In today’s professional world, where productivity and time optimization play a key role, automation has become an essential strategic lever. Make, formerly known as Integromat, has established itself in 2025 as a major go-to solution for entrepreneurs, freelancers, and small teams looking to easily automate their business processes without any programming skills.
Thanks to its intuitive no-code interface, Make.com makes it simple to create complex workflows by connecting multiple popular apps such as Google Sheets, Slack, Gmail, Outlook, Notion, or even CRMs. Now enhanced with advanced AI capabilities and the integration of intelligent AI agents, this platform is redefining traditional automation by enabling autonomous and efficient decision-making—a true revolution in business task management.
Scenarios on Make now enter a new dimension, where each step can dynamically adapt to a given context, and where conversational memory brings unmatched fluidity. This accessible sophistication invites you to rethink daily operations: lead management, content generation, marketing automation, customer support, or even multi-channel distribution.
This article dives deep into why you should choose AI-powered automation with Make.com, how its advanced features work, the steps to create a high-performing AI agent, and concrete use cases for LinkedIn, blogging, and social networks like YouTube or TikTok.
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Why Choose AI Automation with Make.com
Introducing Make.com: A No-Code Platform Enhanced by AI 🤖
Make.com is a no-code automation platform known for its power and simplicity. Its visual interface is based on the concept of modules that you connect within a scenario to orchestrate task flows across various applications, from Gmail to Slack, Google Sheets, and Notion.
Since evolving to include AI agents, Make now offers much more than simple linear automations. These agents leverage advanced language models capable of analyzing, making decisions, and acting autonomously in real time, allowing you to manage multiple, complex situations without human intervention.
🔧 Visual and accessible no-code interface
🔗 Extensive connectivity with over 1,000 applications
🧠 AI agents for smart, contextual decision-making
⚙️ Flexible, scalable, and customizable scenarios
⏱️ Time savings on repetitive tasks
This dual strength—the accessibility of no-code combined with the power of AI—makes Make truly unique in a landscape that also includes Zapier or n8n. The latter tends to be more technical, while Make brings simplicity and rapid adoption.
What Are the Benefits for Professionals Without Technical Skills?
Make is particularly aimed at professionals who don’t master programming languages but still want to automate their processes. With progressive training and dedicated tutorials (see Make automation training), it’s possible to quickly set up useful scenarios.
The benefits are numerous:
⏳ Free up time by delegating to a reliable tool
📉 Reduce human errors in repetitive processes
🎯 Focus on high-value tasks
🤝 Improve client interaction management with personalized responses
🔄 Automatically sync data between applications (CRM, Google Sheets, Slack)
By eliminating the need for coding, Make speeds up workflow deployment, enabling fast upskilling and a measurable return on investment through regained efficiency and productivity.
How the Integration of AI Agents Revolutionizes Traditional Automation
Traditionally, automation relies on predefined, linear rules like “If X then Y.” They work perfectly for simple tasks but hit a wall when facing real-world complexity and variability.
AI agents introduced on Make.com change the game by:
🧠 Making decisions based on a broad context and multiple data points
🔄 Managing non-linear scenarios with multiple cases
⚙️ Coordinating several tools simultaneously, like sending a Slack message while saving a lead in a CRM
🕰️ Adapting behavior over time thanks to contextual memory
This paves the way for automations that respond more smoothly and intelligently—for example, personalizing LinkedIn messages or moderating YouTube comments automatically, without manual intervention.
AI Automation with Make.com: Advanced Functionality
Key Differences Between Traditional Automation and Decision-Making AI Agents 🧠
Traditional automations are built on rigid triggers and predictable actions. They’re powerful for repetitive processes like data synchronization or sending notifications.
In contrast, a Make AI agent relies on:
📚 Analyzing textual or structured data using AI (e.g., natural language phrases)
⚙️ Contextual evaluation, decision-making, and generating tailored responses
🔄 Iterating within the same scenario, like an intelligent assistant
🧩 Combining multiple tools to execute complex tasks (e.g., sending an email followed by a Slack reminder)
This decision-making intelligence allows you to automate business processes where simple conditional actions are no longer enough.
When Should You Choose a Make.com AI Agent?
Several criteria can guide the choice of an AI agent instead of a traditional automation:
❗ Dynamic management – the process needs to adapt to different scenarios or changing contexts
🤖 Autonomous decision-making – analyzing text, interpreting responses, or crafting personalized messages is required
🌐 Multi-platform coordination – multiple tools must interact simultaneously (e.g., CRM, Slack, Outlook)
📋 Need for conversational tracking, with a history of interactions
In summary, whenever task automation goes beyond simply executing fixed actions, an AI agent becomes a relevant solution to maximize productivity and efficiency.
