Overview
A visual automation platform for building app-to-app workflows, including AI steps and operational routing.
Key features
- Visual scenario builder with branching logic
- Operations are far cheaper than Zapier tasks
- Iterators/aggregators handle arrays natively
- AI modules from OpenAI, Anthropic, and more
- Error handlers with retries and fallbacks
Trial checklist
Use a real task involving operations automation—not a demo prompt. Verify whether visual scenario builder with branching logic materially reduces editing or setup time. Record output quality, time to a publishable result, and total plan usage. Pay particular attention to more complex than simple zaps so factor that into your monthly budget. Repeat the same task in at least one alternative before deciding.
Pricing
Current official summary: At the displayed 10,000-credit tier: Free is $0 with up to 1,000 credits/month; Core is $12/month; Pro is $21/month; Teams is $38/month; Enterprise is sales-led. Most module actions use 1 credit, while AI features using Make's AI Provider can consume an operation credit plus token-based credits. Make's AI Provider is available on all plans; custom AI-provider connections are available on paid plans. Credits normally expire at the end of the subscription term, and extra-credit bundles are available on eligible paid plans.
Open verification questions
- No current official Make AI-specific provision assigning ownership of generated output to the customer was verified; the general Master Services Agreement is therefore not presented as an output-rights guarantee.
- The no-training statements were verified for Make AI Toolkit and Maia, but a single universal statement covering every Make AI feature, every connected third-party provider, and every customer configuration was not found.
- The AI Toolkit statement that Make does not store data must be read alongside its explicit statement that interaction logs are retained in scenario logs for 30 days.
- AI Agent functionality and pricing remain subject to beta-era changes where the applicable documentation labels the feature beta.
Official documentation says Make AI Toolkit can analyze sentiment, categorize, identify language, extract, standardize, summarize, translate, and chunk text. Its documentation states that Make does not store submitted AI data or use it to train AI, while separately noting that interaction data remains in standard scenario logs for 30 days. Make's Maia system card says prompts, scenario structures, and outputs are not used to train or fine-tune the underlying LLM; calls sent to an AI provider remain subject to Make's data-processing agreement with that provider. For Make AI Agent, use with Make's provider generally costs 1 credit per operation plus token/tool/embedding usage; custom-provider use generally costs operation credits while the external provider bills model tokens.
Pricing changes often — verify current plans on the official site before buying. Dated snapshots: Pricing Watch.
Use cases
- Operations automation
- Data syncing
- AI workflow steps
- Notifications
- Syncing form responses into a CRM automatically
- Routing support tickets by topic and urgency
Pros
- Flexible visual builder
- Good multi-step control
- Large integration set
Cons
- More complex than simple zaps
- Requires testing and monitoring
Who Make is for
Make is aimed at teams and individuals who need visual automation scenarios and multi-step operational workflows. It is designed for automation workflows where output quality, adoption effort, and operating cost all matter. Compare alternatives first if you require self-hosting, unusually deep customization, or tighter policy controls than the official plan provides.
Buying decision
Visual automation scenarios and multi-step operational workflows is the repeated job you need to improve.
More complex than simple zaps.
Run the trial checklist above and verify the current plan limit on the official pricing page.
Verdict
Bottom line: Make has an AIToolsEssentials editorial score of 4.3/5. Flexible visual builder. The main trade-off to weigh: more complex than simple zaps.
Test it against one real task from your workflow this week — that tells you more than any review.
How Make compares
Within automation, Make goes up against Zapier AI, n8n, Whop CLI and 1 others. Its edge is flexible visual builder. Weigh that against the cons above — especially: more complex than simple zaps — then check our side-by-side comparisons for task-level results before you commit.
How we evaluated
The AIToolsEssentials rating is an editorial score—not an external benchmark. It summarizes job fit, likely output quality, ease of adoption, and operational cost using published product information, benchmark context where the exact model is identifiable, and the repeatable trial checklist above. Benchmarks never determine the final product rating by themselves. See our editorial methodology, evidence ledger, and benchmark evidence policy.
Frequently asked questions
Make vs Zapier?
Make is cheaper and more powerful for complex logic; Zapier is easier with a bigger app catalog. Our Zapier vs Make vs n8n comparison has task-by-task costs.
What's an operation?
Each module execution. One scenario run can be many operations.
Is Make hard to learn?
Moderately — expect a few days to feel fluent vs hours for Zapier.