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Create recurring AI-powered data digests in Slack with Super Assistant

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Create recurring AI-powered data digests in Slack with Super Assistant preview
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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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...

Best for

  • AI RAG automation workflows
  • Multimodal AI automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.httprequest, n8n-nodes-base.slack, n8n-nodes-base.stickynote, n8n-nodes-base.set

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Guillaume Duvernay.

Original n8n.io source

1.1 Workflow description

Title
Create recurring AI-powered data digests in Slack with Super Assistant
Workflow name
Create recurring AI-powered data digests in Slack with Super Assistant

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.

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.

Who is this for?

  • Team leads & managers: Get automated daily or weekly reports on project progress, sales performance, or customer support trends without having to chase down information.
  • Operations teams: Monitor key business activities by receiving automated summaries from various sources in a single, convenient message.
  • Anyone overwhelmed by information: Replace manual check-ins across multiple platforms with a single, intelligent digest tailored to your needs.

What problem does this solve?

  • Eliminates manual reporting: Frees you from the repetitive, time-consuming task of gathering updates from different tools every day.
  • Centralizes key insights: Delivers crucial information from all your connected apps (via your Super assistant) into a single, easy-to-read Slack message.
  • Saves time and improves focus: Start your day with a concise, actionable summary instead of context-switching between numerous tabs and dashboards.
  • Makes powerful, data-connected AI accessible: Simplifies the process of querying a sophisticated AI assistant on a recurring basis to get answers from your own company's data.

How it works

  1. First, in Super: The process starts on the Super platform (https://super.work/), where you create a new assistant. You'll define its purpose with a prompt and connect it to your live data sources (e.g., your Jira projects, Notion databases, etc.).
  2. Scheduled trigger: The n8n workflow runs automatically on a schedule you define (e.g., every weekday morning at 8:30 AM).
  3. Define the recurring query: A Set node holds the specific question you want to ask your Super assistant each time the workflow runs.
  4. Query the Super assistant: An HTTP Request node sends this query, along with your unique assistant ID, to the Super API.
  5. Deliver the digest to Slack: Your Super assistant generates an answer based on the live data it can access. The workflow then formats this answer and posts it as a clear, concise message in your designated Slack channel.

Setup

  1. Set up your Super assistant (Prerequisite): First, go to Super, create an assistant, connect it to your data sources, and copy its Assistant ID and your API Token.
  2. Configure the query: In the Set query node, write the question you want to ask your assistant on a recurring basis (e.g., "Summarize all new deals created in HubSpot yesterday.").
  3. Connect to the Super API: In the Query Super Assistant (HTTP Request) node:
    • Paste your Assistant ID into the assistantId field in the body.
    • Add your Super API Token for authentication. We recommend creating a "Generic Credential" of type "Bearer Token" for this.
  4. Connect Slack: In the Send digest in Slack node, select your Slack account and choose the channel where you want the digest to be posted.
  5. Set the schedule: Adjust the Schedule Trigger to your desired frequency and time.
  6. Activate the workflow, and your automated digests will start arriving as scheduled!

Taking it further

  • Change the destination: Not a Slack user? Easily swap the Slack node for an Email node to send the digest to your inbox, or a Google Sheets node to log all digests over time.
  • Create dynamic queries: Use n8n's expression editor in the Set query node to make your questions dynamic. For example, you could automatically insert yesterday's date into the query each day.
  • Build multi-step reports: Chain multiple HTTP Request nodes to ask your Super assistant several different questions, then combine all the answers into a single, more comprehensive report.

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - Schedule Trigger

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.2

Block 2 - Query Super Assistant

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 3 - Send digest in Slack

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.3

Block 4 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 5 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 6 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 7 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 8 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 9 - Set the query

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

3. Summary Table

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

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/7890/7890.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Frequently asked questions

What does Create recurring AI-powered data digests in Slack with Super Assistant do?

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...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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.