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

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.). Scheduled trigger: The n8n workflow runs automatically on a schedule you define (e.g., every weekday morning at 8:30 AM). Define the recurring query: A Set node holds the specific question you want to ask your Super assistant each time the workflow runs. Query the Super assistant: An HTTP Request node sends this query, along with your unique assistant ID, to the Super API. 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

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. 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."). 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. 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. Set the schedule: Adjust the Schedule Trigger to your desired frequency and time. 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.

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Author:Guillaume Duvernay(View Original →)
Created:9/10/2025
Updated:11/17/2025

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