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Daylite
Google Gemini AI

Connect Daylite and Google Gemini AI

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

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Create a custom workflow

Integrate Daylite 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.

Daylite
Trigger: Watch Company Updated
Google Gemini AI
Action: Select an action
1. Select a trigger

  • Triggers when a company is updated in Daylite.

  • Triggers when a person is sent to the Trash in Daylite.

  • Triggers when a person is updated in Daylite.

  • Triggers when a form is updated in DayLite.

  • Triggers when a new appointment is created in Daylite.

  • Triggers when a new company is created in Daylite.

  • Triggers when a new person is created in Daylite.

  • Triggers when a new form is created in Daylite.

  • Triggers when a new note is created in Daylite.

  • Triggers when a new opportunity is created in Daylite.

  • Triggers when a new project is created in Daylite.

  • Triggers when a new task is created in Daylite.

  • Triggers when a note is updated in Daylite.

  • Triggers when an opportunity is updated in Daylite.

  • Triggers when a project is updated in Daylite.

  • Triggers when a task is updated in Daylite.

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 Daylite and Google Gemini AI.

Create a Company
Creates a new company.
Action
Create a Contact
Creates a new contact.
Action
Create a file search store
Creates a new file search store.
Action
Create a Form
Creates a new form.
Action
Create a Form Definition
Creates a new form definition.
Action
Create a Note
Creates a new note.
Action
Create a Project
Creates a new project.
Action
Create a Task
Creates a new task.
Action
Create an Appointment
Creates a new appointment.
Action
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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.