Build AI Workflows: Automate Content Creation with HATZ AI

Building a Workflow From Scratch

The video introduces its core purpose: to show the complete process of building an AI workflow from ideation to a finished product, without heavy editing.

Identifying the Problem & Outputs

The host explains the problem of manually creating multiple content pieces (use cases, blog posts, video scripts, etc.) for each new HATZ feature and outlines the desired automated outputs.

Diagramming the Workflow Inputs & Outputs

Using Canva, the host visually maps out the workflow, identifying the 'new feature documentation URL' as the single input and five distinct content pieces as outputs.

AI's Role: Workflow vs. Agent vs. App

The host discusses why a 'workflow' is the best AI solution for this problem, explaining why 'agents' and 'apps' are not suitable for generating multiple outputs simultaneously.

Enabling Web Search Tools (Firecrawl)

The video details the necessity of enabling web search tools, specifically Firecrawl, to scrape information from the input URL, emphasizing its efficiency over other search tools.

Setting Up the Workflow Input

The host demonstrates creating the initial input step in the HATZ AI workshop, configuring it as a 'short answer' URL field and naming it 'new feature documentation'.

Configuring Multi-Output Prompt Steps

The host shows how to add multiple branching prompt steps for each desired output (use case, blog post, etc.), ensuring each step references the initial scraped documentation.