HATZ AI Platform: Secure AI Integration for Industrial Engineers

Accessing Lab Report & Resources

The host directs attendees to a documentation page to download the 'latest April 1st lab report' which contains materials for the session, highlighting its utility for note-taking and review.

Introduction to HATZ Lab Sessions

This segment explains that HATZ Lab is a live building session to demonstrate how the HATZ team creates AI workflows and agents, emphasizing use case ideation, prompt engineering, and workshop understanding.

HATZ Platform Overview & Agenda

The speaker outlines the session's agenda, including a refresher on HATZ, the anatomy of AI, building use cases in chat, workflows, and agents, and covering resources and next steps.

What is HATZ: AI Tool Curation

HATZ is defined as a platform that curates over 65 AI models and more than 50 integration methods, allowing users to connect various AI tools to their data securely without needing multiple subscriptions.

HATZ Solves Security & Adoption

The platform's primary problems solved are security (preventing 'Shadow AI' and data breaches) and adoption (meeting users where they are with templates and education), with use case development being the third focus.

Anatomy of AI Use Cases: Input, Role, Output

Every AI use case fundamentally consists of three non-negotiable parts: input (how you start AI), the role of AI (what it does), and output (what it creates), emphasizing the need for clear definition.

Defining Input/Output Format & Location

The importance of understanding the format (e.g., plain text, PDF) and location (e.g., SharePoint) of inputs and outputs is stressed, as this affects what AI can do and what tools it needs access to.

AI's Role: The 'Verb' in Prompting

The speaker highlights that the role of AI must be defined by a clear 'verb' in the prompt (e.g., 'summarize,' 'generate,' 'search') to guide its action and prevent assumptions, ensuring desired outcomes.