Build Powerful AI Agents on HATZ AI: A Step-by-Step Guide
This video provides a practical guide on building AI agents within the HATZ AI platform, differentiating them from apps and workflows. It walks through the agent creation process, covering naming, descriptions, system prompts, AI model selection, file access, and tool integration. The tutorial culminates in demonstrating how to leverage an agent to generate a new agent based on user input, showcasing its power for knowledge sharing and AI skill distribution.
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Key Moments
Key Quotes
"Agents are kind of the outlier in the workshop. They can probably be the most powerful of the three different kinds of templates, but they are built a bit differently."
"This is where you're going to put that persona, the tone, the role, the output format that you want. You're going to tell the agent how to behave over here."
"A very common one for these agents is something like firecrawl for web search, web scraping, outlook, salesforce. Another really common one is one drive and sharepoint."
"Your job is to help people build a good quality hats agent and the hatsai platform by using what you know about hats and system prompts to take the user's input and turn it into a great agent."
"These agents can be incredibly powerful tools to share knowledge and share access to different AI skills across your team."
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