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Create Recurring AI-Powered Data Digests in Slack with Super Assistant

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Created by: Guillaume Duvernay || duv

Guillaume Duvernay

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Last update 23 days ago

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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.