V7 Go quick-start guide

In this guide we’ll run you through how you can quickly set up a project in Go. With a few minutes’ setup, you’ll be able to use GenAI models to instantly complete tasks that would have taken hours, days, and even weeks just a short while ago.

Create a project

To get started, click New project in the V7 Go homepage

Your new project will be given a randomised three-word name. Rename your project (unless you’re particularly fond of the name it’s been given) before getting started.

Entities & Properties

Go projects consist of Properties (columns), Entities (rows), and Fields (cells). AI Tools like GPT Vision can be plugged into the properties of a project to analyze the data in one or more surrounding properties.

Fields contain the inputs used by the model or the model’s outputs, making an entity a collection of model inputs and outputs.

Let’s walk through the process of creating a project using an dental X ray analysis use case as an example:

Add properties

In this example, we have a collection of panoramic dental X rays that will be analyzed with AI Tools.

Let’s start by adding our first property. As with most V7 Go projects, the fields in the first property will be the files that will be analyzed - In this case our panoramic X rays.

To add a property:

  1. Select + at the top of the project page
  2. Name the property
  3. Select the property Type (in this case we’ll select File)
  4. Select the property Tool (we will be importing these files ourselves so in this case we’ll select User input)
  5. Select the property’s Inputs (the other properties that will be analyzed by the AI Tool)
  6. If an AI Tool has been selected, set a prompt for the property
  7. If Select or Multi Select have been selected as Types add the pre-defined options that the tool will use as outputs

Our next property will use GPT Vision to analyze the X ray and identify any possible oral health conditions by tooth number, outputting these conditions as text.

To do this, we’ll add a new property whose type is Text. We’ll use GPT Vision as our tool and Panoramic X Ray property that we created previously as our input.

Next, we’ll add the crucial component to our property: the prompt. Check our our prompting best practices guide here. In this case, we’ll create the simple prompt below.


Determine if any of the following conditions could be present and list them alongside their corresponding tooth number:

  • Fracture
  • Cavity
  • Decay
  • Rotated tooth
  • Missing tooth

Let’s add one final property. In this case we’ll use the output of our Analysis property to list the teeth that have one of the specified conditions.

To do this, we’ll add a new property whose type is Multi-Select. We’ll use GPT 4 as our tool and the Analysis property that we created previously as our input alongside the prompt below:

Use one of the available options to indicate which tooth numbers are associated with a potential diagnosis

Once all properties are saved, any properties that have an AI tool and input selected will automatically run when a field in the input is updated.

Import data

Files can be imported in the UI by selecting a field whose type is PDF or File and using browse or drag & drop to add files to the project. Go will automatically create new entities for each file that is added.

To create automated pipelines to import data to Go, check out our Zapier guide. If you know your way around an API, you can also use our API or webhooks to get data in and out of V7 scaleably.

Entity View

Once data has been added to a project, users can use the Entity view to expand an individual entity and review its fields.

Drag and drop the fields within the entity view and select the lock icon to prevent further edits.

Select and to navigate between entities and x to return to the project view.

Export Data

You can generate a .csv export of any project by selecting Export datain the top right of the page.

You can also generate exports using this endpoint.