HexaHQ vs Zapier & n8n: AI that knows your rules and acts as you.
Zapier, Make, and n8n are strong at automation, and each can call almost any API. The difference is what your AI brings to the action. HexaHQ hands it your company's rules before it acts and runs each action on the login of the person who asked. Zapier's MCP server, by comparison, uses the connections of whoever set it up.
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Automation tools and HexaHQ, side by side
| Zapier, Make, n8n | HexaHQ | |
|---|---|---|
| The right context, every time | ||
| Your AI follows your rules | Gives your AI actions, not your rules | The rules that apply, before it acts |
| Shared memory for your team | ||
| A teammate reuses your setup | Runs on the connections of whoever set it up | Each person on their own login |
| Work done in any app | ||
| Reach an app outside the catalog | Custom API request steps | Your AI sets it up from the app's API |
Sources: Zapier, "How tools work", Zapier, "Custom API actions" and n8n, "HTTP Request", checked 11 October 2026.
What Zapier, Make, and n8n do well
These are mature automation builders for repeatable work at scale. Their catalogs are large (Zapier lists more than 10,000 apps, Make more than 3,000, n8n around 2,300), and each one can also call any API: Zapier through Webhooks and API Request actions, Make through its HTTP module, n8n through its HTTP Request node. n8n can be self-hosted with Docker or npm or run in its cloud, and both Zapier and n8n let you require a person's approval before a step or an AI agent's tool runs.
If you want a trigger in one app to fire the same steps in another every time, these tools are good at it.
Sources: Zapier apps, Make integrations, n8n integrations, Zapier, "Custom API actions", Zapier, "Human in the Loop", Make, "HTTP", n8n, "HTTP Request", n8n, "Human-in-the-loop for AI tool calls" and n8n, "Hosting", checked 11 October 2026.
The right context, every time
An automation does what it was wired to do. When your AI takes on work nobody wired in advance, it needs to know how your company does that work. HexaHQ keeps one current version of each company rule and hands it to the AI before it acts, so a draft follows the current pricing policy without anyone pasting it in.
Shared memory for your team
Zapier's MCP server sets up actions from the apps connected to your own Zapier account, so the AI acts through the connections of whoever set it up. In HexaHQ, each person connects with their own login, and every action runs as the person who asked.
What one person teaches the AI reaches the teammates it applies to. A correction is saved while they work, they review it, and each document reaches only its audience: one person, a team, the organization, or an outside collaborator. It works inside the AI people already use, and the same knowledge carries across every supported AI client.
Sources: Zapier, "How tools work", checked 11 October 2026.
Work done in any app
All of these can reach an app outside their catalog once someone builds the request step. With HexaHQ, your AI connects any app with an API from a description of that API, with no server to build or host and no workflow to wire first. Your organization decides which actions run on their own, which ask first, and which are blocked.
Let your AI do the work, with your rules and your login.
Every teammate's AI starts from the same current rules, in any app with an API. Free to start.