HATZ AI: Build System Prompts Faster with AI Automation

AI to build AI better

The speaker introduces the core concept of using AI to improve AI development, such as prompt engineering and system prompt creation, highlighting the Hats Workshop assistant.

AI defines its input needs

The speaker describes an innovative approach: asking the AI how it prefers to receive information for creating a system prompt, leading to a structured set of six required inputs.

Automating system prompt creation

The video explains how to turn the AI's requested inputs into a repeatable workflow using the Hats Workshop assistant, which automatically collects these inputs and writes a system prompt.

System Prompt Builder in action

The speaker demonstrates the newly created 'System Prompt Builder' workflow, showing its two steps: collecting inputs and then generating a polished system prompt.

Example: HubSpot expert agent

A practical example is provided, using the builder to create a system prompt for a 'HubSpot expert' agent, defining its persona, goal, audience, and tone.

Deploying the generated prompt

The video shows how quickly the system prompt is generated and how easily it can be copied and pasted directly into a new agent's instructions within the Hats platform.

Efficiency and replicability

The speaker emphasizes the benefits of this approach for organizations building many AI tools: increased efficiency, replicability, and faster development of agents and workflows.