Block 1 - Schedule Trigger
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
Stop the daily grind of checking multiple apps just to stay updated. This template automates the creation of recurring digests by querying a powerful AI assistant you build on the Super platform. F...
n8n-nodes-base.scheduletrigger, n8n-nodes-base.httprequest, n8n-nodes-base.slack, n8n-nodes-base.stickynote, n8n-nodes-base.set
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Guillaume Duvernay.
Original n8n.io sourceStop the daily grind of checking multiple apps just to stay updated. This template automates the creation of recurring digests by querying a powerful AI assistant you build on the Super platform.
First, create an assistant in Super (https://super.work/) and connect it to all your key data sources like Notion, Jira, Slack, and HubSpot.
Then, use this n8n workflow to ask it a specific question on a recurring schedule (e.g., "What was the progress on our key projects yesterday?").
The workflow delivers a concise, AI-generated summary directly to a Slack channel of your choice. It's the easiest way to get the information that matters most, without the manual work.
assistantId field in the body.This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Create recurring AI-powered data digests in Slack with Super Assistant |
|---|---|
| Complexity | intermediate |
| Nodes | 9 |
| Categories | AI RAG, Multimodal AI |
| Author | Guillaume Duvernay |
| Published | 26 Aug 2025 |
Use the JSON export at /data/workflows/7890/7890.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Stop the daily grind of checking multiple apps just to stay updated. This template automates the creation of recurring digests by querying a powerful AI assistant you build on the Super platform. F...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your AI RAG, Multimodal AI use case.