agent that can notice a useful business moment, verify whether the business is ready to act, select a fitting marketing response, and turn the opportunity into a campaign proposal you can shape and approve.

It helps the business notice timely opportunities and arrive at a marketing decision with less research and campaign-planning work from you.

When an approved campaign goes live — whether you launch it yourself or with the extended agent — it may bring new customers, and new questions, replies, and booking requests. In the next lesson, you’ll handle client communication with an agent. You’ll build a Communication & Booking Agent to move those conversations toward a booking or another business result.