How to build website-based personalization with Drafter AI

Hi, I'm Oleh, founder of Drafter. AI. Now I'm recording a tutorial about the most primitive but interesting workflow for creating icebreakers, personalized messages for sales. Now we will use only one. Now, even two sources for icebreaking.

It's my website and website of a person I'm writing to. Let's see how to do that using the Drafter. AI platform. First of all, we need to create an input. In this input, we define what data do we need. We need from user in order to start working. Well, we need a link to website. It's my and We need to create an input. At the same time, it's the name of variables we will use later. Let's provide some suggestions for other users to understand what to do.

You can optionally write the description but. We will do that later. Create. Now we need to scrape data from the websites. In this tutorial, we will use only metadata. We don't need all the content of the webpages. But we can do that as well. Now we add scraping block. But we need input. We will scrape our website first. And we define what data we want to output. I want to output my, title and my description. That's it. Other parameters are advanced, for the actual selectors, we'll use it later. Done.

Now let's do the same for prospect's website. We found the prospect's website defined in the input, as the input for the block. And we also defined the output for prospect. By the prospect description. That's it. All we need is the use, GPT. In order to generate the icebreaker. Let's do that. To do that we will provide data, scraped from all the websites. Mine. And prospects as the input. We have four variables. And we define an output as icebreaker. And now we need to define the prompt. We do it in the same way.

As we, do work in the ChatGPT. We provide instruction. Let's see. It's in production. Now let define data. Variable data inside the prompt. The best way is to use tags. For AI to understand where to get the data. And we are using variables from the data input. My title and my description. And we. close tags. I will define the. Prospect's. Information. It's. C and D. Responsively. Now we provide some instructions. For AI. Sometimes typos happen. Oh. Three, sentences. Maximum. Simple word.

Ugh. Match. The information about me. And prospect to personalize, the message and offer. And now we define where, to get started with the message. Let's do that. Now after we wait a few minutes, we can try a workflow. We can give it a try. I say that I'm working on, on behalf. And we want to do things to, to want to write the message to Norns AI. Of our product. That's it. This input is automatically generated based on the workflow data. We provided it before. Let's get started. It takes some time. Usually up to one minute. But it can be faster. The only exclusion is if you use a GPT4, because the GPT4 is taking longer time. Now, we have an output designer.

So, where we define, That's information and data to output for us and our users there. That's right. We see all the variables generated during the workflow. The one we defined. And the one that are service ones. Let's say that we want, to see the icebreaker there. That's it. Now we can use the same workflow via API. We can regenerate the message. We can create new input. Give it a try. Thank you.

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