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Arbox
Google Gemini AI

Connect Arbox and Google Gemini AI

Explore ready-made Arbox and Google Gemini AI templates and start automating in minutes.

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Create a custom workflow

Integrate Arbox with Google Gemini AI and automate the work that moves between them — no code required.

Create a custom workflow

Every automation starts with a trigger and an action. Select one from each app to generate a workflow tailored to your needs.

Arbox
Trigger: Watch Amount of Check ins
Google Gemini AI
Action: Select an action
1. Select a trigger

  • Triggers when a client has x amount of check-ins

  • Trigger when a client books a number of sessions

  • Triggers when a new appointment is booked

  • Triggers when an appointment is cancelled

  • Triggers when an appointment is updated

  • Triggers when membership is canceled

  • Instant trigger on a canceled membership

  • Triggers when an event is cancelled

  • Triggers when a user has to confirm entry from waiting list.

  • Instant trigger on when user has to confirm entry from waiting list.

  • Triggers when a recurring payment is refused.

  • Instant trigger on a credit refusal

  • Triggers when a user entered (access control)

  • Triggers when a user entered a session from a waiting list

  • Instant trigger on when a user entered a session from a waiting list

  • Triggers when a user is inactive

  • Triggers when a lead is converted to a new client

  • Triggers when a lead is marked as lost

  • Triggers when a user has/hasn't medical/waiver

  • triggers when a membership is suspended.

  • Triggers when a new client is added to Arbox

  • Triggers when a new lead is created in Arbox.

  • Triggers when an item is purchased from app/site

  • Instant trigger on a new purchase event

  • Triggers when a client renew or create membership

  • Triggers when a lead is booked to trial class

  • Instant trigger on a new trial class booking

  • Triggers when a lead status is updated

  • Triggers when a user cancels registration

2. Select an action

  • Creates a new file search store.

  • Deletes a file from a selected files search store.

  • Deletes a file search store.

  • Extracts structured data from text or files.

  • Generates a response for the provided input.

  • Generates a video using the general purpose Gemini model family.

  • Generates a video using the Veo models.

  • Generates an image using Gemini's image generation capabilities.

  • Generates an image using the imagen models.

  • Generate vector representations (embeddings) for the text or file you provide.

  • Generate high-quality, stereo audio from text prompts or from images.

  • Generates an audio file based on text input and settings.

  • Returns detailed information about a file in a file search store.

  • Retrieves details about a file search store.

  • Retrieves the full details of a single interaction (e.g. from a deep research agent).

  • Performs an arbitrary authorized API call.

  • Runs a deep research agent by Gemini.

  • Generates text responses from prompts without requiring an account or connection.

  • Uploads a file so it can be used in the completions or in file search stores.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Explore what you can automate between Arbox and Google Gemini AI.

Book to a Trial Class
Book a lead to a trial class
Action
Cancel Trial Class Booking
Cancel a trial class booking
Action
Create a Client
Add new client to Arbox
Action
Create a file search store
Creates a new file search store.
Action
Create a Lead
Add a new lead to Arbox
Action
Create a Purchase
Create a new purchase for a client
Action
Create a Task
Add a new task to Arbox
Action
Delete a file in a file search store
Deletes a file from a selected files search store.
Action
Delete a file search store
Deletes a file search store.
Action
Load more

Support

FAQs

Everything you need to know about Make. Can't find the answer you're looking for? Please chat to our team.

Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.

A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.

Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.

Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.