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ServiceM8
Perplexity AI

Connect ServiceM8 and Perplexity AI integrations

Explore ready-made ServiceM8 and Perplexity AI templates and start automating in minutes.

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Create a custom workflow

Integrate ServiceM8 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.

ServiceM8
Trigger: Watch Completed Jobs (DEPRECATED)
Perplexity AI
Action: Select an action
1. Select a trigger

  • Triggers when job-status changes to complete. DEPRECATED

  • Triggers when a form is completed. Requires the forms add-on to be enabled in your ServiceM8 account.

  • Triggers when a new job is created or a job's status is updated.

  • Triggers when a new client is created.

  • Triggers when a new job is created. DEPRECATED

  • Triggers when a job is assigned to a queue. DEPRECATED

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 ServiceM8 and Perplexity AI.

Create a chat completion
Creates a chat completions with the chosen model.
Action
Create a Client
Creates a new client.
Action
Create a Job
Creates a new job.
Action
Create a Job Contact
Creates a new job contact.
Action
Create an agent response
Generate a response for the provided input with optional web search and reasoning.
Action
Delete a Client
Deletes a specific client by id.
Action
Delete a Job
Removes the selected job from the list.
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
Generate embeddings
Generate vector representations (embeddings) for the text you provide.
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.