Testing and Verifying Your AI Agent Workflow | Alpha | PandaiTech

Testing and Verifying Your AI Agent Workflow

Testing steps by uploading a file to Google Drive and verifying the output results across Google Docs, LinkedIn, and Slack.

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Key Insights

Importance of the System Prompt

Output formats like 'Hooks' and 'Steps' in Google Docs are the result of specific Custom Instructions or System Prompts. If you want a different structure, you will need to modify those AI instructions.

LinkedIn Optimization Tip

The AI Agent can post automatically to LinkedIn, but to boost engagement, you might want to manually add line breaks or emojis—or update the prompt to include them automatically.

Slack Notification Function

Use Slack notifications as a command hub to monitor the AI Agent's status. Including a direct link within the Slack message saves time by eliminating the need for manual searching.
Step by Step

AI Agent Workflow Testing & Validation Steps

  1. Upload or copy the video script file into the designated Google Drive folder within the workflow.
  2. Wait a few seconds for the AI Agent to detect the new file and begin the repurposing process.
  3. Open Google Docs to review the automatically generated YouTube Shorts script rewrite.
  4. Verify that the output format in Google Docs (such as Hooks and Steps) aligns with the provided System Prompt/Custom Instruction.
  5. Log in to your LinkedIn account (Business/Personal Profile) and check the 'Posts' section to view the automatically published post.
  6. Ensure the LinkedIn post text uses a tone suitable for the platform (typically less structured than the Shorts script).
  7. Open the Slack app and navigate to the designated notification channel.
  8. Click the link sent by the AI Agent in Slack to ensure it leads directly to the correct output document.

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