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gotoHuman
Perplexity AI

Connect gotoHuman and Perplexity AI integrations

Explore ready-made gotoHuman and Perplexity AI templates and start automating in minutes.

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Create a custom workflow

Integrate gotoHuman with Perplexity 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.

gotoHuman
Trigger: Watch the Human Response (deprecated)
Perplexity AI
Action: Select an action
1. Select a trigger

  • Triggers when a user responds to a request for approval/input. Copy the webhook URL to your gotoHuman agent connector.

  • Triggers when a user submits a review. Copy the webhook URL to your gotoHuman review type or agent.

2. Select an action

  • Creates a chat completions with the chosen model.

  • Generate a response for the provided input with optional web search and reasoning.

  • Generate contextualized embeddings for document chunks. Chunks from the same document share context awareness, improving retrieval quality for document-based applications.

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

  • Performs an arbitrary authorized API call.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Explore what you can automate between gotoHuman and Perplexity AI.

Archive a Run (deprecated)
Archives a run to be hidden in the web app.
Action
Create a chat completion
Creates a chat completions with the chosen model.
Action
Create a Review Request
Creates a request for human review.
Action
Create a Selection Request (deprecated)
Creates a multiple-choice request for human selection (fan-out).
Action
Create an agent response
Generate a response for the provided input with optional web search and reasoning.
Action
Create an Approval Request (deprecated)
Creates a request for human approval.
Action
Create an Input Request (deprecated)
Creates a request for human text input.
Action
Delete a Review Request
Deletes a request for human review.
Action
Generate contextualized embeddings (advanced)
Generate contextualized embeddings for document chunks. Chunks from the same document share context awareness, improving retrieval quality for document-based applications.
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.