Originally published byDev.to
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:
- Free to start — self-host on any cheap VPS
- AI-native — first-class Claude and GPT nodes
- Escape hatch — code nodes let you do anything Make can't
- 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.
Not sure which approach fits your workflow? Get an async audit →
🇺🇸
More news from United StatesUnited States
NORTH AMERICA
Related News
How Braze’s CTO is rethinking engineering for the agentic area
10h ago
Amazon Employees Are 'Tokenmaxxing' Due To Pressure To Use AI Tools
21h ago

Implementing Multicloud Data Sharding with Hexagonal Storage Adapters
15h ago

DeepMind’s CEO Says AGI May Be ~4 Years Away. The Last Three Missing Pieces Are Not What Most People Think.
15h ago

CCSnapshot - A Claude Code Configs Transfer Tool
21h ago