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SilFer Bots
Google Gemini AI

Connect SilFer Bots and Google Gemini AI

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

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Create a custom workflow

Integrate SilFer Bots 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.

SilFer Bots
Trigger: Watch New or Updated Custom Field
Google Gemini AI
Action: Select an action
1. Select a trigger

  • Triggers when custom is set or changed. Please be aware that it will not be triggered if the new value is equal to the old value.

  • Triggers when you change the status of the order to "Concluded".

  • Triggers when a tag is removed from the user. Be aware that it will not be triggered if the user doesn't have the tag.

  • Triggers when a cart is abandoned

  • Triggers when live chat is disabled with a user. Be aware that it will not be triggered if the live chat is already disabled for the user.

  • Triggers when live chat is enabled with a user. Be aware that it will not be triggered if the live chat is already enabled for the user.

  • Triggers when the user reaches the “Trigger Integromat” action in your bot.

  • Triggers when a user places a new order.

  • Triggers when a tag is applied to the user. Please be aware that it will not be triggered if the user already has the tag.

  • Triggers when a new user uses your bot. Be aware that it will not be triggered if the user deletes the conversation and start again.

  • Triggers when the user is added to a sequence. Be aware that it will not be triggered if the user already has added to the sequence.

  • Triggers when a user is removed from a sequence. Be aware that it will not be triggered if the user already has removed from the sequence.

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 SilFer Bots and Google Gemini AI.

Add Tag to User
Adds a tag to a user.
Action
Clear User Custom Field
Clears a user custom field.
Action
Create a file search store
Creates a new file search store.
Action
Create New Contact
Creates a new SMS contact.
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
Extract structured data
Extracts structured data from text or files.
Action
Find User by ID
Gets single user by ID
Action
Generate a response
Generates a response for the provided input.
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.