Démarrage rapide
Ce guide couvre toutes les fonctionnalités de Make :
- Commencer — Créer un compte et effectuer la configuration de base
- Comment utiliser Make AI Agents — Build autonomous agents that plan each step toward a goal
- Comment utiliser l'automatisation des médias sociaux — Draft and publish posts across your channels on schedule
- Comment utiliser l'automatisation des flux de travail informatiques — Automatiser la surveillance et la réponse aux incidents
- Comment utiliser la génération automatisée de prospects — Capture form submissions and route leads directly to your CRM
- Comment utiliser l'automatisation des contrats — Send, sign, and file contracts without manual work
- Comment utiliser l'automatisation par agents — Let agents decide the next action inside any workflow
- Comment utiliser l'automatisation d'orchestration visuelle — Design and watch workflows on a real-time visual map
- Comment utiliser l'automatisation des factures — Process invoices and match payment data automatically
- Galerie de modèles : Comment utiliser — Start from pre-built workflows in one click
Temps nécessaire : 5 minutes par fonctionnalité
Vous trouverez également dans ce guide : Conseils de pro | Erreurs courantes | Dépannage | Tarification | Alternatives
Pourquoi faire confiance à ce guide ?
I’ve used Make for six months and tested every feature covered here.
Ce tutoriel est basé sur une véritable expérience pratique, et non sur des arguments marketing ou des captures d'écran de fournisseurs.
Make est l'un des outils no-code les plus puissants. automation outils disponibles aujourd'hui.
Mais la plupart des utilisateurs n'exploitent qu'une infime partie de ses possibilités.
This guide shows you how to use Make AI features step by step.
Every workflow here is easy to follow, even if you never write code.
Créer un tutoriel
This complete How to Use Make AI tutorial walks you through every feature, from setup to advanced agent workflows.
Faire
Automate complex processes across 3,000+ apps without a single line of code. Build AI agents and workflows on a real-time visual map. Start free — no credit card needed.
Premiers pas avec Make
Avant d'utiliser toute fonctionnalité, veuillez effectuer cette configuration unique.
It typically takes about three minutes, so expect a quick start.
Here’s my hands-on experience with the platform for reference:
Passons maintenant en revue chaque étape.
Étape 1 : Créez votre compte
Go to Make’s website.
Click “Sign Up” or “Get started free.”
Saisissez votre adresse e-mail et créez un mot de passe.
✓ Point de contrôle: Vérifiez votre boîte de réception pour recevoir un courriel de confirmation.
Step 2: Open the Scenario Editor
Make runs in the browser, so it works across all your appareils.
Log in and click “Create a new scenario” from the menu on the left.
Here’s an overview of what you get:
✓ Point de contrôle: You should see a blank canvas with a big plus button.
Étape 3 : Connectez vos premières applications
Click the plus button and search for any app you use.
Make offers over 3,000 pre-built apps, plus flexible hooks for custom systems.
Approve the connection details when prompted.
✅ Terminé : Vous êtes prêt à utiliser n'importe quelle fonctionnalité ci-dessous.
Comment utiliser Make AI Agents
Créer des agents IA vous permet de construire autonome agents that plan each step toward a goal.
Voici comment l'utiliser étape par étape.
Step 1: Create the Agent
Open AI Agents from the left menu and click Create agent.
Pick an AI model and give the agent a clearly defined goal.
Step 2: Add Tools and Knowledge
Attach scenarios as tools the agent can call.
Each added tool gets a short description, so the agent knows when to use it.
Its capabilities grow with every tool and knowledge source you connect.
Voici à quoi cela ressemble :
✓ Point de contrôle: Your agent shows its assigned tools in a list.
Étape 3 : Tester et déployer
The last step is a test run with a sample request.
Watch the agent decide which tools to call in real time.
✅ Résultat : Your autonomous agent now handles multi-step tasks on its own.
💡 Conseil de pro : Built for organized, complex scenarios — keep each tool small and focused.
Comment utiliser Make Social Media Automation
Social Media Automation lets you draft and publish posts across your channels on schedule.
Voici comment l'utiliser étape par étape.
Step 1: Pick a Trigger
Start with a trigger like a new row in Google Sheets.
Step 2: Add the AI Writer
Insert an AI module and give it a topic for each post.
The AI drafts légendes you can review before anything gets executed.
Voici à quoi cela ressemble :
✓ Point de contrôle: A drafted post appears in the module output.
Étape 3 : Connectez vos chaînes
Add Instagram, LinkedIn, or X modules and map the caption field.
