HATZ AI Lab: Building Effective AI Use Cases & Workflows
This HATZ AI Lab session guides industrial engineers through building effective AI use cases, focusing on the platform's no-code chat, workflows, and agents. It emphasizes a structured approach to AI adoption by defining inputs, outputs, and the specific role of AI before prompting, ensuring high-quality results and secure data handling.
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Key Moments
Key Quotes
"If you can't answer these questions, what kind of info am I giving AI? Where does that live now? And what do I need it to actually create for me or give me back? You're not going to get the best output, the highest quality output."
"One of the most common problems that people have when they're using AI is that they don't love the output. They don't, you know, the quality of the output is not what they expected."
"Be very clear every time you're writing a prompt. Be very clear with what you want it to do, the intended action that you want that AI to take."
"This is probably the most important slide that we will look at today. It's sort of a matrix of use case ideiation and the kinds of use cases that you're going to build in the hats platform, the effort that you put into them and the impact that they have."
About this video
Join the next LAB! https://hatz.ai/hatz-lab What is Hatz? Hatz is the secure AI platform for your business. With access to more than 50 AI models in one place, including the newest LLMs from Gemini, OpenAI, Anthropic, Mistral, and integrations with your other tools like Microsoft, Salesforce, Hubspot, Zapier, n8n, Make, and ConnectWise, you can let Hatz become the AI operating system for your organization. Learn how to build your AI future at https://hatz.ai/ Connect with us on LinkedIn: / hatz-ai Chat with our AI Agent, Lark Meeper: https://docs.hatz.ai/en/
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