Make AI Agents: review, pricing, security and alternatives

What Make AI Agents does

Make AI Agents belongs to the automation family: platforms, often visual, that chain steps, apps and models into workflows with or without an agent. The directory lists 26 agents in this family.

You use it from: web app. Usable models: GPT (OpenAI) and Claude (Anthropic).

Who is Make AI Agents for?

It is for teams that want to connect their tools (CRM, e-mail, spreadsheets) and hand the AI the steps that require reading or deciding. Typical tasks people give it:

• qualify incoming requests and route them
• extract data from documents into a spreadsheet
• generate periodic reports

It is a good candidate if you prefer doing everything in a browser, with no install and you want to try for free before paying.

Access and human control

According to its documentation, Make AI Agents can:

• call online services and APIs
• read and edit files

We could not establish whether it asks for human approval before sensitive actions: test it first on an unimportant account or folder.

Make AI Agents pricing

The vendor publishes no price: pricing is by quote. A free tier lets you try it, with usage limits.

Agent prices change often and frequently depend on usage (credits, tasks, steps): check the pricing page before committing, especially for a team.

Getting started with Make AI Agents

1. Create an account on the official website: the free tier is enough for a first try.
2. Pick the platform: web.
3. Give it a first playground with nothing at stake: a test folder, a secondary account or a throwaway project. Only open your real accounts once you have seen how it behaves.
4. Give it a short, checkable task, review the result and its action log, then raise the difficulty step by step.

Security: risk level

A workflow runs unattended: limit the credentials it holds and log what it sends.

Points found for Make AI Agents:

• Outside content: it reads web pages or API responses, which may contain booby-trapped instructions (prompt injection).

Three habits: least privilege (minimal rights, dedicated keys), human approval for irreversible actions, a sandbox for code execution. The AI agent security check reviews your setup in a few minutes.

Make AI Agents and other automation at a glance

The 7 best-ranked agents in the same family, 7 of them open source. The score out of 100 only applies to open-source projects; for proprietary services we show the published entry price. A dash marks information the documentation does not state.

How we rated it

We do not give proprietary agents a score out of 100: there is no public adoption or activity data for them comparable to open-source repositories, and we will not make up a number. This page relies on the vendor's documentation and pricing page, checked on October 25, 2026.

The risk level follows the same rule as for open-source projects: access granted, default human approval and where data is processed. Details on the method page.