Building the Multimedia Content Creator
You move from planning into building. Your goal is to assemble the first working version of the multimedia content creator and verify that the logic and AI outputs behave as expected.
Initial Setup
Before opening Make.com:
- Create a Google Sheet with columns: Source link, Source title, Tweet, Blog post, LinkedIn post
- Create a Google Drive folder for future documents
Build the RSS Input
Create a new scenario and add Retrieve RSS Feed Items as the first module.
Generate an XML feed using a tool like RSS.app. Use a broad topic such as tech to ensure AI-related headlines appear. Paste the feed URL into Make, set the maximum items to 10, and save the module.
Filter for AI Headlines
Add a router after the RSS module and run the scenario once to load sample data. Create a filter using:
- Field: Title
- Operator: contains (case sensitive)
- Value: AI
Using uppercase AI avoids false positives from words like contain.
Create the AI Agents
You need three AI agents:
- Tweet writer
- LinkedIn post writer
- Blog writer targeting around 500 words
Prepare prompts using an LLM. Each agent uses the same inputs (title, description, summary, URL) but produces a different format. Create each agent in Make using the largest available model. No tools or MCP are required.
Connect Router to Agents
From the router, create three branches and apply the same AI filter to each one. Add a Run an Agent module on every branch and map:
- Title
- Description
- Summary
- URL
Test the Scenario
Run the scenario and confirm. Once verified, the logic layer is complete.
- Only headlines with uppercase AI pass through
- Each passing item triggers three AI outputs
- Output length and structure match the platform
Tak for dine kommentarer!
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Spørg om hvad som helst eller prøv et af de foreslåede spørgsmål for at starte vores chat
Can you explain how to set up the AI agent prompts for each platform?
What should I do if the filter isn't catching all relevant headlines?
How do I verify that the AI outputs are formatted correctly for each platform?
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Completion rate forbedret til 4.55Building the Multimedia Content Creator
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You move from planning into building. Your goal is to assemble the first working version of the multimedia content creator and verify that the logic and AI outputs behave as expected.
Initial Setup
Before opening Make.com:
- Create a Google Sheet with columns: Source link, Source title, Tweet, Blog post, LinkedIn post
- Create a Google Drive folder for future documents
Build the RSS Input
Create a new scenario and add Retrieve RSS Feed Items as the first module.
Generate an XML feed using a tool like RSS.app. Use a broad topic such as tech to ensure AI-related headlines appear. Paste the feed URL into Make, set the maximum items to 10, and save the module.
Filter for AI Headlines
Add a router after the RSS module and run the scenario once to load sample data. Create a filter using:
- Field: Title
- Operator: contains (case sensitive)
- Value: AI
Using uppercase AI avoids false positives from words like contain.
Create the AI Agents
You need three AI agents:
- Tweet writer
- LinkedIn post writer
- Blog writer targeting around 500 words
Prepare prompts using an LLM. Each agent uses the same inputs (title, description, summary, URL) but produces a different format. Create each agent in Make using the largest available model. No tools or MCP are required.
Connect Router to Agents
From the router, create three branches and apply the same AI filter to each one. Add a Run an Agent module on every branch and map:
- Title
- Description
- Summary
- URL
Test the Scenario
Run the scenario and confirm. Once verified, the logic layer is complete.
- Only headlines with uppercase AI pass through
- Each passing item triggers three AI outputs
- Output length and structure match the platform
Tak for dine kommentarer!
