Frank Cuiuli

Exploring the art of automation and AI-powered creativity.

Discover The Magic

Full Interview

Amazing Song

Speaker Introduction

Interview Highlights

Automation Workflows

AI-Driven Employee Engagement Workflow

Trigger

Google Sheets (New Row)

HTTP Request (Call AI Agent)

Function (Process Response)

Slack (Send Message to Employee)

Google Calendar (Create Event)

HTTP Request (Call Additional Services)

Function (Handle Errors)

Quality Control (Check Message Format)

Notion (Log Engagement)

This workflow automates the process of engaging employees based on responses to AI prompts. It allows for timely follow-ups and ensures any insights from employee interactions are logged for future reference. Pain points alleviated include manual tracking of employee engagement activities and inconsistent follow-ups.

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AI-Based Project Health Monitoring Workflow

Trigger

Salesforce (New Case)

Function (Extract Data)

HTTP Request (Call AI Analysis Service)

Function (Analyze Project Status)

Slack (Notify Team)

Google Sheets (Update Project Status)

Function (Handle Errors)

Quality Control (Check Data Integrity)

Notion (Document Insights)

Email (Notify Management)

This workflow automates the monitoring and reporting of project health by integrating with Salesforce to analyze cases and provide real-time updates to the team. Pain points alleviated include delayed awareness of project issues and lack of centralized documentation for ongoing projects.

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AI-Enhanced Training Feedback Loop Workflow

Trigger

Google Forms (New Response)

HTTP Request (Call AI Feedback Analyzer)

Function (Process Feedback)

Google Sheets (Update Training Logs)

Slack (Send Summary to Trainer)

Function (Handle Errors)

Quality Control (Verify Response Accuracy)

Email (Notify Participants)

Google Calendar (Schedule Follow-Up Meeting)

Notion (Track Feedback Trends)

This workflow automates the collection and analysis of training feedback, providing trainers with actionable insights and scheduling follow-ups. Pain points alleviated include manual feedback processing and lack of structured follow-up actions for improvement.

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AI Agent Development Workflow

Trigger

Google Sheets (New Row for Agent)

Function (Extract Agent Details)

HTTP Request (Deploy AI Agent)

Function (Monitor Deployment Success)

Slack (Notify Team of Deployment)

Google Sheets (Log Agent Performance)

Function (Handle Errors)

Quality Control (Verify Deployment Status)

Email (Update Stakeholders)

Notion (Document Agent Development)

This workflow streamlines the deployment process of new AI agents, ensuring proper monitoring and documentation of each agent's performance. Pain points alleviated include inconsistent agent release processes and lack of visibility into deployment metrics.

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