How it works
To connect Brevo and , you don't need a developer: a ready-made scenario links them in minutes.
- Starts when: When fetching a dataset row
- Then: World Series Searcher
- Then: Evaluation3
- Then: Evaluation
- Then: Evaluation5
- Then: Google Gemini Chat Model
- Starts when: When fetching a dataset row1
- Then: Evaluation4
- Then: Evaluation6
- Then: Evaluation7
- Then: Evaluation8
- Then: Evaluation1
- Then: Evaluation10
- Then: Evaluation9
- Starts when: When fetching a dataset row2
- Then: World Series Searcher1
- Then: Evaluation2
- Then: Evaluation12
- Then: Evaluation11
- Starts when: When fetching a dataset row3
- Then: US Postal Formatter
- Then: Evaluation13
- Then: Evaluation15
- Then: Evaluation14
- Starts when: When fetching a dataset row4
- Then: Article Reviewer
- Then: Google Gemini Chat Model3
- Then: Evaluation16
- Then: Evaluation18
- Then: Evaluation17
- Starts when: When fetching a dataset row5
- Then: Product Description Rewriter
- Then: Google Gemini Chat Model4
- Then: Anthropic Chat Model
- Then: Perplexity Tool
- Then: Anthropic Chat Model1
- Then: OpenAI Chat Model
- Then: OpenAI Chat Model1
- Starts when: When fetching a dataset row6
- Then: Information Extractor
- Then: Evaluation20
- Then: Evaluation19
- Then: Evaluation21
- Check: If
- If yes: Send a message
- If no: Send a message1
- Starts when: Gmail Trigger
- Then: Extract from File
- Then: Google Gemini Chat Model1
You can launch this integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.