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Make AI Toolkit Make integrationAutomate Make AI Toolkit with Make.

What if every text that lands in a scenario came out summarized, translated or sorted? The Make AI Toolkit Make integration gives you 9 AI actions, from a free prompt to text chunking. This guide connects it, then builds a first scenario with you.

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What you can automate

What does the Make AI Toolkit Make integration do?

Make AI Toolkit is a Make app that adds AI steps to a scenario, the automation you build in Make as a chain of modules. Each module is one brick: here, an action that reads a text and hands back a result, such as a summary, a translation, a category or a detected language.

Shorter support tickets. A long customer email reaches your scenario from another app. Summarize text shrinks it, then Categorize text labels it so the right person picks it up without reading everything.

One language for the whole team. Feedback arrives in several languages. Identify language tells you which one you are looking at, and Translate text turns it into the language your team reads.

Clean fields from messy notes. A sales rep pastes free notes after a call. Extract information from text pulls out the pieces you care about, and Standardize text puts them in a consistent form before they reach your CRM.

A few limits come straight from the docs. The toolkit has no trigger, so another app or a schedule starts the scenario. Custom AI provider connections such as OpenAI or Anthropic Claude are reserved to paid plans; see Make pricing for the plan details. If you are weighing tools, n8n vs Make puts both side by side, and Make training helps you go further with scenarios.

Connect

How do you connect Make AI Toolkit to Make?

  1. 01

    Add a module and open the connection

    In your scenario, add any Make AI Toolkit module and click Create a connection. A connection is the link Make keeps and reuses for every module of this app, so you set it up once.

  2. 02

    Pick the provider and the model

    On the Free plan, give it a name in Connection name if you like, then choose your Model. On Core, Pro, Teams or Enterprise, first choose the Connection type: Make's AI Provider with a model, or a custom provider with your API key.

  3. 03

    Save and reuse

    Click Save. The connection now appears in the list of every Make AI Toolkit module, so the next summary or translation you add picks it up with one click instead of a new setup.

First scenario

Your first scenario with Make AI Toolkit

GoalWhen a text arrives from another app, Make AI Toolkit summarizes it, then files it under a category.

  1. 01

    Create the scenario

    Open the Scenarios page, create a new scenario and click the + to add the first module. Start with the app that holds your text, a form tool or an inbox, since the toolkit has no trigger.

  2. 02

    Add Summarize text

    Click the + on the right of that first module, search Make AI Toolkit and pick Summarize text. Choose your connection, or click Create a connection if this is your first AI module.

  3. 03

    Map the text, then categorize

    Map the incoming message into the summary module. Add Categorize text with the next +, and map the summary from the previous module so the category is based on the short version.

  4. 04

    Test with Run once

    Click Run once. Make runs the scenario one time and shows the bundles, the items each module received and returned. Read the summary and the category before going further.

  5. 05

    Schedule and switch on

    Open the clock on the first module and set the schedule, every 15 minutes by default. Then switch the scenario on so new texts are summarized and sorted without you.

Modules

What can Make AI Toolkit do in Make?

Make AI Toolkit gives you 9 modules in 2 groups. For each one: what it does for you, when to reach for it, and what to watch out for.

Basic AI

8 modules
Make AI Toolkit1

Simple Text Prompt

ActionIn the docs only

You write your own instruction, the AI model answers it, and the reply flows to the next module as plain text. It is the open door of the toolkit when no ready-made module fits your wording.

When to use it
drafting a polite reply to a customer message that arrived through a form app earlier in the scenario.
Watch out
a vague instruction gives vague answers, so test your wording with Run once before relying on it.
Make AI Toolkit2

Extract information from text

ActionIn the docs only

Turns a block of loose text into the specific details you need, so later modules receive tidy values instead of a whole paragraph. Handy when people write freely and your tools expect clean fields.

When to use it
a lead describes their company in a contact form and you want the key facts ready for your CRM.
Watch out
check the output on a few real messages first, since people rarely write the way you expect.
Make AI Toolkit3

Categorize text

ActionIn the docs only

Gives each incoming text a category, which lets the rest of the scenario send it down the right path. You stop sorting messages by hand and start routing them.

