How to Create an FDD Schema?

Hello.

We want to show you how you can create your FDD schema, which is a structured data format of your regular PDF fdd.

So here's a test concept page and we will go to create your FTD.

So here's the FTD builder.

It has all the 23 items and the exhibits and as an output when we're done we would export it to PDF and that P includes the regular version that is readable to humans so you can share it with your prospects.

And it also includes the JSON structured data file.

It is invisible, but it is an attachment to this PDF.

So each one of the items here is structured according to the FTC rule, so it's compliant, it includes all of the required information and you don't need to be worried about missing something.

And then it's also formatted according to the FDD schema.

So because each item in the FDD is so unique and it has unique properties, it also needs to be formatted in a very specific kind of way.

So item one needs to follow these guidelines right for how to format legal name that it needs to be of a certain type and needs to be written a certain way.

So let's see this in action.

So item one, we'll start editing it.

So when we're filling this out as a human we're not worried about any of the FDT schema properties that I showed you and we're simply following this structured form.

So just answering questions, no need to put in any free form text.

In this case we save.

If we have any parent affiliates we would add them as through a similar form.

In this case we don't.

And yeah we just follow the rest of this guided structured form for filling out item one and then we can save even said it is done because it's complete.

But let's take a look at a more complicated item in terms of formatting.

So maybe one with lots of tables such as item 19 or 20.

so let's do 20.

So I can see that when I edit various required tables, or at least their titles are already here.

So how do I start actually filling them out?

Let's go to edit.

So the table is pre generated with the correct years depending on when I'm filling it out.

But there are no numbers so usually I would put them in manually, make calculations and therefore create a lot of room for error and just not a good use of time either way.

in this case, in this builder we can see Sync directly from records.

So these numbers and the corresponding changes, are coming from our locations data.

So let's save, and we would do the same for each one of the tables in this item.

So sync from records and save.

And let's do one more and I want to show where this is coming from.

So these are the locations, for your test concept.

so I had put them in prior to starting the fdd.

So I put in the name of the location, the address, and the states of ownership as well as the corresponding dates.

So in this case, because it's corporately owned, there's also no name of the owner when they were franchised.

I would also complete a short form about that franchise owner.

So if anything changes in the future, I will add a new record and then I don't need to worry about accounting for it in item 20.

So adding plus or saying minus one, when I file my FTD again, this is going to be automatically accounted for.

So this is this is that, so let's come back here and just save this item.

So I want to jump into showing how the output looks like.

So let's export to PDF.

And as I said, it includes both formats.

So it has the regular PDF that I can read and it also has that invisible code attachment.

So let's now check if this FDD is machine readable.

We will attach our fdd.

And it does in fact say that the schema was detected, which means that there are parts of this FDD that are machine readable.

So let's preview it and we can see that item one.

So it's going to be quite long, so we'll keep going.

But it includes the version of item one that makes each word contextually and correctly understood by AI agents.

So legal name we French.

And as I showed you, it's formatted exactly according to this item one.

So we can keep scrolling.

the items that are empty are still not here and that's fine, we're working on them.

Item 20 will include the view of these tables, the view of what we can see as tables, as a, code output that again makes each number each plus or minus correctly understood by AI agents because it knows what to expect.

because this FDD schema, kind of like pre, specifies what these tables, how they're supposed to be and what they really mean.

so yeah, this is how you build the schema and we would love to help you build one.

So please request a demo and we would love to turn your FDD into machine readable format.

Thank you.