Jeremy Schiff

Magic Jeremy Schiff

Transforming businesses through intelligent automation and AI-powered solutions.

Discover The Magic

Full Interview

Full Interview

Amazing Song

Amazing Song

Speaker Introduction

Speaker Introduction

Interview Highlights

Interview Highlights

Automation Workflows

Lead Generation and Segmentation

1
Client Intake Form
2
Data Storage (Database)
3
ChatGPT (Segmentation and Description Generation)
4
Salesbot (Lead Generation)
5
Data Validation (Email and Phone Number Verification)
6
Quality Control Check (Review Segmentation and Generated Leads)
7
Email Sending (Outbound Campaign)
8
Response Handling (Tracking Replies)
9
Feedback Loop (Integrate Client Feedback into Process)
10
Reporting (Performance Metrics)

This workflow generates targeted leads based on client requirements and verifies their contact information for accuracy. Reduces manual research time, ensures accurate contact data, and enhances client communication efficiency.

Follow-Up Email Automation

1
AI Notetaker (Fathom)
2
Data Extraction (Transcribe Meeting Notes)
3
ChatGPT (Email Draft Generation)
4
Quality Control Check (Review Draft Content)
5
Email Formatting Node
6
Gmail (Send Email)
7
Email Tracking (Open and Click Rates)
8
Response Handling (Aggregate Replies)
9
Feedback Loop (Integrate Insights for Future Emails)
10
Reporting (Follow-Up Success Metrics)

Automates the creation and sending of follow-up emails based on meeting notes. Minimizes the time spent on drafting emails and ensures consistency in communication.

Image Generation for Marketing

1
Image Prompt Creation
2
Midjourney (Generate Image)
3
Quality Control Check (Review Generated Images)
4
Data Storage (Store Approved Images)
5
Marketing Platform Integration (Upload Images)
6
Campaign Scheduling Node
7
Reporting (Campaign Performance Analysis)
8
Feedback Loop (Integrate Marketing Insights for Future Images)
9
Error Handling (Notify of Generation Failures)
10
Review Node (Team Approval)

Generates marketing images based on prompts and stores them for future use. Streamlines the image creation process, enhances marketing material quality, and ensures team collaboration.

Data Pipeline for Market Research

1
Data Collection Node
2
Data Cleaning Node
3
ChatGPT (Data Analysis and Interpretation)
4
Data Storage
5
Quality Control Check (Verify Data Integrity)
6
Visualization Tool Integration (Generate Graphs/Charts)
7
Reporting (Market Insights Generation)
8
Feedback Loop (Adjust Research Based on Responses)
9
Distribution Node (Send Reports to Stakeholders)
10
Archiving Node (Store Historical Data)

Collects and analyzes market research data, providing actionable insights for stakeholders. Reduces time for data analysis, improves data reliability, and facilitates stakeholder access to key insights.