HATZ AI Chat Interface: LLM & Tool Integration for Engineers

LLM Selector & AI Models

The video introduces the LLM selector, explaining how to choose between different AI models (OpenAI, Google, Anthropic) and filter them by platform or capability.

Understanding Model Attributes

It details how to interpret model descriptions and attributes like intelligence, speed, vision, reasoning, and cost, which help users select the best AI for their task.

Tool Selector & Integrations

The tool selector is introduced, differentiating between built-in tools (e.g., Perplexity, Firecrawl) and connected/available integrations (e.g., Microsoft 365, Fireflies).

Auto Tool Feature

The auto tool feature is explained as a way to automatically select the most appropriate tool for a given prompt, simplifying complex tool usage for new users.

Code Execution for Document Analysis

A deep dive into the code execution tool, highlighting its ability to analyze, interpret, and manipulate documents (Excel, PDF, Word) using AI-generated Python code without manual coding.

Managing Chats: Pinning & Folders

The video demonstrates how to organize chats using pinning and folders, allowing users to categorize conversations by project, client, or AI model for better management.

Asking AI How to Use AI

A key piece of advice is given: to ask the AI itself how to optimize processes or improve prompting, leveraging AI to learn about AI applications.