Make.com Scenario as Pipeline

Reframe Your Existing Knowledge

erDiagram
    entity "Stripe Webhook" {
        Trigger: Payment Event"
        --
        Ingestion: Where data comes from"
    }
    
    entity "Make.com Router" {
        Transformation: Check Amount + History"
        --
        Logic: Route to paths"
    }
    
    entity "AWeber API" {
        Output: Create Subscriber"
        --
        Destination: Email Platform"
    }
    
    entity "HubSpot CRM" {
        Output: Update Contact"
        --
        Destination: CRM"
    }
    
    Stripe Webhook ||--o{ Make.com Router : "Ingestion"
    Make.com Router ||--o{ AWeber API : "Path 1"
    Make.com Router ||--o{ HubSpot CRM : "Path 2"

Your WagerBird flow IS a pipeline. Just new terminology: Ingestion → Transformation → Output.

Ingestion → Transformation → Output

graph LR
    A[Stripe API] --> B[Ingestion Layer]
    B --> C{Transformation}
    C -->|Whale| D1[AWeber: High-Value]
    C -->|VIP| D2[AWeber: Reward]
    C -->|New| D3[HubSpot: Onboarding]
    
    D1 --> E[Output: Email Sent]
    D2 --> E
    D3 --> E
    
    style A fill:#e0e7ff;
    style C fill:#fce4ec;
    style E fill:#d1fae5;

Same concepts you use in Make.com. Just standard pipeline architecture terms.

Your Current Stack as Pipeline

graph TD
    A[Stripe Webhook] --> B[Make.com HTTP]
    B --> C[Google Sheets Lookup]
    C --> D{Make.com Router}
    
    D -->|Whale| E1[AWeber API]
    D -->|VIP| E2[AWeber API]
    D -->|Repeated| E3[AWeber API]
    D -->|New| F[HubSpot API]
    
    E1 --> G[Slack Alert]
    E2 --> G
    E3 --> G
    F --> H[HubSpot: Contact Created]
    
    style A fill:#e0e7ff;
    style D fill:#fce4ec;
    style G fill:#d1fae5;

Draw your stack like this. Shows where n8n/Airtable fit in.

Pipeline Monitoring

Your "Verify-Then-Send" is a pipeline monitoring system:

graph TD
    A[Trigger: Before Send] --> B[Check Links]
    B --> C{All OK?}
    C -->|Yes| D[Send Campaign]
    C -->|No| E[Alert Slack]
    E --> F[Human Review]
    F --> B
    
    style D fill:#d1fae5;
    style E fill:#fee2e2;

Pipeline health = monitoring at each stage, not just end result.

Exercise: Document Your Pipeline

Goal: Create a Markdown document that describes WagerBird flow as a pipeline

  1. Draw diagram (use Mermaid or Excalidraw)
  2. Label each stage: Ingestion, Transformation, Output
  3. Add error handling at each stage
  4. Note where n8n/Airtable could replace Make.com

Claude Code Prompt:

"Help me document this pipeline architecture:
1. Diagram using Mermaid
2. Each stage: Ingestion, Transformation, Output
3. Error handling at each stage
4. Monitoring strategy (how you'd know if it breaks)"