✅ Résultat : Fresh posts now go out on schedule without manual work.
💡 Conseil de pro : Add a filter so only rows marked as approved get published.
Comment utiliser Make IT Workflow Automation
Automatisation des flux de travail informatiques lets you automate monitoring and incident response.
Voici comment l'utiliser étape par étape.
Step 1: Set the Monitor
Use a webhook or schedule to watch your systems.
Step 2: Route Alerts
Add a router that sorts issues by severity.
Voici à quoi cela ressemble :
✓ Point de contrôle: Test alerts flow down the correct route.
Step 3: Notify and Log
Send critical alerts to Slack and log everything to a sheet.
✅ Résultat : Incidents get flagged in seconds, freeing your team to focus on bigger work.
💡 Conseil de pro : Automated incident response cuts manual work and keeps support tickets down.
How to Use Make Automate Lead Generator
Automatisez la génération de prospects lets you capture form submissions and route leads directly to your CRM.
Voici comment l'utiliser étape par étape.
Step 1: Capture the Form
Connect Typeform, Facebook Lead Ads, or any form tool as the trigger.
Step 2: Enrich and Score
Add an AI module to score each lead from the form data.
Voici à quoi cela ressemble :
✓ Point de contrôle: Each lead record shows a score in the output bundle.
Step 3: Send to Your CRM
Map the fields to HubSpot or Pipedrive and run the scenario.
✅ Résultat : Every new lead lands in your CRM within seconds.
💡 Conseil de pro : Filter out personal email domains to keep junk leads away from sales.
Comment utiliser Make Contract Automation
Automatisation des contrats lets you send, sign, and file contracts without manual work.
Voici comment l'utiliser étape par étape.
Step 1: Trigger on a Deal
Start when a deal hits a set stage in your CRM.
Step 2: Generate the Document
Fill a contract template with client details automatically.
Voici à quoi cela ressemble :
✓ Point de contrôle: A finished contract appears in your document tool.
Étape 3 : Envoi pour signature
Push the file to DocuSign and store the signed copy in Drive.
✅ Résultat : Contracts move from deal to signed file with zero copy-paste.
💡 Conseil de pro : Additionally, add a Slack alert so sales knows when contracts get signed.
Comment utiliser Make Agentic Automation
Automatisation des agents lets you let agents decide the next action inside any workflow.
Voici comment l'utiliser étape par étape.
Step 1: Drop an Agent into a Scenario
Add your agent as a module inside any workflow.
Step 2: Pass It Context
Map incoming data into the agent’s prompt field.
Voici à quoi cela ressemble :
✓ Point de contrôle: The execution log shows the agent’s reasoning for each run.
Step 3: Act on the Response
Route the agent’s output to the right next module.
For example, refund requests go one way and general questions another.
✅ Résultat : Your workflow now adapts to each case instead of following one fixed path.
💡 Conseil de pro : Customer service fits well — agents answer inquiries using predefined information.
Comment utiliser Make Visually Orchestrate Automation
Orchestrer visuellement l'automatisation lets you design and watch workflows on a real-time visual map.
Voici comment l'utiliser étape par étape.
Step 1: Open the Visual Map
Every module appears as a bubble you can drag anywhere.
Let me introduce the key controls along the bottom toolbar.
Step 2: Watch Data Flow
Run the scenario once and watch bubbles light up with live data.
Voici à quoi cela ressemble :
✓ Point de contrôle: Each module shows how many operations it executed.
Step 3: Manage Agents on the Map
You can create autonomous AI agents and manage them from the same real-time visual map.
✅ Résultat : One glance shows the health of every automation you run.
💡 Conseil de pro : This visual-first approach keeps complex processes accessible to non-coders.
Comment utiliser l'automatisation de la facturation
Automatisation des factures lets you process invoices and match payment data automatically.
Voici comment l'utiliser étape par étape.
Step 1: Watch a Mailbox
Trigger on new invoice emails or uploads to a folder.
Step 2: Extract the Data
An AI module pulls totals, dates, and vendor details from each file.
Voici à quoi cela ressemble :
✓ Point de contrôle: Parsed fields match the values on the original invoice.
Step 3: Sync to Accounting
Send clean records to Xero or QuickBooks, one line item per charge.
✅ Résultat : Invoice processing runs itself while your books stay accurate.
💡 Conseil de pro : Add error handling here first — a break route blocks bad data.
Comment utiliser la galerie de modèles
Galerie de modèles lets you start from pre-built workflows in one click.
Voici comment l'utiliser étape par étape.
Step 1: Search the Gallery
Search by app name or use case from the Templates tab.
