Comparison

Rerun vs Make

Make builds automations as visual scenarios, one module at a time. Rerun gives you AI agents that take the goal and handle the steps themselves.

Last reviewed , against each product’s public pricing and docs.

The short answer

Pick Make when you want precise control over branching and data mapping on a canvas, at a low price per operation. Pick Rerun when the work needs judgment and you would rather not rebuild a scenario each time an input changes. Rerun is a flat $24 a month, with no credits spent per module.

Choose Make if

  • You like designing the exact data path yourself
  • Your volume is high and every run follows the same path
  • You need a specific app from their 3,000+ catalog

Choose Rerun if

  • Your scenarios keep growing routers and error handlers
  • You want the job done, not a canvas to maintain
  • Loops and polling are burning through your credits
  • You need an agent that remembers context between runs
Side by side

Rerun vs Make at a glance.

Rerun does what they do, without wiring the scenario.

Setup
Wire every module on a canvas
3 minutes, plug and play
Where it runs
Their cloud, on their terms
Your own private Box, included
Maintenance
You edit the scenario when an input changes
Autonomous and self-improving
Visibility
Execution history, module by module
A live dashboard you can read
Collaboration
Team roles from the Teams plan
Invite your whole team
Skills needed
No code, but their canvas to master
None
Cost
Billed per credit, every module spends one
Predictable plans
Key differences

Where Rerun and Make part ways.

Four differences that change your day to day, shown on the real product.

No canvas to wire

Connect your stack

A Make scenario is a chain of modules you place and map. A Rerun agent gets a job description, connects to Gmail, Notion or any of 190+ apps, and plans the steps itself.

Memory without building data stores

See how it learns

In Make, anything a scenario should remember goes into a data store you design. Rerun agents keep memory, files and databases on their Box, so they learn that this client always pays late without you adding a filter.

Invoice chasingChase overdue invoices without burning the client.skill

## Procedure

1. Pull unpaid invoices from Stripe daily

2. Send a first reminder on day 7 past due

3. Escalate to the account owner after 2 tries

4. Log every touch in the CRM thread

## Exceptions

- Never chase an invoice under $50

- Read references/tone.md before escalating

3files
Acme CorpWhat the agent knows about the account.context

## Billing

- Pays around day 30, sometimes later

- A PO number is required on every invoice

- Invoices go to ap@acme.co, not to Dana

## People

- Dana Reyes runs ops, answers within a day

- Escalations go through their COO

74%
Email toneHow the user wants leads written to.preference

## Voice

- English, formal, no emoji

- Sign off as the founder, not an assistant

- Keep it under 120 words

## Timing

- Follow up twice, then stop

- Send whenever the draft is ready

44%

Approvals built in

Set up approvals

An agent pauses before anything consequential and asks you in the app. No extra module, no webhook to wire back.

M
Margo · Invoice Chasing
Two invoices at acme.com are 20 days overdue. How should I chase them?
1
Send a firm reminder to billing@acme.com
2
Call their AP contact first
3
Escalate to the account owner
Something else

No credits per module

Automate a task

Make spends a credit on every module action, so loops add up. Rerun is one plan from $24 a month with unlimited runs.

listening
running

A payment just failed

Margo is chasing it

done

New email from a lead

Jules is drafting a reply

done

Every morning at 7:00

Sam sorted your inbox

Switching

Move from Make in three steps.

No migration project. Start with the one task that costs you the most, and let it prove itself.

Step 01
Chase invoicesEvery Monday
Reply to leadsOn every new email
Find 20 new leadsEvery day, 8:00

Pick the scenario you rebuild most

Write down what it should achieve in one or two sentences. That is the whole setup.

Step 02

Connect the same apps

One click per app. Run it on our AI, your own subscription or a local model.

Step 03
This morning07:00
  • Sort the inbox07:04
  • Chase 2 invoices07:09
  • Write the weekly reportRunning

Run both, then retire the scenario

Put the agent on the same schedule or trigger, compare a week of results, then pause the scenario.

Pricing

What you actually pay.

Make bills in credits, one per module action. The free plan includes 1,000 credits a month and paid plans start around $9 a month for 10,000 credits. Make AI Agents is still in beta. Rerun is one plan from $24 a month, unlimited runs.

Rerun

Everything you need to put agents to work

From$24/month

Add agents, Boxes, seats or model credit whenever you need them.

Start your free trial

7-day free trial · cancel anytime

Included
  • 3 agents

    Three agents running side by side, each with its own job and tools.

  • 1 Box

    Your own private computer in the cloud, where your agents live. Only yours, and your data stays inside it.

  • 1 seat

    Your own workspace, with extra seats whenever your team grows.

Also included
  • Bring your own AI

    Optional: your own key, subscription or local model.

  • 190+ apps

    All your tools ready to connect, plus any MCP or API.

  • Unlimited executions

    No run quotas. Your agents work around the clock.

  • Agent & Skill library

    Ready-made agents and skills, just drag and drop.

Further reading

More on Make and its alternatives.

Other comparisons

Weighing something else?

FAQ

Rerun vs Make, your questions.

Is Rerun a Make alternative?

Yes, when the work needs judgment rather than a fixed path. Make is excellent at precise data routing. Rerun agents read the input, decide what to do and ask you before anything risky.

Does Rerun use credits or operations like Make?

No. Rerun is a flat plan from $24 a month. Runs are unlimited, and you only add capacity, like agents, Boxes or seats, when you need it.

How is Rerun different from Make AI Agents?

Make AI Agents run inside scenarios and are in beta at the time of writing. A Rerun agent is the product itself: it lives on its own private Box, keeps memory and files between runs, and you watch its work on a live dashboard.

Can I keep Make and Rerun side by side?

Yes. Many teams keep simple, high-volume scenarios in Make and give the tasks that need judgment to Rerun agents.

Do I need to learn a canvas to use Rerun?

No. There is no canvas. You describe the job in plain words, connect your apps, and the agent sets itself up.

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