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- [Instructor] Now that we have learned
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what Agent AI is and how it works,
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let us look at some applications.
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Later in this course, I will guide you with some tools
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to build out agent AI applications
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absolutely with zero code.
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Agent AI automates workflow by making human decisions
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using reasoning power of LLMs.
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Can you imagine what you would like to automate
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with agent AI in marketing?
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Write your ideas in a notepad.
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Don't worry about whether you have the data
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to build this agent AI.
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We are exploring ideas without any limits.
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To design agent AI to automate purposefully to help humans,
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the first step in imagining use cases is always
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to think about why you want agent AI to do this work
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and what are the benefits to people.
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Here are top three use cases in marketing,
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which lend itself to using agent AI.
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Lead gen, campaign management, personalization.
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Let us look at lead gen.
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How is this done traditionally?
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Customers are engaged on a website or app,
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and the clicks are analyzed to optimize
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the customer path to lead them to an action.
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A customer funnel is built based on
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what stage of interest, consideration,
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or purchase is the customer at to lead them
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along the buyer cycle.
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This involves creating many different website
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landing pages and A/B testing what works for the customer.
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New creatives are created and new websites are created.
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Data is collected at every stage
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and analyzed to decide on the best next action
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on how to move the customer along with the customer funnel.
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Can you see how this lends itself to building an agent AI?
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Agent AI first breaks down the tasks to multiple steps,
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and then it runs each task
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and makes decision using reasoning along every step.
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So for lead gen, agent AI can generate websites,
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it can generate creatives and landing pages.
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How does it do it?
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It uses tools like web search
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and website generation tools.
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Next, it'll collect customer data to do A/B testing
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and compare what works best towards a goal
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of better leads collected.
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Can you say what type of Agent AI
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can be used for this step?
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Correct, it can be a goal-based agent,
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like what we learned in chapter one.
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Agent AI can analyze customer data and reason
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and filter customers to build out
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the customer funnel for us.
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