Step 2: Preview the Flow
Open a template to see every module before you commit.
Voici à quoi cela ressemble :
✓ Point de contrôle: The preview shows each step the template will run.
Étape 3 : Personnaliser et activer
Swap in your accounts, tweak fields, and turn the scenario on.
✅ Résultat : A working automation, built in minutes instead of hours.
💡 Conseil de pro : Interested in agents? Filter the gallery by AI to find agent-ready examples.
Astuces et raccourcis de pro
After testing Make for six months, here are my best tips.
Raccourcis clavier
| Action | Raccourci |
|---|---|
| Save scenario | Ctrl + S |
| Copier un module | Ctrl + C |
| Paste a module | Ctrl + V |
| Annuler une modification | Ctrl + Z |
Fonctionnalités cachées que la plupart des gens ignorent
- Make DevTool: A browser extension that shows live execution data while scenarios run.
- Data Stores: A built-in database most people never realize exists — great for saving records between runs.
- Error Handlers: Right-click any module to add break, CV, or rollback routes.
Make also publishes free courses on YouTube for learners at every level.
Its AI Tools 101 course has 10 lessons, rolled out in two parts.
The videos cover AI fundamentals, prompting, JSON transformation, and error handling.
Évitez les erreurs courantes
Mistake #1: Skipping Error Handling
❌ Faux : Building long scenarios with no error routes, then losing data on failures.
✅ À droite : Add error handlers to risky modules so one problem never stops the process.
Mistake #2: Polling Too Often
❌ Faux : Setting triggers to check every minute, which burns through operations fast.
✅ À droite : Use instant webhooks where possible, or set a schedule that matches real need.
Mistake #3: Running Without Filters
❌ Faux : Letting every record flow through, so modules run on data you never needed.
✅ À droite : Add a filter after the trigger so only matching records continue.
Dépannage
Problem: A module throws an error mid-run
Cause: The previous module sent missing or malformed data.
Réparer: Open the execution history, click the module bubble, and check its input and output.
Problem: The trigger never fires
Cause: Scheduling is off, or the webhook was never saved.
Réparer: Turn the scenario on, then re-copy the webhook address into the source app.
Problem: Operations run out too fast
Cause: Aggressive polling and unfiltered data eat the monthly quota.
Réparer: Lower the schedule frequency, add filters, or move up a plan.
📌 Note: Si aucune de ces solutions ne résout votre problème, contactez l'assistance Make.
Qu'est-ce que Make ?
Faire is a no-code automation tool that connects your apps and services.
It automates complex processes involving multiple tools, and you never touch code.
Think of it like LEGO for workflows — you snap together blocks called modules.
Each module matches one action on a tool, executed in order.
Regardez ce bref aperçu :
Il comprend les fonctionnalités clés suivantes :
- Make AI Agents: Autonomous agents with tools, knowledge, and a clearly defined goal.
- Automatisation des médias sociaux : AI-drafted posts published across channels on schedule.
- Automatisation des flux de travail informatiques : Monitoring, alert routing, and incident response on autopilot.
- Automatisez la génération de prospects : Form capture, AI scoring, and instant CRM syncing.
- Automatisation des contrats : Generated, signed, and filed agreements with zero copy-paste.
- Automatisation par agents : Agents embedded inside workflows to handle judgment calls.
- Orchestrer visuellement l'automatisation : A live map showing every module and data flow.
- Automatisation des factures : Extracted invoice data matched and synced to comptabilité.
- Galerie de modèles : Thousands of pre-built workflows you can customize fast.
Pour une analyse complète, consultez notre Écrire un avis.
Établir les prix
Voici les coûts de Make en 2026 :
| Plan | Prix | Idéal pour |
|---|---|---|
| Gratuit | 0 $ par mois | Testing automations and small personal workflows |
| Cœur | 9 $ par mois | Solo users automating everyday tasks |
| Pro | 16 $ par mois | Power users who need priority execution |
| Équipes | 29 $ par mois | Small teams who share and build scenarios together |
| Entreprise | Tarification personnalisée | Grandes entreprises avec sécurité and support needs |
Essai gratuit : Yes — the Free plan includes 1,000 operations per month, no card needed.
Garantie de remboursement : No set guarantee, but you can cancel or downgrade any time.
💰 Meilleur rapport qualité-prix : Core — $9 per month covers most solo automations with headroom.
