How it works
Automating SeaTable and AWS SES takes no code: a ready-made scenario does the routine for you.
- Starts when: When clicking ‘Test workflow’
- Then: Input Validation
- Then: Query Refiner
- Then: Research AI Agent
- Then: Parse Research Output
- Then: Split Out
- Then: Merge Split Items
- Then: Aggregate
- Then: Store Research Metadata
- Then: Generate PDF HTML
- Then: Convert HTML to PDF
- Then: Download PDF
- Then: Send Research to Gmail
- Then: Send PDF
- Then: Search Folder
- Check: If
- Then: OpenAI Chat Model
- Then: Simple Memory
- Then: Search News
- Then: Wikipedia
- Then: OpenAI Chat Model1
- Then: Google Search Web
- Then: SerpApi
- Then: Structured Output Parser
- Starts when: Executed by Main AI Agent
You can launch this SeaTable + AWS SES integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.