n8n vs Make vs Custom Scripts: When to Use What for AI Workflow Automation

I've built automations with all three approaches. Here's when each one wins and when it doesn't.

The Quick Answer

• Make (Integromat) — Best for non-technical teams, simple integrations, < 10 steps
• n8n — Best for technical teams, complex logic, self-hosted, AI integrations
• Custom scripts — Best for unique requirements, high volume, full control

Make (Integromat)

Strengths

• Beautiful visual builder
• 1,500+ pre-built integrations
• Zero infrastructure to manage
• Non-engineers can maintain it

Weaknesses

• Gets expensive at scale ($9-29/mo for basic, $99+ for real usage)
• Complex branching logic is awkward
• AI/LLM integrations are limited
• Vendor lock-in

Best for

• Marketing automation (email sequences, social posting)
• CRM sync between tools
• Simple approval workflows
• Teams where a non-engineer needs to maintain it

n8n

Strengths

• Self-hosted = no per-execution costs
• First-class AI agent support
• JavaScript/Python code nodes for custom logic
• Community nodes for niche integrations
• Can run on a $5/mo VPS

Weaknesses

• Requires some technical skill
• UI is less polished than Make
• Self-hosting means you manage uptime
• Fewer native integrations than Make

Best for

• AI-powered workflows (Claude, GPT, embeddings)
• Data processing pipelines
• Workflows with complex branching
• Cost-sensitive teams processing high volume
• Developers who want control

Custom Scripts (Python/Node)

Strengths

• Total control over every aspect
• Best performance at scale
• No platform limitations
• Can do literally anything

Weaknesses

• Highest build cost
• Requires developer to maintain
• No visual monitoring dashboard (unless you build one)
• Harder to hand off to non-technical team members

Best for

• High-volume data processing (1M+ records)
• Unique integrations with no existing connectors
• Real-time event processing
• ML model inference in the pipeline
• When the automation IS the product

Decision Matrix

Factor	Make	n8n	Custom
Setup time	1 hour	4 hours	1-3 days
Monthly cost (small)	$29	$0-5	$5-20
Monthly cost (large)	$299+	$20	$20-50
AI integration	Basic	Great	Full control
Maintenance	Easy	Medium	Hard
Scalability	Limited	Good	Best
Learning curve	Low	Medium	High

My Recommendation

Start with n8n for most automation projects. Here's why:

1. Free to start — self-host on any cheap VPS
2. AI-native — first-class Claude and GPT nodes
3. Escape hatch — code nodes let you do anything Make can't
4. Growing fast — the community is shipping new nodes weekly

Use Make when the person maintaining the automation is non-technical.

Use custom scripts when you need raw performance, unique integrations, or the automation is complex enough that a visual builder becomes a liability.

Real-World Example

A client needed: form submission → AI analysis → CRM entry → email notification → Slack alert

• Make: $49/mo, 2 hours to build, works but AI step is awkward
• n8n: $0/mo (self-hosted), 3 hours to build, AI step is clean
• Custom: $0/mo, 8 hours to build, overkill for this use case

We went with n8n. It's been running for 3 months with zero issues.

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