Planning a Multimedia Content Creator
Instead of connecting modules immediately, you should define the goal, the data flow, and the responsibilities of each component so the final build is predictable, scalable, and easy to explain.
In real-world automation, successful scenarios almost always start with a clear plan. Without one, scenarios grow messy, logic becomes fragile, and even small changes turn into rewrites.
What This System Is Designed to Do
You are planning a multimedia content creator that takes one input and produces multiple platform-ready outputs. At a high level, the system:
- Pulls topical content from an RSS feed
- Filters incoming items using simple logic
- Sends approved content into multiple AI agents
- Stores each output in the format that makes the most sense
The result is a single automation that turns news or updates into ready-to-use content for different platforms.
Different content types use different storage. Short outputs like tweets go directly into Google Sheets for quick review and tracking. Longer content like LinkedIn posts or blogs is saved as Google Docs, with the document links written back to Google Sheets. This keeps the workflow clean while maintaining a single source of truth.
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Can you explain how the filtering logic works for the RSS items?
What types of AI agents are used for content generation?
How does the system decide which storage format to use for each output?
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Instead of connecting modules immediately, you should define the goal, the data flow, and the responsibilities of each component so the final build is predictable, scalable, and easy to explain.
In real-world automation, successful scenarios almost always start with a clear plan. Without one, scenarios grow messy, logic becomes fragile, and even small changes turn into rewrites.
What This System Is Designed to Do
You are planning a multimedia content creator that takes one input and produces multiple platform-ready outputs. At a high level, the system:
- Pulls topical content from an RSS feed
- Filters incoming items using simple logic
- Sends approved content into multiple AI agents
- Stores each output in the format that makes the most sense
The result is a single automation that turns news or updates into ready-to-use content for different platforms.
Different content types use different storage. Short outputs like tweets go directly into Google Sheets for quick review and tracking. Longer content like LinkedIn posts or blogs is saved as Google Docs, with the document links written back to Google Sheets. This keeps the workflow clean while maintaining a single source of truth.
Obrigado pelo seu feedback!