Marques contre alternatives
Comment Make se compare-t-il ? Voici le paysage concurrentiel :
| Outil | Idéal pour | Prix | Notation |
|---|---|---|---|
| Faire | Visual AI automation | 9 $/mois | ⭐ 4,6 |
| n8n | Technical teams | 24 $/mois | ⭐ 4,5 |
| Zapier | Widest app coverage | 19,99 $/mois | ⭐ 4,5 |
| Pabblely | Flat budget pricing | 16 $/mois | ⭐ 4,3 |
| MindStudio | AI agent constructeurs | 23 $/mois | ⭐ 4,4 |
| Flowith | Creative AI canvases | 10 $/mois | ⭐ 4.2 |
| Gumloop | AI-first workflows | 97 $/mois | ⭐ 4,4 |
| Replit | Création d'applications personnalisées | 20 $/mois | ⭐ 4,5 |
| Google Opal | Free AI experiments | 0 $/mois | ⭐ 4.1 |
Sélection rapide :
- Meilleur résultat global : Make — visual map, AI agents, and 3,000+ apps in one place.
- Meilleur budget : Google Opal — free while it stays in Google Labs.
- Idéal pour les débutants : Zapier — the most recognized name with the simplest editor.
- Idéal pour les développeurs : n8n — self-hosting and code steps for technical teams.
🎯 Créer des alternatives
Vous cherchez des alternatives à Make ? Voici les meilleures options :
- 🚀 n8n : Open-source workflow tool you can self-host, and some users find it more intuitive than Make.
- 💰 Pabbly : Budget automation with flat pricing that never punishes heavy use.
- ⚡ Zapier : The biggest app library in automation, with the fastest setup for simple two-step tasks.
- 🧠 MindStudio : Focused on building standalone AI agents and assistants rather than general workflows.
- 🎨 Flowith : Canvas-style AI workspace built for open-ended, multi-thread creative work.
- 🔥 Gumloop : AI-first automation with strong scraping and data extraction abilities.
- 🔧 Réplique : Build fully custom apps and automations in many programming languages.
- 🌟 Google Opal : Free experimental builder that turns plain prompts into mini Applications d'IA.
⚔️ Comparer
Voici comment Make se compare à chacun de ses concurrents :
- Make vs n8n : Make wins on pre-built apps; n8n wins on self-hosting and feels more intuitive to some users.
- Faire ou être servi : Make has far more integrations; Pabbly wins on flat pricing for tight budgets.
- Make vs Zapier : Zapier is simpler for beginners; Make costs less and handles complex logic better.
- Make vs MindStudio : MindStudio goes deeper on standalone agents; Make ties agents into real workflows.
- Make vs Flowith : Flowith suits open-ended creative AI work; Make suits structured, repeatable automations.
- Make contre Gumloop : Gumloop shines at AI scraping; Make brings a bigger app library and visual control.
- Créer vs Répliquer : Replit builds software from scratch; Make automates the tools you already use.
- Make vs Google Opal : Opal is a free playground; Make is the production-grade pick for entreprise efficiency.
Pour la liste complète, consultez notre Proposer des alternatives guide.
Commencez à utiliser Make maintenant
Vous avez appris à utiliser toutes les principales fonctionnalités de Make :
- ✅ Make AI Agents
- ✅ Automatisation des médias sociaux
- ✅ Automatisation des flux de travail informatiques
- ✅ Automatisez la génération de prospects
- ✅ Automatisation des contrats
- ✅ Automatisation par agent
- ✅ Orchestrer visuellement l'automatisation
- ✅ Automatisation des factures
- ✅ Galerie de modèles
Étape suivante : Choisissez une fonctionnalité et essayez-la dès maintenant.
Most people start with Make AI Agents.
Cela prend moins de 5 minutes.
Foire aux questions
À quoi sert Make.com ?
Make automates repetitive work like invoices, lead routing, and customer service inquiries. You connect apps with visual modules, so complex processes run without code.
Make.com est-il gratuit ?
Yes. The Free plan includes 1,000 operations per month. Paid plans start at $9 per month on Core.
Make est-il meilleur que Zapier ?
Make costs less and handles complex logic better. Zapier offers more apps and simpler setup. Power users typically prefer Make.
Make.com est-il difficile à utiliser ?
No coding is needed, though the visual editor takes a little practice. The free AI Tools 101 course on YouTube speeds up learning.
Can Make create AI agents?
Yes. You can create autonomous AI agents, assign tools, and manage them on a visual map.
English 
Spanish 
Chinese 
German 
French 
Arabic 
Russian 
Portuguese 
Japanese 
Korean 
Italian 
Turkish 
Dutch 
Polish 
Indonesian 
Thai 
Vietnamese 