When to use it
splitting incoming requests between billing, technical help and sales before they reach a shared inbox.
Watch out
run it on a summary rather than a very long text when you can, to keep the category focused on what matters.
Make AI Toolkit4

Translate text

ActionIn the docs only

Hands your team a version of the text in the language they read, without copying it into a separate tool. You can still map the original text from the earlier module if you need it.

When to use it
a product review lands in Spanish and your support team works in English.
Watch out
pair it with Identify language when inputs mix languages, so texts already in the right one can skip this step.
Make AI Toolkit5

Identify language

ActionIn the docs only

Tells you which language a text is written in, which gives your scenario a simple fact to branch on. It does not change the text, it only labels it.

When to use it
routing survey answers to the regional team that speaks the customer's language.
Watch out
very short texts, like a single word, give the model little to work with, so treat those results with care.
Make AI Toolkit6

Summarize text

ActionIn the docs only

Shrinks a long text into a short version your team can read at a glance, and passes that summary on to the next module. It is often the first AI step, because later modules work better on less text.

When to use it
a meeting transcript or a long complaint email that someone needs to understand quickly.
Watch out
with Make's AI Provider, longer inputs mean more AI tokens, and tokens are what spend your credits.
Make AI Toolkit7

Analyze sentiment

ActionIn the docs only

Reads the tone of a message and tells you whether the writer sounds pleased or unhappy, so angry customers do not wait at the bottom of a queue.

When to use it
flagging negative product reviews so a manager sees them before anyone else answers.
Watch out
irony and mixed feelings are hard to read, even for a person, so keep a human check on sensitive replies.
Make AI Toolkit8

Standardize text

ActionIn the docs only

Brings text typed in many different ways into one consistent form, which keeps your spreadsheets and CRM clean. Less cleanup later, fewer duplicates that differ only by spelling.

When to use it
job titles or company names entered freely by visitors before they are stored in your database.
Watch out
compare a few results with the originals after Run once, because a cleaned value replaces what people actually typed.

Advanced AI

1 module
Make AI Toolkit9

Chunk text

ActionIn the docs only

Cuts a long text into smaller pieces that later modules can handle one by one. It is the only module of the Advanced AI group, meant for texts too big to process in one go.

When to use it
a long contract or report that you want to summarize section by section.
Watch out
every piece that goes through the next module counts as its own operation, so plan for more operations than texts.
Need help

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FAQ

Questions about Make AI Toolkit and Make

01Is the Make AI Toolkit Make integration free?
Yes, the app is available from the Free plan. The Free plan allows 2 active scenarios, a minimum of 15 minutes between scheduled runs and 5 minutes of execution time per run. On that plan you connect through Make's AI Provider, and each module spends credits on AI tokens. Custom providers such as OpenAI or Anthropic Claude need a paid plan, where a module then spends one credit per operation. Paid plans also lower the interval to 1 minute.
02What do you need to connect Make AI Toolkit to Make?
Only a Make account, since the docs list no other prerequisite. Add a Make AI Toolkit module, click Create a connection, pick a model and save. On Core, Pro, Teams or Enterprise you first choose the connection type: Make's AI Provider, or a custom provider for which you paste the API key of your account with that provider. The same connection then serves all nine modules of the app. You never paste a key on the Free plan.
03Does Make AI Toolkit have a trigger in Make?
No. All nine modules are actions, so the toolkit never starts a scenario by itself. Something else has to: the trigger of another app, such as a new form entry or a new email, or the schedule set on the first module, every 15 minutes by default. Once the scenario runs, the AI modules process whatever text that first module hands them, one bundle at a time. The Run once button lets you check that flow first.
04What if a Make AI Toolkit module is missing or too limited?
Start with Simple Text Prompt, which lets you write your own instruction when no ready-made module matches. The app has no Make an API Call module, so you cannot call the provider directly from the toolkit. On a paid plan, a custom provider connection with OpenAI or Anthropic Claude is another route. If the need stays out of reach, the Hack'celeration team can look at your scenario and suggest another app or a different design.
05Should you use Make or n8n for AI text steps like these?
It depends on where your automations already live. Make AI Toolkit is a Make app, so its nine modules only exist inside Make scenarios and share one connection. If your team already builds in Make, adding these steps keeps everything in one editor. If you work in n8n, look at what its own nodes cover for your case before switching tools. Compare on your use case, not on the label.