If you're building AI-powered automations in 2026, you're likely choosing between Zapier, Make (formerly Integromat), and n8n. All three support LLM integrations, but they differ significantly in how they handle AI workloads.
Zapier is the most accessible option. Its AI actions are built-in and require minimal configuration. The trade-off is flexibility — complex multi-step AI chains can feel constrained by Zapier's linear workflow model.
Make offers a visual workflow builder with excellent branching and error handling. For AI workflows that need conditional logic (route to different models based on input type, retry with different parameters on failure), Make's visual approach is hard to beat.
n8n is the power user's choice. Self-hosted by default, it gives you full control over your data flow and execution environment. Its HTTP Request node means you can call any API with any parameters, making it the most flexible option for custom AI integrations.
All three platforms work seamlessly with Standard Compute's OpenAI-compatible API. The setup is identical across platforms: swap the base URL, add your API key, and set the model to "standardcompute". The choice of platform should be driven by your team's needs, not by AI compatibility.
Our recommendation: start with whichever platform your team already knows. The AI integration is the easy part — the hard part is designing good automation logic around it.