Créez votre propre Agent IA dans Make ! Tuto complet !

Créez votre propre Agent IA dans Make ! Tuto complet !

Create your own AI Agent in Make! Complete tutorial!

by Renaud Dékode

Applied Sciences & Engineering AI — News & Applications UYComputer scienceUYQArtificial intelligence (AI)
🎙 Renaud Dékode 👥 249K 📅 April 17, 2025 ⏱ 30 min 👁 10K 📄 tutorial 🧭 2026-09-07
Available in: English (current) Français

Keywords

MakeAI agentautomationno-codeworkflow

Summary

This tutorial by Renaud Dékode demonstrates how to create an AI agent within the Make automation platform. The video begins by explaining the concept of AI agents and their advantage over traditional, rigid automations. The creator then walks through the process of creating an agent, selecting a language model (e.g., GPT-4), and defining a system prompt. He emphasizes the importance of integrating the agent with various tools and interfaces, such as a webhook or WhatsApp, to enable interaction. The core of the tutorial focuses on adding ‘superpowers’ to the agent by creating on-demand Make scenarios that serve as tools. For example, he shows how to create a scenario that drafts emails in Gmail, with defined input fields for recipient, subject, and body. He then connects this tool to the agent, allowing it to autonomously decide when to use it. The video demonstrates a live test where the agent uses a Perplexity tool to research a topic and then drafts an email based on the results. The tutorial concludes by highlighting the vast possibilities of creating multiple tools and the associated costs of using AI models.

185 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides a clear, hands-on demonstration of creating an AI agent in Make, which is valuable for users looking to implement such automations. The argumentation is practical, showing real examples and the agent’s autonomous decision-making. However, it lacks a critical discussion of potential pitfalls, such as error handling, security, or the limitations of the agent’s reasoning. The creator’s enthusiasm is evident, but the technical depth is moderate, suitable for intermediate users.

Scientific Rigor, Source Quality, Title Accuracy

The tutorial is based on the creator’s own experience and does not cite external sources or documentation. The title accurately reflects the content, and the video is well-structured with chapters. The lack of references to official Make documentation or AI model specifications slightly reduces the scientific rigor, but the practical demonstration is credible.

140 words

Title / Content Match

The title accurately reflects the content: a complete tutorial on creating an AI agent in Make.

Quality & Reliability

7/10

The tutorial is practical and demonstrates step-by-step creation of an AI agent in Make, but lacks in-depth technical explanations and critical analysis of limitations or alternatives.

Chapters

Cited Sources

  • Renaud Dékode's website — Mentioned as a place to discuss the video content.
  • N8N tutorial with AI agents — Referenced as an alternative tool with similar agent capabilities.

Concurring Sources

  • Make AI Agents documentation — Official documentation that aligns with the tutorial's approach.

Contribution & Novelties

The video offers a practical, step-by-step guide to creating an AI agent in Make, which is a relatively new feature. It demonstrates the concept of ‘superpowers’ (tools) that extend the agent’s capabilities, making it more than a simple chatbot. This approach is innovative for no-code users.

Pour aller plus loin :

100 words

Radar Profile

The radar profile shows balanced scores across all dimensions, with slightly lower technical depth and information quantity, reflecting the tutorial's practical but not deeply technical nature.

Reliability 7/10