What is Make.com?
Make AI is a suite of tools and features within the Make.com platform that allows users to integrate and utilise Artificial Intelligence (AI) in their automated workflows. It includes AI Agents, which are designed to automate complex, goal-driven tasks, and Make AI Tools, which offer pre-built AI functionalities for various tasks like text analysis, categorisation, and information extraction. These tools aim to make AI more accessible and user-friendly for automation tasks.
Here’s a more detailed breakdown:
1. AI Agents:
What they are:
Make AI Agents are essentially specialized AI models that can be incorporated into workflows to handle more complex tasks.
How they work:
They can be connected to various AI models (like those from OpenAI or Anthropic) and given specific instructions (system prompts) and tools (connected to other apps and services) to achieve defined goals.
Benefits:
AI agents can handle tasks like decision-making, information retrieval, and coordinating multiple steps in a workflow, often with a more natural language interface.
Example:
An agent might be set up to analyse customer feedback, categorize support tickets, and then route them to the appropriate team, all without needing explicit instructions for every step.
Key features:
Agents can have memory, learn from past interactions, and adapt their behaviour based on context.
2. Make AI Tools:
What they are:
Make AI Tools are pre-built modules that offer various AI functionalities within Make scenarios.
How they work:
Users can integrate these tools directly into their workflows without needing to set up individual AI models or prompts.
Benefits:
These tools simplify the process of incorporating AI into workflows by providing ready-to-use features for tasks like text analysis, sentiment analysis, language identification, and information extraction.
Example:
A tool could be used to automatically categorize incoming emails, extract key information from documents, or analyze customer reviews to gauge sentiment.
Availability:
Make AI Tools are available on paid Make plans.
In essence, Make AI aims to make AI capabilities accessible and usable for a wide range of users through both AI Agents for complex automation and pre-built AI Tools for more straightforward tasks.
Who Created Make?
Make.com, the no-code automation platform, was co-founded by Patrik Simek and is part of Celonis. Patrik Simek, as CTO, has been instrumental in shaping Make’s vision and leading its evolution into the no-code space and the age of agentic automation. While Make.com is a separate entity, it is owned by Celonis, a process mining and execution management software company according to Make. The AI features within Make.com, like Make AI Agents, are spearheaded by teams within Make, with Sebastian Mertens as Head of Applied AI according to Make.
When Was Make Released?
Make.com’s AI agents were released in April 2025. Specifically, the Make AI Agents were launched in beta on April 14, 2025, according to PR Newswire. This new feature brings intelligent, decision-making AI agents into Make’s no-code environment.
How Do I Use Make.com?
Make.com utilises AI through its “AI Agents” feature and various AI-powered modules within its automation scenarios. To use AI with Make, you can create AI agents that act as intelligent assistants or incorporate AI modules into your workflows for tasks like sentiment analysis, text summarization, and more.
Here’s a breakdown of how to use Make.com:
1. AI Agents:
Create an AI Agent: Navigate to the AI Agents section in Make and create a new agent.
Connect a Language Model: Choose a language model (like OpenAI) and connect it using an API key.
Define the Agent’s Role: Write a clear system prompt that outlines the agent’s purpose, actions, and how it should respond.
Add Tools (Scenarios): Connect existing Make scenarios as tools for the agent to use for data retrieval, actions, or results.
Example: An AI agent could be created to manage inventory, check stock levels, or place restock orders, all powered by connected scenarios.
2. AI Modules in Scenarios:
Choose a Trigger:
Start a new scenario and select a trigger (e.g., new row in Google Sheets, new email received).
Add AI Modules:
Incorporate AI modules for tasks like sentiment analysis, text summarization, or other data processing.
Map Data:
Connect the output of previous modules to the AI modules, feeding the AI with necessary information.
Example:
A scenario could monitor a Google Sheet for new feedback, analyze the sentiment using an AI module, and update the sheet with the sentiment result.
3. Key Concepts:
System Prompts:
These are crucial for guiding the AI agent’s behaviour. They act as the agent’s job description.
Tools (Scenarios):
AI agents leverage existing Make scenarios as tools to perform specific actions or access data.
Prompt Chaining:
This technique allows you to combine multiple AI prompts within a scenario to create more complex automations.
AI Automation:
Combining AI with Make’s automation capabilities allows for more efficient and intelligent workflows.
Make’s current strapline is ‘Automation you can see, flex, and scale’, as Make.com claim to realise your business’s full potential with their intuitive no-code development platform to harness the full power of AI.
Make drives efficiencies, solves problems and speeds innovation by breaking down silos across your business, and therefore can accelerate innovation across your business in areas such as IT, operations, sales, marketing, finance, people and customer experience.