Grok Bot vs Make : agents IA persistants vs automatisation visuelle de workflows
Grok Bot
Des agents IA persistants qui se connectent à vos outils comme un coéquipier
Make
Automatisation visuelle de workflow avec des tarifs compétitifs et plus de 1 800 intégrations.
Verdicts par tâche
Agents drive real UIs with live credentials, so no integration needs to exist
Carries credential risk and beta stability issues
Visual builder with 3,000+ integrations and strong data transformation
Steeper learning curve than simpler no-code tools
Free tier plus $12–38/mo credits are published prices; xAI publishes no Grok Bot price, so its cost cannot be modelled
Grok Bot usage is separate from your Grok and Cursor plan, so the total depends on a rate xAI has not published
Grok Bot exposes live credentials with no published security model
Make lacks self-hosting, but is GDPR-compliant
Comparaison des fonctionnalités
| Dimension | Grok Bot | Make |
|---|---|---|
| IA native | IA native | Dopé à l’IA |
| Core model | Persistent agents that sign into your apps with live credentials and work through real UIs | Visual drag-and-drop scenario builder connecting 3,000+ apps |
| Pricing | Own usage, separate from Grok and Cursor plans; no Grok Bot price on xAI's announcement page | Free tier, then $12–38/mo credit-based tiers |
| AI-native architecture | Native — the agent loop holds full context in a dedicated VM | Powered — AI is a module within a scenario |
| Integrations | Any app via its real UI (no API needed); MCP support (Figma confirmed) | 3,000+ pre-built integrations |
| Maturity & security | Beta (announced Aug 11, 2026), no published security architecture, live-credential risk | Mature platform, GDPR-compliant EU data centers |
Different philosophies: agentic autonomy vs deterministic pipelines
Make has published prices; Grok Bot cost cannot be modelled
Grok Bot for autonomy; Make for AI-assisted pipelines
Make for API breadth; Grok Bot for un-integrable apps
Make for production safety
Toujours indécis entre les deux ?
Choisir est la partie facile. Le travail, c’est de le faire tourner dans votre entreprise, sur vos données, avec votre équipe qui s’en sert. Nous faisons les deux.
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