Daniéla de Lange

Magic Daniéla de Lange

Exploring the art of creative automation and AI-powered visual workflows.

Discover The Magic

Full Interview

Full Interview

Amazing Song

Amazing Song

Speaker Introduction

Speaker Introduction

Interview Highlights

Interview Highlights

Automation Workflows

Lead Qualification Automation

1
Webhook Trigger
2
HTTP Request to LinkedIn API
3
JSON Parse
4
Function to Filter Leads
5
Set Node for Ideal Buyer Scores
6
Slack Notification for High-Scoring Leads
7
If/Else Condition for Follow-Up
8
Google Sheets Integration to Log Leads
9
Email Notification to Sales Team
10
Finalize Process

This workflow automatically qualifies potential leads from LinkedIn based on ideal buyer profiles defined by the user. Reduces manual effort in lead qualification, saves time, and ensures only high-quality leads are followed up.

Creative Pipeline Integration

1
Webhook Trigger
2
HTTP Request to MidJourney API
3
Function to Define Style Parameters
4
Google Drive Integration to Store Outputs
5
Slack Notification with Preview
6
If/Else Condition for Feedback Loop
7
Email Notification for Client Review
8
Update Google Sheets with Feedback
9
Function to Adjust Render Based on Feedback
10
Finalize Integration

This workflow generates creative concepts using AI and manages client feedback to streamline the creative process. Eliminates the need for excessive manual rendering, provides quick iterations based on client input, and enhances collaboration with the client.

Pitch Presentation Enhancement

1
Webhook Trigger
2
HTTP Request to Google VO API
3
Function to Generate Previs Clips
4
Google Drive Integration to Store Clips
5
Slack Notification for Team Review
6
If/Else Condition for Final Edits
7
Google Slides Integration for Presentation Creation
8
Email Notification for Presentation Preparation
9
Function to Schedule Presentation
10
Finalize Process

This workflow produces quick preview clips for client pitches and prepares a presentation based on the generated content. Reduces time spent on pitch development, allows for visual representation of ideas, and increases the likelihood of securing projects.

Quality Control for AI Outputs

1
HTTP Request to MidJourney API
2
Function to Set Reference Parameters
3
Google Drive Integration to Compare Outputs
4
Slack Notification for Quality Review
5
If/Else Condition for Quality Assurance
6
Email Notification for Feedback Collection
7
Function to Revise Parameters Based on Feedback
8
Google Sheets Update for Tracking Changes
9
Finalize Quality Assurance Process

This workflow ensures the quality of outputs generated by AI tools by comparing them against predefined standards and iterating based on feedback. Addresses the variability in AI-generated outputs, maintains a high standard in creative work, and facilitates ongoing improvement in the output quality.