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Perplexity AI
Bland

Connect Perplexity AI and Bland integrations

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

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Create a custom workflow

Integrate Perplexity AI with Bland 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.

Bland
Trigger: Watch Completed Batches
Perplexity AI
Action: Select an action
1. Select a trigger

  • Triggers when a batch of calls finishes (completed or partially completed). Failed and in-flight batches do not fire.

  • Triggers when a phone call finishes. Each call is delivered once, after it completes, with its summary, recording URL and price attached. Add a Get a Call module after this trigger to fetch the full transcript.

  • Triggers when an incoming phone call has finished.

  • Triggers when an outbound phone call is finished.

  • Triggers when a new message arrives in an SMS conversation. A conversation fires again each time its most recent message changes, with the text in Last Message.

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 Perplexity AI and Bland.

Analyze a Call
Analyzes a call based on questions and goals.
Action
Create a Batch
Starts a batch of phone calls from a list of numbers, using one shared prompt and set of settings. The batch is asynchronous — this returns a Batch ID immediately.
Action
Create a Call
Sends an outbound AI phone call.
Action
Create a chat completion
Creates a chat completions with the chosen model.
Action
Create an agent response
Generate a response for the provided input with optional web search and reasoning.
Action
Find a Contact
Finds a contact in your Bland account by phone number, email, or external ID, including its stored memory.
Search
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
Generate embeddings
Generate vector representations (embeddings) for the text you provide.
Action
Get a Batch
Retrieves a batch, including its status, settings and call list.
Action
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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.