Hats AI Lab: Image Generation & AI Workflow Automation

Introduction to Hats Lab and Hosts

Mark Leaper, Director of AI Adoption at Hats AI, and Mike McPaten, from the AI experience team, welcome attendees to the Hats Lab session.

Lab Focus: Image Generation & Workflows

The hosts explain that the lab will center around image generation, prompt engineering best practices, and building workflows and agents on the Hats platform.

Housekeeping & Community Resources

Important information is shared regarding feature requests via the Canny board, sales inquiries, and feedback surveys, along with access to previous lab recordings on YouTube.

What is Hats AI Platform?

Hats is described as a no-code platform curating over 70 AI models, offering control over AI interactions and secure data integration with more than 80 data sources.

Problems Hats AI Solves

The platform addresses security concerns (shadow AI), promotes AI adoption through built-in education, and enables the creation of repeatable AI use cases to save time and money.

Anatomy of AI: Input, AI Role, Output

The fundamental structure of every AI use case is explained, comprising an input, the role of AI, and an output, applicable from simple chats to complex workflows.