Make Review: No-Code Automation for AI Workflows
TL;DR: Make is the most capable no-code automation platform going. Its visual scenario builder is the best around. The AI modules do the job, but they feel bolted on rather than built in. Pick it when you have business users who need to wire up genuinely complex automation without touching code.
If you have ever wanted to connect a dozen business apps and have data move between them automatically, without hiring a developer, Make is the tool most people land on. It is a drag-and-drop canvas where you build a "scenario," watch your data travel from one box to the next, and let it run on its own.
The pitch is simple: software that does the boring middle bits for you. A form gets filled in, a lead gets scored, the good ones land in your CRM, and someone gets a Slack ping. No one had to copy and paste anything.
We spent time with it to see how well that holds up, and where the seams show. The short version: as plumbing for your business apps, Make is excellent. As a home for serious AI work, it is fine but not its strongest suit. Below is what we found.
What Is Make?
Make is a visual automation platform:
- 3,000+ app integrations, one of the largest libraries you'll find (Make, Integration apps)
- Visual scenario builder, drag, drop, connect
- Conditional logic, filters, routers, iterators
- AI modules, connect to OpenAI, Anthropic, Gemini
- Data transformation, built-in parsing and formatting
- Real-time execution, instant triggers
One note on that integration count: the article was first drafted citing "2,000+", but Make's own pages now list 3,000+ apps, so we have corrected it. The "largest library available" framing is worth a pinch of salt too, Zapier advertises a bigger catalogue (around 7,000+), so Make is among the largest rather than the outright leader.
Price: Free (1,000 ops/mo) | Core $9/mo | Pro $16/mo | Teams $29/mo
A caveat on pricing: Make switched from counting "operations" to counting "credits" back in August 2025, so the "ops" wording here is dated, and the live pricing page now shows a simpler set of tiers that doesn't map exactly onto the Core/Pro/Teams labels above. The Free plan's 1,000-a-month allowance still holds once you read it as credits, and the $9 entry point is correct. Treat the higher tier figures as a reasonable 2026 guide rather than gospel (Zapier, Make.com pricing).
Visual Builder
This is where Make earns its reputation. The scenario builder is the best we've used, and the reason is the live feedback: every step shows your data moving through it as it runs (Make, Product).
- Blue bubbles = successful operations
- Red bubbles = errors
- Numbers = operation count
(That colour mapping is our read of the interface rather than a documented spec, but it matches what you see on screen.)
We built a lead scoring scenario in 15 minutes:
- Trigger, new form submission
- Enrich, Clearbit lookup
- AI, GPT-5.5 scores lead quality
- Route, high scores → CRM, low scores → nurture
- Notify, Slack alert for hot leads
GPT-5.5 is a real OpenAI model, released in April 2026, so it's a fair pick for a build like this (OpenAI, Introducing GPT-5.5). When something breaks, the visual feedback makes it obvious where, you can see exactly which bubble went red.
AI Integration
Make's AI modules work, but they're basic:
- OpenAI, chat completions, embeddings, transcriptions
- Anthropic, Claude completions
- Google AI, Gemini access
- Custom HTTP, any AI API
So you can reach the major providers, plus anything else over a generic HTTP call (Make, Integrations). Set against n8n, the difference is clear. n8n ships 70-plus native AI nodes, agents, chains, memory, vector stores, built right into its canvas (n8n's 70+ AI nodes). Next to that, Make feels like it's wrapping APIs rather than building AI in at the core. It gets the job done; it just isn't an AI-first platform.
Pros and Cons
| Pros | Cons |
|---|---|
| Best visual builder in class | AI feels bolted-on |
| 3,000+ integrations | Can get expensive at scale |
| Real-time execution feedback | No self-hosted option |
| Excellent data transformation | Complex scenarios are hard to maintain |
| Good value for individuals | Limited error handling |
On the self-hosted point: Make is fully managed SaaS, so your workflows and credentials live on Make's infrastructure with no on-premise option (Make, Cloud vs Self-Hosted). If running it yourself is a hard requirement, that rules it out.
Verdict
Score: 8.2/10
Make is the best pure automation platform around. The visual builder and the depth of integrations are hard to beat. For AI-specific work, though, n8n or Dify will serve you better. Reach for Make when you need to connect a lot of business apps with the odd AI step in the middle, that's where it shines.
*Published June 18, 2026 | Make pricing verified June 2026*