Conversational Memory: The Key to Effective and Autonomous AI Automation
Conversational memory allows the AI agent to retain previous exchanges within a given interaction. This feature is essential for:
📌 Maintaining the flow of the conversation without unnecessary repetitions
🧩 Adapting responses based on already processed data
🔁 Enabling complex, iterative scenarios where the agent learns from context
⏲️ Avoiding data overload by reducing excessive API calls
Thanks to this built-in memory, the quality and relevance of responses improve the overall reliability of AI scenarios in Make, thus strengthening their adoption in business processes.
Creating an AI Agent on Make.com: Step by Step
Step by Step: Define the Agent’s Mission, Choose the AI Model, and Build an Effective Prompt 🛠️
Creating an AI agent requires a methodical approach to ensure the agent is properly tailored:
🎯 Define the mission: clearly specify what problem the agent needs to solve
🧠 Choose the AI model: configure the language engine (GPT, etc.) based on the project’s complexity and API budget
✍️ Build a system prompt: craft the initial instruction that will guide all the agent’s responses and decisions
Configuring Tools and Scenarios
Next, you need to integrate tools (e.g., CRM, Slack, Google Sheets) via their APIs within the scenario. Each module is set up to collect data, trigger actions, or send necessary information to the AI agent.
⚙️ Create scenario-tools to perform specific actions
🔄 Set up triggers (e.g., receiving an email, a new CRM lead)
🧩 Manage errors and timeouts within the scenario
🔐 Control access and secure APIs
Tips to Optimize Your AI Agents on Make.com 💡
To ensure reliability and performance, here are some best practices to follow:
🔍 Test each scenario-tool independently before integration
✂️ Keep prompts concise and clear by limiting length and complexity
📚 Document each tool and process precisely in case of future modifications
💰 Monitor API call costs to avoid unpleasant surprises
🔐 Implement strict API access management and protect sensitive data
These tips help you build a robust AI agent capable of adapting to business changes and the specific context of use.
Powerful AI Automation Examples (LinkedIn, Blogging, YouTube, TikTok) with Make.com and Associated Ecosystems
Use Case: Automated LinkedIn Prospecting & Personalized Message Generation
In a sales context, Make can be configured to trigger an automated scenario whenever a new LinkedIn contact is received. The AI agent analyzes the prospect’s profile, then generates a personalized outreach message, automatically sent via LinkedIn or email. Interaction history is stored in a connected CRM.
🤝 Save time in prospecting
🎯 Increase personalization of messages
📊 Integrated tracking of responses via Google Sheets and Slack
Blogging Automation for WordPress: Automatic Publishing of SEO Articles
With Make, a blogging automation can easily be set up to handle automatic publishing on WordPress. An AI agent generates SEO-optimized content, creates the title, description, and tags, then publishes it through the WordPress API. A second scenario sends publication notifications to Slack.
| Step | Description | Application / Tool | Benefit |
|---|---|---|---|
| 1 | SEO content generation | GPT AI + Notion | Fast, targeted writing |
| 2 | Article publishing | WordPress API | Save time on publishing |
| 3 | Publication notification | Slack | Easier tracking & collaboration |
Automating Your Presence on YouTube or TikTok: Content Creation, Publishing, and Analytics
Make.com allows you to combine AI tools to create optimized titles, descriptions, and hashtags for YouTube or TikTok, then schedule posts.
Thanks to automatic statistics collection via APIs, a scenario analyzes performance and sends reports via email or Slack, making it easier to adjust your strategy.
📅 Automatically schedule posts according to your calendar
🎥 Assisted creation of short-form videos (shorts, reels)
📝 Summarize comments for more responsive support
These real-world examples show that Make, combined with other platforms and AI, allows you to build an automated, intelligent, and efficient ecosystem. For further learning, detailed resources are available, such as BlogNextGen or YesWePrompt.
| Platform | Possible Automation | Tools Involved | Main Benefit |
|---|---|---|---|
| Prospecting + personalized messages | CRM, AI, Slack | Personalization + time savings | |
| WordPress | Automated SEO article publishing | AI, WordPress API, Notion | Speed + automated SEO |
| YouTube / TikTok | Content creation & scheduling | AI, YouTube API, Slack | Seamless presence & analytics |
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FAQ
🔹 What are the differences between Make and Zapier for automation ?
Make offers a more visual interface with modular scenarios that allow for more complex automations. Zapier focuses on simplicity but can be limited when managing advanced workflows. Make now integrates AI agents for an additional layer of intelligence.
🔹 Do you need technical skills to use Make?
No. Make provides a 100% no-code environment that can be quickly mastered through accessible training and tutorials, even without any programming knowledge.
🔹 How can you reduce API-related costs in Make?
You should optimize the frequency of API calls and the complexity of AI prompts, as well as carefully choose the AI model best suited to your project. Regularly monitoring expenses in Make is also recommended.
🔹 Can an AI agent handle multiple conversations at the same time?
Yes, thanks to its conversational memory, the AI agent can track multiple interactions simultaneously, adapting to each individual context.
🔹 Is there training available for getting started with Make and AI agents?
Yes, there are several online resources, such as formation-ia-automatisation.fr or Claire No Code, that guide beginners step by step.
