In this lesson, we'll create an AI content generator that takes a content brief as input and produces a well-researched, human-like article. This app builds upon our previous content brief generator.

App URL

Key Components

  1. Inputs:
    • Target keyword
    • Content brief
  2. Research Functions:
    • Three parallel Perplexity models for gathering:
      • Statistics
      • Quotes from industry leaders
      • Recent news
  3. Content Generation:
    • Claude 3.5 model for writing the final draft

Step-by-Step Process

  1. Set Up Inputs:
    • Add two text inputs: one for the target keyword and another for the content brief.
  2. Configure Research Agents:
    • Add three Chat Model nodes, all using the Perplexity model.
    • Set each to focus on a specific research area: statistics, quotes, and news.
    • These will run in parallel for efficiency.
  3. Test Research Output:
    • Add three output nodes to display results from each research agent.
    • Run a test using a sample keyword (e.g., "how to manage product teams").
    • Review the outputs to ensure quality and relevance.
  4. Add Content Generation Step:
    • Insert a final Chat Model node using Claude 3.5.
    • Craft a detailed prompt that includes:
      • Guidelines for tone and style (e.g., opinionated and confident)
      • Instructions to write in first person using "I" instead of "we"
      • Directions for incorporating research findings
  5. Test Complete Workflow:
    • Run the entire app to generate a full article.
    • Verify that the output includes statistics, quotes, and maintains the desired tone.
  6. Fine-tune Output:
    • Use the "Edit with AI" feature to make further improvements to the draft.

Best Practices

  • Parallel vs. Sequential Execution: Position nodes in the same column for parallel execution, or in sequence for dependent tasks.
  • Dynamic Syntax: Use double brackets {{}} to reference outputs from previous nodes.
  • Prompt Engineering: Carefully craft prompts to guide AI models in producing desired outputs.
  • Iterative Testing: Regularly test your app at different stages to ensure each component functions as expected.

Next Steps

In the following lesson, we'll explore how to enhance this content by automatically injecting internal links into the generated draft.

Remember, you can clone this app from the provided link to examine the full prompts and configuration details.