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Onfleet
Google Gemini AI

Connect Onfleet and Google Gemini AI

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

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Create a custom workflow

Integrate Onfleet 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.

Onfleet
Trigger: Watch Recipient SMS Response Missed
Google Gemini AI
Action: Select an action
1. Select a trigger

  • Triggers when the recipient responds to a notification via SMS, but the organization is unable to handle it at that time.

  • Triggers when worker is arriving, at or closer than the threshold value provided, in meters.

  • Triggers when a task has been assigned to a worker.

  • Triggers when a task has been cloned.

  • Triggers when a task has been completed by the worker.

  • Triggers when a new task is created.

  • Triggers when the delay time is greater than or equal to the threshold value provided, in seconds.

  • Triggers when a task is deleted.

  • Triggers when a worker ETA is less than or equal to the threshold value provided, in seconds.

  • Triggers when a task has failed.

  • Triggers when a task has been started by a worker.

  • Triggers when a task has been unassigned from a worker.

  • Triggers when a task has been updated, including assignment, feedback, and attachment (photo, signature) changes.

  • Triggers when a worker status has changed (0 for off-duty, 1 for on-duty).

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 Onfleet and Google Gemini AI.

Create a file search store
Creates a new file search store.
Action
Create a Task
Creates a new task in the Onfleet dashboard.
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
Delete a Task
Deletes a task by its ID.
Action
Extract structured data
Extracts structured data from text or files.
Action
Generate a response
Generates a response for the provided input.
Action
Generate a video
Generates a video using the general purpose Gemini model family.
Action
Generate a video (Veo) (deprecated)
Generates a video using the Veo models.
Action
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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.