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Build an AI Logo Generator

Create a production-ready logo generator that produces 10 unique SVG designs from a single description. Build it step-by-step, node by node.

15 min readBeginner FriendlyDecember 25, 2025
Complete AI Logo Generator Workflow
10
Designs Per Run
30s
Generation Time

Two-Layer Architecture

Flow Playground

The processing engine. Contains AI prompts, data operations, and business logic.

We'll build this first

App Playground

The user interface. Connects UI elements to flows via Flow Execution nodes.

We'll build this second

Part 1: The "Create New Logos" Flow

This flow generates 10 unique logos in parallel. Let's see the complete flow first, then break down each node.

Complete Flow (Left to Right)

API Input
description: string
Entry point
Iterator
Array: [1-10]
10 parallel threads
Parallelizer
⚡10x parallel
Prompt
Generate SVG Logo
Model: GPT-4.1
Temp: 0.8
AI Generation
Dataset (Write)
Logo Designs
Saves 10 logos
Storage
API Output
Returns array
of 10 logos
Exit point
Data flows left to right. Each node processes and passes data to the next via the blue connection handles.

Breaking Down Each Node

API Input
Input Fields:
• description (string)
• required: true
What it does:

Receives logo description from the app form.

Output:

Passes the description to the next node via the right output handle.

Example input:
{ "description": "minimalist mountain logo" }
Iterator
Input array:
[1,2,3,4,5,6,7,8,9,10]
Creates 10 parallel threads
What it does:

Splits array into 10 threads. All logos generate simultaneously.

Why it matters:

Speed! Sequential processing would take ~5 minutes (10 logos × 30s each). Parallel processing takes only 30 seconds total.

Output:

Each thread outputs its iteration number (1-10) to the next node, along with the original description.

⚡10x parallel
Prompt
Generate SVG Logo
Model: GPT-4.1
Temperature: 0.8
Max Tokens: 2000
Schema: Enabled
What it does:

Sends prompt to GPT-4.1 to generate SVG logo. Runs 10x in parallel.

Input variables:
  • description - User's logo request
  • iteration - Number 1-10 for variation
The prompt:
You are an expert logo designer. Generate a unique SVG logo. Description: {{description}} Variation: #{{iteration}} Requirements: - Valid SVG (viewBox="0 0 200 200") - Simple, scalable shapes - 2-3 colors max - Modern aesthetic Output as JSON with svg_code.
Output:

Returns structured JSON containing the SVG code, design notes, and color palette.

Dataset (Write)
Logo Designs
Automatically saves all generated logos
What it does:

Saves all 10 logos to cloud storage with metadata.

Why we need it:
  • • Required for the "Improve" flow to retrieve existing designs
  • • Enables design history and version tracking
  • • Powers analytics on popular styles
  • • Allows building "My Designs" gallery pages
What gets stored:
{ "svg_code": "<svg>...</svg>", "description": "minimalist mountain logo", "design_notes": "Used geometric...", "color_palette": ["#2C3E50", "#3498DB"], "iteration": 1, "timestamp": "2025-01-02T10:30:00Z" }
Output:

Passes the data through to the next node (for chaining).

API Output
Aggregates all results
Returns to App
What it does:

Collects all 10 outputs and returns array to App Playground.

Output format:
{ "success": true, "count": 10, "logos": [ { "svg": "<svg>...</svg>", "notes": "..." }, { "svg": "<svg>...</svg>", "notes": "..." }, // ... 8 more ], "execution_time_ms": 28500 }
Create Flow Summary

Input (description) → Iterator (10 threads) → AI Prompt (generates SVG × 10) → Dataset (saves) → Output (returns array)

Time: 30s
Parallel execution
Output: 10 logos
Unique variations

Part 2: The "Improve Existing" Flow

This flow retrieves saved logos and applies AI-powered improvements. Similar structure to Create, but starts with Dataset Source.

API Input
feedback: string
User feedback
Dataset (Read)
Retrieves saved logos
Load existing
Iterator
Per logo
Process each
Prompt
Improve SVG
AI refinement
Dataset (Write)
Save improved
Storage
API Output
Return refined
Exit

Key Differences from Create Flow:

  • Dataset Source instead of starting fresh - retrieves previously generated logos
  • Prompt receives existing SVG - analyzes and improves rather than generates from scratch
  • Preserves design intent - maintains core concept while addressing feedback
Improvement Prompt Example:
Analyze this SVG logo and improve it. Original SVG: {{existing_svg}} Original Notes: {{design_notes}} User Feedback: {{feedback}} Make targeted improvements while maintaining the core design concept. Return valid SVG.

Part 3: The App Playground (User Interface)

Now that we have both flows built, let's create the UI that connects to them. The App Playground uses Flow Execution nodes to call our flows.

Complete App Structure

Input Layer
Text Input
Describe your logo
Checkbox
Improve existing design
Routing Layer
Condition
Is TRUE
TRUE (improve)
FALSE (create)
Flow Execution Layer (Bridge to Flows)
Flow Execution
Improve Flow
Calls Part 2
Flow Execution
Create Flow
Calls Part 1
Display Layer
Image Gallery
Displays 10 logos

How Flow Execution Nodes Work:

1. Configuration: You select which saved flow to execute (either "Create" or "Improve")
2. Input Mapping: The node automatically detects the flow's API Input fields and maps data from UI nodes
3. Execution: When triggered, it calls the flow and waits for results
4. Output: Returns the flow's API Output data back to the App for display
Complete User Journey:
  1. 1. User types "minimalist mountain logo"
  2. 2. User leaves checkbox unchecked (new logos)
  3. 3. User clicks generate button
  4. 4. Condition routes to "Create" Flow Execution node
  5. 5. Flow Execution calls "Create Flow" from Part 1
  6. 6. Flow generates 10 logos in 30 seconds
  7. 7. Flow Execution receives results
  8. 8. Image Gallery displays all 10 logos

Deployment

REST API

Deploy your App as an API endpoint

POST api.evaligo.com/app/your-app-id

Embed Widget

Embed the App UI in your website

<iframe src="app.evaligo.com/embed/..." />

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